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Accepted Workshops

Workshops are gathering places for attendees with shared interests to meet in the context of a focused and interactive discussion. These events offer opportunities to advance specific areas of research and a chance to find people who care about similar issues, questions, and research agendas — a great way to meet relevant people and build communities.

The workshops are organized independently by their organizers. Please see the websites of the individual events for detailed instructions on how to attend and submit position papers, etc.

UPDATE on Dec 19, 2023: Please note that the following list of workshops might include minor details that are subject to change. Please check this page (and the individual workshop pages) later for updates.

Saturday (11 May 2024)

Sunday (12 May 2024)

Descriptions of Workshops

WS 1: AI and the Afterlife

Sat | 304B | In-person | one-day

Webpage: https://sites.google.com/view/ai-and-the-afterlife-workshop/


  • Jed R. Brubaker, University of Colorado Boulder
  • Meredith Ringel Morris, Google DeepMind
  • Dylan Thomas Doyle, University of Colorado Boulder
  • Casey Fiesler, University of Colorado
  • Martin Gibbs, The University of Melbourne
  • Joanna McGrenere, University of British Columbia

Description: AI technologies are likely to impact an array of existing practices (and give rise to a host of novel ones) around end-of-life planning, remembrance, and legacy in ways that will have profound legal, economic, emotional, and religious ramifications. At this critical moment of technological change, there is an opportunity for the HCI community to shape the discourse on this important topic through value-sensitive and community-centered approaches. This workshop will bring together a broad group of academics and practitioners with varied perspectives including HCI, AI, and other relevant disciplines (e.g., law, economics, religious studies, etc.) to support community-building, agenda-setting, and prototyping activities among scholars and practitioners interested in the nascent topic of how advances in AI will change socio-technical practices around death, remembrance, and legacy.

WS 2: Building a Metaverse for All: Opportunities and Challenges for Future Inclusive and Accessible Virtual Environments

Sat | 304A | Hybrid | one-day

Webpage: https://sites.google.com/view/accessiblemetaverse


  • Callum Parker, University of Sydney
  • Soojeong Yoo, University College London
  • Joel Fredericks, The University of Sydney
  • Tram Thi Minh Tran, School of Architecture, Design and Planning, The University of Sydney
  • Julie R. Williamson, University of Glasgow
  • Youngho Lee, Mokpo National University
  • Woontack Woo, KAIST

Description: The Metaverse is proposed as a collection of interconnected virtual worlds allowing people to seamlessly access and traverse through them. It offers an opportunity to remove physical boundaries and borders present in our reality with the potential to bring together people from all walks of life. The development of a Metaverse or a ‘new world’ offers a compelling opportunity to establish a space that is both all-encompassing and accessible to everyone. However a key challenge is understanding how the Metaverse can be designed from the ground up to be inclusive and accessible. This workshop aims to gain further understanding of how to create an open and inclusive Metaverse for all, while also exploring methods for its evaluation. The key outcomes of this workshop outline new opportunities for improving the inclusivity of the Metaverse, evaluation methodologies, and key considerations for designing accessible Metaverse environments and interactions.

WS 3: CUI@CHI 2024: Building Trust in CUIs – From Design to Deployment

Sat | 305B | Hybrid | one-day

Webpage: https://cui.acm.org/workshops/CHI2024/


  • Smit Desai, University of Illinois, Urbana-Champaign
  • Christina Ziying Wei, University of Toronto
  • Jaisie Sin, University of British Columbia
  • Mateusz Dubiel, University of Luxembourg
  • Nima Zargham, University of Bremen
  • Shashank Ahire, Leibniz University Hannover
  • Martin Porcheron, Bold Insight
  • Anastasia Kuzminykh, University of Toronto
  • Minha Lee, Eindhoven University of Technology
  • Heloisa Candello, IBM Research
  • Joel E Fischer, University of Nottingham
  • Cosmin Munteanu, University of Waterloo
  • Benjamin R. Cowan, University College Dublin

Description: Conversational user interfaces (CUIs) have become an everyday technology for people the world over, as well as a booming area of research. Advances in voice synthesis and the emergence of chatbots powered by large language models (LLMs), notably ChatGPT, have pushed CUIs to the forefront of human-computer interaction (HCI) research and practice. Now that these technologies enable an elemental level of usability and user experience (UX), we must turn our attention to higher-order human factors: trust and reliance. In this workshop, we aim to bring together a multidisciplinary group of researchers and practitioners invested in the next phase of CUI design. Through keynotes, presentations, and breakout sessions, we will share our knowledge, identify cutting-edge resources, and fortify an international network of CUI scholars. In particular, we will engage with the complexity of trust and reliance as attitudes and behaviours that emerge when people interact with conversational agents.

WS 4: Dark Sides: Envisioning, Understanding, and Preventing Harmful Effects of Writing Assistants – The Third Workshop on Intelligent and Interactive Writing Assistants

Sat | 317B | Hybrid | one-day

Webpage: https://in2writing.glitch.me/


  • Minsuk Chang, Google
  • John Joon Young Chung, Midjourney
  • Katy Ilonka Gero, Harvard University
  • Ting-Hao Kenneth Huang, Pennsylvania State University
  • Dongyeop Kang, University of Minnesota
  • Vipul Raheja, Grammarly
  • Sarah Sterman, University of Illinois, Urbana-Champaign
  • Thiemo Wambsganss, Bern University of Applied Sciences

Description: Writing assistants are becoming increasingly sophisticated and ubiquitous, fueled by advances in artificial intelligence, particularly large language models. As new use cases and models emerge, we expect the adoption rate to accelerate. This brings a sense of urgency to understanding not just the benefits, but also the potential dark sides of intelligent writing assistants. In this interdisciplinary workshop, we will explore the challenges and dark sides that our communities may have to consider as we design and deploy new tools and technologies, as well as how to prevent them. We will build off the successful workshop at CHI23 (The Second In2Writing Workshop), bringing new voices to the vibrant community of writing tools researchers established there, and building on the design space created by prior workshop participants. We invite writers, educators, researchers, industry practitioners, students, and anyone interested in creating, using, and testing future writing assistant technologies to join the conversation.

WS 5: EmpathiCH: Scrutinizing Empathy-Centric Design Beyond the Individual

Sat | 323B | Hybrid | one-day

Webpage: https://empathich.com


  • Alok Debnath, Trinity College Dublin
  • Allison Lahnala, University of Bonn
  • Hüseyin Uğur Genç, TU Delft
  • Ewan Soubutts, University College London
  • Michal Lahav, GOOGLE INC
  • Tiffanie Horne, Google LLC
  • Wo Meijer, TU Delft
  • Yun Suen Pai, Keio University Graduate School of Media Design
  • Yen-Chia Hsu, University of Amsterdam
  • Giulia Barbareschi, University College London
  • Himanshu Verma, TU Delft
  • Andrea Mauri, Université Claude Bernard Lyon 1

Description: The EmpathiCH Workshop aims to blend a diverse set of expertise to expand upon the nascent field of Empathy-Centric Design. Building on the discussions in previous editions of the workshop, this iteration invites contributions which scrutinize the use of empathy as a design principle in digital interfaces. We encourage inquiry in a number of research dimensions: examining the multifaceted nature of empathy; establishing both the requirements and shortcomings of empathy in design research; discussing key post-human stakeholders in digital interfaces (social groups, causes, digital avatars, artificial agents etc.); and expanding the scope of empathy research beyond preliminary perspective-taking. The workshop, structured as a combination of author panels, expert discussion, and interactive activities, provides the ideal venue to foster a critical discussion on the nature of the suitability of empathy in digital design, especially in the rapidly approaching context of its role in post-humanist HCI.

WS 6: GenAICHI 2024: Generative AI and HCI at CHI 2024

Sat | 323A | Hybrid | one-day

Webpage: https://generativeaiandhci.github.io/


  • Michael Muller, IBM Research
  • Anna Kantosalo, Siili
  • Mary Lou Maher, University of North Carolina at Charlotte
  • Charles Patrick Martin, Australian National University
  • Greg Walsh, University of Baltimore

Description: This workshop applies human centered themes to a new and powerful technology, generative artificial intelligence (AI), and – among other approaches – particularly to Large Language Models (LLMs) and Foundation Models (FMs). Unlike AI systems that produce decisions or descriptions, generative AI systems can produce new and creative content that can include images, texts, music, video, code, and other forms of design. The results are often similar to results produced by humans. However, it is not yet clear how humans make sense of generative AI algorithms or their outcomes. It is also not yet clear how humans can control and more generally, interact with, these powerful capabilities in ethical ways. Finally, it is not clear what kinds of collaboration patterns will emerge when creative humans and creative technologies work together. Following successful workshops in 2022 and 2023, we convene the interdisciplinary research domain of generative AI and HCI. Participation in this invitational workshop is open to seasoned scholars and early career researchers. We solicit descriptions of completed projects, works-in-progress, and provocations. Together we will develop theories and practices in this intriguing new domain.

WS 7: HabiTech: Inhabiting Buildings, Data & Technology

Sat | 307B | Hybrid | one-day

Webpage: http://HabiTech.space


  • Jakub Krukar, University of Muenster
  • Ruth Conroy Dalton, Northumbria University
  • Christoph Hoelscher, ETH Zürich
  • Nick Sheep Dalton, Northumbria University
  • Christian Veddeler, 3XN Architects
  • Mikael Wiberg, Umeå University

Description: As larger parts of our lives are determined in the digital realm, it is critical to reflect on how democratic values can be preserved and cultivated by technology. At the city-scale, this is studied in the field of ‘digital civics’; however, there seems to be no corresponding focus at the level of buildings/building inhabitants. The majority of our lives are spent indoors and therefore the impact that ‘indoor digital civics’ may have, might exceed that of city-scale, digital civics. The digitization of building design and building management creates an opportunity to better identify, protect, and cultivate civic values that, until now, were centralized in the hands of building designers and building owners. By bringing together leading architecture/HCI academics and commercial stakeholders, this workshop builds on previous workshops at CHI. The workshop will provide a forum where a new agenda for research in ‘HabiTech’ can be defined and new research collaborations formed.

WS 8: Haptic Playground: Empowering Inclusive Haptic Design for Everyone

Sat | 303A | In-person | one-day

Webpage: https://uw-hapticexperincelab.github.io/HapticPlayground/


  • Bibhushan Raj Joshi, Waterloo University
  • Sandeep Zechariah George Kollannur, University of Southern California
  • Anchit Mishra, University of Waterloo
  • Tommy Nguyen, University of British Columbia
  • Oliver Schneider, University of Waterloo

Description: While haptic technology is rapidly maturing, training for haptics is in its infancy. Disciplinary siloing has contributed to fast but fragmented growth of the haptics industry; graduate courses mainly exist for individual STEM fields, such as device development for mechanical engineers or study design for psychologists. Despite increasing broad interest to use haptics, many potential researchers and practitioners face barriers to learning how to design and study haptics, especially when their background is outside of STEM fields. This one-day workshop will bring together both expert and new or aspiring hapticians to work together to break down disciplinary silos. Expert hapticians with expertise in design justice and haptics community development will give invited talks to frame the discussion. Attendees will work with two interactive tangible tools to design haptic sensations, then reflect on their process, challenges faced, and successful strategies. By adhering to the principles of inclusive design during the process, we aim to render haptic design accessible to a wider audience, recognizing and respecting the unique design needs of each individual. The result will be a more comprehensive understanding of tangible tools' crucial role in the haptic technology design process, while offering vital insights on inclusive design, ultimately supporting further development of a multidisciplinary, diverse practice of haptic design and research.

WS 9: HCI and Aging: New Directions, New Principles

Sat | 306B | Hybrid | one-day

Webpage: https://digiage.io/chiworkshop/


  • Bran Knowles, Lancaster University
  • Aneesha Singh, University College London
  • Aloha Hufana Ambe, Queensland University of Technology
  • Robin N. Brewer, University of Michigan
  • Amanda Lazar, University of Maryland
  • Helen Petrie, University of York
  • John Vines, University of Edinburgh
  • Jenny Waycott, The University of Melbourne

Description: Concerns regarding the impacts of stereotyped, deficit-based, and problem-oriented approaches to older adult users have propelled HCI to explore new understandings and ways of approaching aging as a subject in recent years. Meanwhile, older adults’ relationships with digital technologies are also evolving, driven both by technological advancements and the destabilizing experience of the global pandemic. Now is an important time to take stock of these changes and their significance to the field of HCI and Aging. This workshop attends, therefore, to the need for collective reflection on where the field is now, how we got here, and where it is heading. In addition to highlighting emerging areas requiring research attention, the workshop will produce a snapshot in time to compare with several years hence as the field continues to evolve. The second part of the workshop responds to the need for a clear alternative to deficit based approaches to designing technologies for older adult users. We will pool the collective wisdom of the HCI and Aging community to generate a set of principles to guide research and development toward maximization of benefit and minimization of harm to older adult users/stakeholders.

WS 10: Human-Notebook Interactions: The CHI of Computational Notebooks

Sat | 323C | Hybrid | one-day

Webpage: https://humannotebookinteractions.github.io/index.html


  • Jesse Harden, Virginia Tech
  • April Yi Wang, ETH Zurich
  • Rebecca Faust, Virginia Tech
  • Katherine E. Isaacs, The University of Utah
  • Nurit Kirshenbaum, University of Hawaii at Manoa
  • John Wenskovitch, Pacific Northwest National Laboratory
  • Jian Zhao, University of Waterloo
  • Chris North, Virginia Tech

Description: The overall goal of this workshop is to bring together researchers from across the CHI community to share their knowledge and build collaborations at the intersection of computational notebook and HCI research, focusing on both the effective design and effective use of interfaces and interactions within computational notebook environments. This includes innovating upon the computational notebook metaphor, designing new tools, interfaces, and interactions for use with computational notebooks, and more. We aim to pull expertise from across all fields of CHI to deliver novel research and generate open discussion about the current state of computational notebooks, how it can be improved from an HCI standpoint, and how these potential improvements can direct future research. To achieve this goal, we propose a full-day, hybrid workshop with discussions of challenges and opportunities, paper and demo presentations, lightning talks, and a keynote. Participants in this workshop will exchange ideas and help define a roadmap for future research at the intersection of HCI and computational notebook design.

WS 11: Novel Approaches for Understanding and Mitigating Emerging New Harms in Immersive and Embodied Virtual Spaces: A Workshop at CHI 2024

Sat | 306A | Hybrid | one-day

Webpage: https://sites.google.com/view/chi-2024-workshop-newharms/


  • Guo Freeman, Clemson University
  • Julian Frommel, Utrecht University
  • Regan L Mandryk, University of Victoria
  • Jan Gugenheimer, TU-Darmstadt
  • Lingyuan Li, Clemson University
  • Daniel Johnson, QUT

Description: As online spaces facilitate increasingly immersive and embodied experiences, concerns about how these emerging spaces may amplify and extend existing online harms and even lead to new harms, and how HCI researchers and developers can work to mitigate such harms also grow. Typical examples of these new and understudied forms of harm range from embodied harassment in social Virtual Reality (VR) to racist Zoombombing, new AI-powered online attacks such as hate raids on Twitch, and harmful virtual world design to manipulate users. This workshop aims to bring together a set of interdisciplinary researchers and practitioners from HCI and adjacent fields to explore further how these new harms continue to shape the current research discourse of online safety, cybersecurity, and immersive and embodied interactions in HCI, and to collectively identify what new technologies and mechanisms can be envisioned, designed, and implemented to better understand and mitigate these harms.

WS 12: Office Wellbeing by Design: Don’t Stand for Anything Less

Sat | 309 | Hybrid | one-day

Webpage: https://www.hcilab.org/workplace-wellbeing/


  • Luke Haliburton, LMU Munich
  • Ida Damen, Fontys University of Applied sciences
  • Carine Lallemand, University of Luxembourg
  • Aino Ahtinen, Tampere University
  • Jasmin Niess, University of Oslo
  • Paweł W. Woźniak, Chalmers University of Technology

Description: The modern workplace has been optimized towards increasing productivity, often at the cost of long-term worker wellbeing. This systemic issue has been acknowledged in both research and practice, but has not yet been solved. There is a notable lack of practical methods of incorporating physical activity and other wellbeing practices into productive workplace activities. We see a gap between research endeavors and industry practice that motivates a call for increased collaboration between the two parties. In response, our workshop aims to bring together researchers and practitioners to work together in identifying a set of grand challenges for the field. Through collaboration, we will create a concrete research agenda to create a resilient future workplace that explicitly incorporates holistic worker wellbeing.

WS 13: PhysioCHI: Towards Best Practices for Integrating Physiological Signals in HCI

Sat | 318A | Hybrid | one-day

Webpage: https://www.hcilab.org/physiochi24/


  • Francesco Chiossi, LMU Munich
  • Ekaterina R. Stepanova, Simon Fraser University
  • Benjamin Tag, Monash University
  • Monica Perusquia-Hernandez, Nara Institute of Science and Technolgy
  • Alexandra Kitson, Simon Fraser University
  • Arindam Dey, University of Queensland
  • Sven Mayer, LMU Munich
  • Abdallah El Ali, Centrum Wiskunde & Informatica (CWI)

Description: Recently, we saw a trend toward using physiological signals in interactive systems. These signals, offering deep insights into users’ internal states and health, herald a new era for HCI. However, as this is an interdisciplinary approach, many challenges arise for HCI researchers, such as merging diverse disciplines, from understanding physiological functions to design expertise. Also, isolated research endeavors limit the scope and reach of findings. This workshop aims to bridge these gaps, fostering cross-disciplinary discussions on usability, open science, and ethics tied to physiological data in HCI. In this workshop, we will discuss best practices for embedding physiological signals in interactive systems. Through collective efforts, we seek to craft a guiding document for best practices in physiological HCI research, ensuring that it remains grounded in shared principles and methodologies as the field advances.

WS 14: Shaping The Future: Developing Principles for Policy Recommendations for Responsible Innovation in Virtual Worlds

Sat | 319B | In-person | one-day

Webpage: https://shapingthexrfuture.my.canva.site


  • Mike Richardson, University of Bath
  • Alicia G Cork, University of Bath
  • Danaë Stanton Fraser, University of Bath
  • Michael J Proulx, University of Bath
  • Xueni Pan, Goldsmiths
  • Veronika Krauß, University of Siegen
  • Mohamed Khamis, University of Glasgow
  • Heide Lukosch, University of Canterbury

Description: As Extended Reality (XR) technologies continue to evolve at a rapid pace, they hold the promise of transforming the way we interact both with digital information and the physical world. Whilst Augmented Reality (AR), Virtual Reality (VR), and Mixed Reality (MR) technologies offer unbridled opportunities for social connections, productivity, and play, these rapid technological advancements also pose critical challenges to ethics, privacy, accessibility, and safety. At present, there is little policy documentation that directly addresses the novel affordances posed by XR technologies, leading to a ‘policy void’ in this space. Having clear and effective policy frameworks prior to the widespread adoption of technology encourages and enables responsible and ethical innovation of XR technologies. This workshop is therefore dedicated to developing forward-thinking principles to guide policy recommendations that address potential future vulnerabilities posed by the widespread adoption of XR technologies whilst simultaneously encouraging the responsible innovation of new advancements within XR. To ensure these policy recommendations promote responsible innovation, the workshop will assemble multidisciplinary academics, industry developers and international policymakers. Our goal is to ensure that all perspectives are considered such that we can collaboratively chart a responsible and sustainable course for the XR landscape.

WS 15: Sustainable Unmaking: Designing for Biodegradation, Decay, and Disassembly

Sat | 319A | Hybrid | one-day

Webpage: https://kwsong.github.io/unmaking-at-chi/


  • Katherine W Song, UC Berkeley
  • Fiona Bell, University of New Mexico
  • Himani Deshpande, Texas A&M University
  • Ilan Mandel, Cornell Tech
  • Tiffany Wun, Simon Fraser University
  • Mirela Alistar, University of Colorado Boulder
  • Leah Buechley, University of New Mexico
  • Wendy Ju, Cornell Tech
  • Jeeeun Kim, Texas A&M University
  • Eric Paulos, UC Berkeley
  • Samar Sabie, University of Toronto
  • Ron Wakkary, Simon Fraser University

Description: Unmaking is a counterpart to making and creating new things that has emerged as a concept of interest in diverse parts of the HCI community. Unmaking has been posed as an ally to sustainability, encouraging designers to foreground issues relating to reuse, repair, obsolescence, degradation, and decay early in their design process. As a follow-up to the 2022 Unmaking@CHI workshop, this workshop will bring together researchers and practitioners interested in unmaking as it relates to sustainability and will focus primarily on exploring the role of unmaking in material practices, drawing upon the growing body of unmaking theory to explore future research opportunities for designing physical things with sustainable materials that are transient, degradable, and intentionally unmake-able. In addition to considering the pragmatics of what and how to unmake, we seek to articulate the relationships among unmaking and other related emerging themes and sustainable material practices – including biodegradation, designing with more-than-human agencies, reuse, and repair – and propose guidelines for designing for the unmaking of physical artifacts that are sustainable, equitable, and respectful of all entities involved.

WS 16: Sustaining Scalable Sustainability: Human-Centered Green Technology for Community-wide Carbon Reduction

Sat | 303B | Hybrid | one-day

Webpage: https://sustainingscalablesustainability.wordpress.com/


  • Vikram Mohanty, Bosch Research North America
  • Jingchao Fang, UC Davis
  • Song Mi Lee, University of Michigan
  • Hamed Alavi, University of Amsterdam
  • Joaquin Salas, Instituto Politécnico Nacional
  • Geneviève Patterson, Ocean Vision AI
  • Elizabeth F Churchill, Google LLC
  • Charlene C. Wu, Toyota Research Institute
  • David A. Shamma, Toyota Research Institute

Description: Escalating global CO2 emissions underscore the urgent need for scalable and effective sustainable practices. Beyond the roles of corporations and policymakers, there’s a critical need for carbon-neutrality-based systems and practices that address the disconnect between individual actions and their perceived environmental impact. This one-day, hybrid workshop emphasizes the role of individuals and communities, advocating for human-centered tools to bridge the awareness-action gap. While Human-AI Interaction (HAI), cognitive science theories, and social computing tools have demonstrated potential in various domains, their application in sustainability, particularly in fostering carbon reduction, remains largely unexplored. This workshop aims to explore these avenues by developing tractable systems for effective, contextually relevant interventions that drive sustainable behaviors and carbon reduction efforts. Engaging multidisciplinary researchers, we seek to intertwine local insights with behavioral theory and technology, fostering intrinsic carbon literacy and a sustainability ethos, thereby ensuring lasting and scalable impacts.

WS 17: The Second Workshop on Child-Centered AI Design (CCAI)

Sat | 317A | Hybrid | one-day

Webpage: https://workshopccai.org/


  • Ayça Atabey, University of Edinburgh
  • Ge Wang, University of Oxford
  • Samantha-Kaye Johnston, The University of Oxford
  • Grace C. Lin, Massachusetts Institute of Technology
  • Cara Wilson, University of Edinburgh
  • Lachlan D Urquhart, University of Edinburgh
  • Jun Zhao, University of Oxford

Description: AI-powered solutions are increasingly woven into the fabric of children’s digital worlds. They’re found in interactive toys, home automation systems, everyday apps, and various online services that young users engage with. As we look ahead, it’s almost certain that the prevalence of AI in tools and platforms designed for kids will grow, given AI’s ability to offer rich, tailored, and dynamic experiences. However, the nuances of how these AI-centric platforms cater to children and how they can be optimized to meet the unique needs of younger users remain largely underexplored. Building on the momentum from our inaugural CCAI workshop at CHI 2023, our aspirations for this year’s workshop include: (1) deepening the discourse on the essence of AI that prioritizes children, (2) focusing on actionable strategies to operationalise child-centered AI design principles into practice, and (3) cultivating an ever-growing collective of professionals passionate about the future of child-focused AI innovations.

WS 18: Toward a More Comprehensive Understanding of Visualization Literacy

Sat | 318B | In-person | one-day

Webpage: https://visualization-literacy.github.io/CHI2024/


  • Lily W. Ge, Northwestern University
  • Maryam Hedayati, Northwestern University
  • Yuan Cui, Northwestern University
  • Yiren Ding, Worcester Polytechnic Institute
  • Karen Bonilla, Worcester Polytechnic Institute
  • Alark Joshi, University of San Francisco
  • Alvitta Ottley, Washington University in St. Louis
  • Benjamin Bach, University of Edinburgh
  • Bum Chul Kwon, IBM Research
  • David N. Rapp, Northwestern University
  • Evan Peck, University of Colorado Boulder
  • Lace M. Padilla, Northeastern University
  • Michael Correll, Northeastern University
  • Michelle A. Borkin, Northeastern University
  • Lane Harrison, Worcester Polytechnic Institute
  • Matthew Kay, Northwestern University

Description: Researchers have proposed many definitions of visualization literacy, targeting various aspects of the term. But we have yet to fully capture what it really means to be literate in visualizations, which has important downstream implications, such as how to effectively teach visualization skills to younger generations. We ran a meetup at IEEE VIS 2022 that attracted over 30 researchers in the field, who discussed aspects of visualization literacy such as how we measure it, how we can improve it, how it develops, and how it relates to other literacies. ACM CHI has a track record of attracting researchers from various fields such as visualization, learning sciences, and design, advancing research through both quantitative and qualitative approaches in and around HCI. For this year’s CHI, we propose to run a one-day workshop with the goal of further developing actionable research agendas to more comprehensively define, understand, and improve visualization literacy. By continuing critical discussions with diverse perspectives from the CHI community, we can deepen investigations of visualization literacy through multiple lenses, such as measurement, interventions, and pedagogy.

WS 19: Transformative Technologies for Children: Going beyond ‘Good’

Sat | 305A | Hybrid | half-day

Webpage: http://www.chici.org/TTWorkshop/


  • Dan Fitton, University of Central Lancashire
  • Janet Read, ChiCI Lab, University of Central Lancashire
  • Eva Eriksson, Aarhus University
  • Elizabeth Bonsignore, University of Maryland
  • Netta Iivari, University of Oulu
  • Heidi Hartikainen, University of Oulu
  • Rhona Anne Anne Dick, Lingokids

Description: Against the backdrop of growing screen time, rising mental health issues, increasing loneliness, and general ill effects from technology use, it is time for the CHI community to consider how technology for children can be better than ‘good’. There are many examples of good technologies across research and commercial products, for technology to be more than ‘good’ it needs to have a transformative effect on children’s lives that lasts beyond a monetary positive experience. Such technology could, for example, build resilience, encourage compassion, promote inclusive behaviours, and improve overall happiness. This workshop will explore what better than ‘good’ technology may look like and create a manifesto for the CHI community to support Transformative Technologies for children in our work.

WS 20: Trust and Reliance in Evolving Human-AI Workflows (TREW)

Sat | 324 | Hybrid | one-day

Webpage: https://chi-trait.github.io/#/


  • Zana Buçinca, Harvard University
  • Gagan Bansal, University of Washington
  • Tongshuang Wu, Carnegie Mellon University
  • Alison Marie Smith-Renner, Dataminr
  • Zahra Ashktorab, IBM Research
  • Kenneth Holstein, Carnegie Mellon University
  • Wenjuan Zhang, Dataminr
  • Jessica Hullman, Northwestern University

Description: State-of-the-art AIs, including Large Language Models (LLMs) like GPT-4, now possess the capabilities once unique to humans, such as coding, idea generation, and planning. These advanced AIs are now integrated into a plethora of platforms and tools, including GitHub Copilot, Bing Chat, Bard, ChatGPT, and Advanced Data Analytics. In contrast to conventional, specialized AIs that typically offer singular solutions, these LLMs redefine human-AI dynamics. Instead of perceiving AIs merely as supportive tools, there’s a growing trend where humans view them as collaborative counterparts. This shift leads to enhanced dialogues, negotiations, and task delegation between humans and AI. With these rapid advancements, the nature of human roles in the AI collaboration spectrum is evolving. While our previous workshops like CHI TRAIT 2022 and 2023 delved into the trust and reliance concerning traditional AIs, the pressing question now is: how should humans gauge trust and reliance with these emerging AI technologies? As these systems witness widespread adoption, there’s also a need to assess their impact on human skill development. Does AI assistance amplify human skill progression, or does it inadvertently inhibit it? Considering the multifaceted challenges and solutions that revolve around human-AI interactions, we invite experts from diverse fields, including HCI, AI, ML, psychology, and social science. Our aim is to bridge communication gaps and facilitate rich collaborations across these domains.

WS 21: Challenges and Opportunities of LLM-Based Synthetic Personae and Data in HCI

Sun | 309 | In-person | one-day

Webpage: https://llmchi24.weebly.com/


  • Mirjana Prpa, Northeastern University
  • Giovanni M Troiano, Northeastern University
  • Matthew Wood, Durham University
  • Yvonne Coady, University of Victoria

Description: Synthetic personae and data powered by artificial intelligence (AI) are emerging in many HCI areas, including education and training, gaming, and piloting research studies. Recently, Large Language Models (LLMs) have shown promise for synthetic AI personae, experimenting with human and social simulacra and producing synthetic data. This presents challenges and opportunities for extending HCI research via LLMs and AI. In this proposed workshop, we engage HCI researchers interested in working with LLMs, synthetic personae, and synthetic data through speculative design and producing visions, desiderata, and requirements for future HCI research engaging with synthetic personae/data. The outcomes of this workshop may be disseminated to the HCI community through scientific publications or special issues to facilitate continued discussion and advance knowledge on a timely HCI topic.

WS 22: Computational Methodologies for Understanding, Automating, and Evaluating User Interfaces

Sun | 323C | Hybrid | one-day

Webpage: https://sites.google.com/view/computational-uichi24


  • Yue Jiang, Aalto University
  • Yuwen Lu, University of Notre Dame
  • Tiffany Knearem, Google
  • Clara E Kliman-Silver, Google
  • Christof Lutteroth, University of Bath
  • Toby Jia-Jun Li, University of Notre Dame
  • Jeffrey Nichols, Apple Inc
  • Wolfgang Stuerzlinger, Simon Fraser University

Description: Building on the success of the first two workshops on user interfaces (UIs) at CHI 2022 and CHI 2023, this workshop aims to advance the research field by further exploring current research trends, such as applying large language models and visual language models. Previous work has explored computational approaches to understanding and adapting UIs using constraint-based optimization models and machine learning-based data-driven approaches. In addition to further delving into these established UI research areas, we aim to trigger the exploration into the application of the latest advancements in general-purpose large language and vision-language models within the UI domain. We will encourage participants to explore novel methods for understanding, automating, and evaluating UIs. The proposed workshop seeks to bring together academic researchers and industry practitioners interested in computational approaches for UIs to discuss the needs and opportunities for future user interface algorithms, models, and applications.

WS 23: Conducting Research at the Intersection of HCI and Health: Building and Supporting Teams with Diverse Expertise to Increase Public Health Impact

Sun | 318A | Hybrid | one-day

Webpage: https://sites.uci.edu/hcihealthteams/


  • Elena Agapie, University of California, Irvine
  • Ravi Karkar, University of Massachusetts Amherst
  • Tricia Aung, University of Washington
  • Eleanor R. Burgess, Elevance Health
  • Munyaradzi Joel Chinguwa, HCDExchange
  • Andrea K Graham, Northwestern University Feinberg School of Medicine
  • Predrag Klasnja, University of Michigan
  • Aaron Lyon, University of Washington
  • Terika McCall, Yale School of Public Health
  • Sean A. Munson, University of Washington
  • Francisco Nunes, Fraunhofer Portugal AICOS
  • Katie Osterhage, University of Washington

Description: Research at the intersection of human-computer interaction/human-centered design (HCI/HCD) and health is increasingly done by collaborative cross-disciplinary teams. The need for cross-disciplinary teams arises from the interdisciplinary nature of the work itself—with the need for expertise in a health discipline, experimental design, statistics, and computer science, in addition to HCI/HCD. This work can also increase innovation, transfer of knowledge across fields, and have a higher impact on communities. To succeed at a collaborative project, researchers must effectively form and maintain a team that has the right expertise, integrate research perspectives and work practices, align individual and team goals, and secure funding to support the research. However, successfully operating as a team has been challenging for HCI/HCD and health researchers, and can be limited due to a lack of training, shared vocabularies, lack of institutional incentives, support from funding agencies, and more; which significantly inhibits their impact. This workshop aims to draw on the wealth of individual experiences in health project team collaboration across the CHI community and beyond. By bringing together different stakeholders involved in HCI health research, together, we will identify needs experienced during interdisciplinary HCI and health collaborations. We will identify existing practices and success stories for supporting team collaboration and increasing HCI capacity in health research. We aim for participants to leave our workshop with a toolbox of methods to tackle future team challenges, a community of peers who can strive for more effective teamwork, and feeling positioned to make the health impact they wish to see through their work.

WS 24: Designing (with) AI for Wellbeing

Sun | 319B | Hybrid | one-day

Webpage: https://designingwithaiforwellbeing.github.io/


  • Dimitra Dritsa, Eindhoven University of Technology
  • Loes van Renswouw:, Eindhoven University of Technology
  • Sara Colombo, Delft University of Technology
  • Kaisa Väänänen, Tampere University
  • Sander Bogers, Philips Design
  • Arian Martinez, Microsoft
  • Jess Holbrook, Meta
  • Aarnout Brombacher, Eindhoven University of Technology

Description: Designing with data and Artificial Intelligence (AI) can bring significant value to the development of systems and technologies that promote personal wellbeing. However, there are also unaddressed challenges and risks connected to designing (with) AI for wellbeing, such as the difficulties in ensuring that the generated feedback or proposed interventions are relevant considering the large interpersonal variations between the current, desired and achievable level of physical and mental wellbeing of different individuals. In this one-day hybrid workshop, we aim to bring together design and HCI researchers and practitioners interested in the intersection of design, AI, and wellbeing beyond clinical applications. We will discuss challenges in designing with AI for wellbeing originating from a) the domains of design and b) general issues in developing AI systems, and uncover new potential directions that emerge when coupling design, AI and wellbeing. Our aim is to bring together researchers and practitioners from various fields and backgrounds who use data and AI when designing for wellbeing. Through this workshop, we aim to create a conceptual framework that enables the emergence of rich, meaningful, and ethical solutions for designing (with) AI for wellbeing, while also providing handles to mitigate the emergence of negative consequences.

WS 25: Designing Inclusive Future Augmented Realities

Sun | 304B | Hybrid | one-day

Webpage: https://inclusivear.wordpress.com/


  • Michael Nebeling, University of Michigan
  • Mika Oki, University of Tsukuba
  • Mirko Gelsomini, Scuola Universitaria Professionale della Svizzera Italiana (SUPSI)
  • Gillian R Hayes, University of California, Irvine
  • Mark Billinghurst, University of South Australia
  • Kenji Suzuki, University of Tsukuba
  • Roland Graf, University of Michigan

Description: Augmented and mixed reality technology is rapidly advancing, driven by innovations in display, sensing, and AI technologies. This evolution, particularly in the era of generative AI with large language and text-to-image models such as GPT and Stable Diffusion, has the potential not only to make it easier to create, but also to adapt and personalize, new content. Our workshop explores the pivotal role of augmented and mixed reality to shape a user's interactions with their physical surroundings. We aim to explore how inclusive future augmented realities can be designed, with increasing support for automation, such that environments can welcome users with different needs, emphasizing accessibility and inclusion through layers of augmentations. Our aim is not only to remove barriers by making accommodations, but also to create a sense of belonging by directly engaging users. Our workshop consists of three main activities: (1) Through brainstorming and discussion of examples provided by the workshop organizers and participants, we critically review the landscape of accessible and inclusive design and their vital role in augmented and mixed reality design. (2) Through rapid prototyping activities including bodystorming and low-fidelity, mixed-media prototypes, participants explore how augmented and mixed reality can transform physical space into a more personal place, enhancing accessibility and inclusion based on novel interface and interaction techniques that are desirable, but not necessarily technically feasible just yet. In the workshop, we plan to focus on physical space to facilitate rapid prototyping without technical constraints, but techniques developed in the workshop are likely applicable to immersive virtual environments as well. (3) Finally, we collaborate to outline a research agenda for designing future augmented realities that promote equal opportunities, benefiting diverse user populations. Our workshop inspires innovation in augmented and mixed reality, reshaping physical environments to be more accessible and inclusive through immersive design.

WS 26: Forms of Fraudulence in Human-Centered Design: Collective Strategies and Future Agenda for Qualitative HCI Research

Sun | 304A | In-person | one-day

Webpage: https://fraud-in-hci.github.io/


  • Aswati Panicker, Indiana University Bloomington
  • Novia Nurain, University of Michigan
  • Zaidat Ibrahim, Indiana University
  • Chun-Han (Ariel) Wang, University of California, Santa Cruz
  • Seung Wan Ha, University of California, Santa Cruz
  • Elizabeth Kaziunas, Indiana University Bloomington
  • Maria K Wolters, University of Edinburgh
  • Chia-Fang Chung, University of California, Santa Cruz

Description: New technical forms of deception – including AI deepfakes and unethical uses of ChatGTP – have gained attention in the wider research community and media. There has also been an increase in the coordinated social activities of bad actors posing as legitimate human research participants. People, for example, sign up for online HCI studies by misrepresenting their identities and experiences. This workshop explores what counts as “fraud” in the rapidly changing sociotechnical landscape of qualitative HCI research sites, and how might our community better understand (and strategically handle) new forms of fraudulence in human-centered design. Researchers across academia and industry are invited to participate in this discourse, share their personal experiences, explore potential strategies to combat fraudulence and reflect critically on the efficacies and shortcomings of such strategies. Outcomes of this workshop include working towards better guidelines, forming a community of researchers to support those impacted by fraudulence, and collaboratively defining a research agenda based on workshop discussions.

WS 27: Generative AI in User-Generated Content

Sun | 307B | Hybrid | one-day

Webpage: https://genai-in-ugc.github.io/


  • Yiqing Hua, Google
  • Shuo Niu, Clark University
  • Jie Cai, Pennsylvania State University
  • Lydia B Chilton, Columbia University
  • Hendrik Heuer, University of Bremen
  • Donghee Yvette Wohn, New Jersey Institute of Technology

Description: Generative AI (Gen-AI) is rapidly changing the landscape of User-Generated Content (UGC) on social media. AI tools for generating text, images, and videos, such as Large-Language Models (LLM), image generation AI, AI-powered video material tools, and deep fake technologies, are accelerating creators in obtaining content ideas, drafting outlines, and streamlining creative workflows. The capabilities of Gen-AI could introduce new opportunities to lower the bar and accelerate the pace of content creation for grassroots creators, thereby expanding the volume of AI-generated UGC on social media. However, we lack the necessary understanding of how the wide deployment of such technologies will impact the social media ecosystem. The introduction of Gen-AI can lead to both opportunities and potential challenges among different creator communities, requiring collaboration from both academia and industry. This workshop seeks to bring together experts working on relevant topics of Gen-AI and UGC, to roadmap research on important issues boldly and responsibly.

WS 28: Getting Back Together: HCI and Human Factors Joining Forces to Meet the AI Interaction Challenge

Sun | 323A | Hybrid | one-day

Webpage: https://hcihfetogether.wordpress.com/


  • Alyssa Iglar, University of Toronto
  • Auste Simkute, University of Edinburgh
  • Abigail Sellen, Microsoft Research
  • Mark Chignell, University of Toronto

Description: The Human Factors Society and ACM SIGCHI jointly organized the first CHI conference in 1983, but during the remainder of the 1980s, Human-Computer Interaction (HCI) and Human Factors Engineering (HFE) increasingly diverged. The focus of HCI shifted from exploring systems for routinized activities of trained personnel, to a more general use of technology. HCI became predominantly design-oriented, concentrating on usability and user experience, moving further from HFE principles. However, the rapid growth of Artificial Intelligence (AI) applications posed unique and urgent challenges that call for a reestablishment of the connection between the two disciplines. We argue that by working as a team, HCI and HFE could more effectively address AI-posed challenges. We invite HCI and HFE researchers to take part in a full-day interactive hybrid workshop. With this workshop, we aim to initiate a collaboration between HCI and HFE and set a clear plan forward for a more united future.

WS 29: Human Centered Evaluation and Auditing of Large Language Models

Sun | 323B | Hybrid | one-day

Webpage: https://heal-workshop.github.io/


  • Ziang Xiao, Johns Hopkins University
  • Wesley Hanwen Deng, Carnegie Mellon University
  • Michelle S. Lam, Stanford University
  • Motahhare Eslami, Carnegie Mellon University
  • Juho Kim, KAIST
  • Mina Lee, Microsoft Research
  • Q. Vera Liao, Microsoft Research

Description: The recent advancements in Large Language Models (LLMs) have significantly impacted numerous, and will impact more, real-world applications. However, these models also pose significant risks to individuals and society. To mitigate these issues and guide future model development, responsible evaluation and auditing of LLMs are essential. This workshop aims to address the current “evaluation crisis” in LLM research and practice by bringing together HCI and AI researchers and practitioners to rethink LLM evaluation and auditing from a human-centered perspective. The HEAL workshop will explore topics around understanding stakeholders’ needs and goals with evaluation and auditing LLMs, establishing human-centered evaluation and auditing methods, developing tools and resources to support these methods, building community and fostering collaboration. By soliciting papers, organizing invited keynote and panel, and facilitating group discussions, this workshop aims to develop a future research agenda for addressing the challenges in LLM evaluation and auditing.

WS 30: Human-Centered Explainable AI (HCXAI): Reloading Explainability in the Era of Large Language Models (LLMs)

Sun | 324 | Hybrid | one-day

Webpage: https://hcxai.jimdosite.com/


  • Upol Ehsan, Georgia Institute of Technology
  • Elizabeth A Watkins, Intel Labs
  • Philipp Wintersberger, University of Applied Sciences Upper Austria
  • Carina Manger, Technische Hochschule Ingolstadt
  • Sunnie S. Y. Kim, Princeton University
  • Niels van Berkel, Aalborg University
  • Andreas Riener, Technische Hochschule Ingolstadt
  • Mark O Riedl, Georgia Tech

Description: Human-centered XAI (HCXAI) advocates that algorithmic transparency alone is not sufficient for making AI explainable. Explainability of AI is more than just “opening” the black box — who opens it matters just as much, if not more, as the ways of opening it. In the era of Large Language Models (LLMs), is “opening the black box” still a realistic goal for XAI? In this fourth CHI workshop on Human-centered XAI (HCXAI), we build on the maturation through the previous three installments to craft the coming-of-age story of HCXAI in the era of Large Language Models (LLMs). We aim towards actionable interventions that recognize both affordances and pitfalls of XAI. The goal of the fourth installment is to question how XAI assumptions fare in the era of LLMs and examine how human-centered perspectives can be operationalized at the conceptual, methodological, and technical levels. Encouraging holistic (historical, sociological, and technical) approaches, we emphasize “operationalizing”. We seek actionable analysis frameworks, concrete design guidelines, transferable evaluation methods, and principles for accountability.

WS 31: Learning from Cycling: Discovering Lessons Learned from CyclingHCI

Sun | 319A | Hybrid | one-day

Webpage: https://exertiongameslab.org/workshops-events/chi-2024-cyclinghci


  • Andrii Matviienko, KTH Royal Institute of Technology
  • Mario Boot, University of Twente
  • Andreas Löcken, Technische Hochschule Ingolstadt
  • Bastian Pfleging, TU Bergakademie Freiberg
  • Markus Löchtefeld, Aalborg University
  • Tamara von Sawitzky, Technische Hochschule Ingolstadt
  • Gian-Luca Savino, University of St. Gallen
  • Miriam Sturdee, University of St Andrews
  • Josh Andres, The Australian National University
  • Kristy Elizabeth Boyer, University of Florida
  • Stephen Anthony Brewster, University of Glasgow
  • Florian ‘Floyd’ Mueller, Monash University

Description: Cycling plays an essential role in sustainable mobility, health, and socializing. This workshop aims to collect and discuss the lessons learned from Cycling Human-Computer Interaction (CyclingHCI). For this, we will gather researchers and experts in the field to discuss what we learned from designing, building, and evaluating CyclingHCI systems. We will start the workshop with three lessons learned from CyclingHCI defined by the organizers and their experience in the field, which include (1) a lack of theories, tools, and perspectives, (2) knowledge about designing for safety and inclusive cycling, and (3) evaluation methods and environments. Taken together, with this work, we aim to promote interactive technology to get more people cycling, profiting from the many associated benefits.

WS 32: LLMs as Research Tools: Applications and Evaluations in HCI Data Work

Sun | 317A | Hybrid | one-day

Webpage: https://sites.google.com/view/llmsindatawork/


  • Marianne Aubin Le Quere, Cornell University
  • Hope Schroeder, MIT
  • Casey Randazzo, Rutgers University
  • Jie Gao, Singapore University of Technology and Design
  • Ziv Epstein, MIT
  • Simon Tangi Perrault, Singapore University of Technology and Design
  • David Mimno, Cornell University
  • Louise Barkhuus, Rutgers University
  • Hanlin Li, University of Texas at Austin

Description: Large language models (LLMs) stand to reshape traditional methods of working with data. While LLMs unlock new and potentially useful ways of interfacing with data, their use in research processes requires methodological and critical evaluation. In this workshop, we seek to gather a community of HCI researchers interested in navigating the responsible integration of LLMs into data work: data collection, processing, and analysis. We aim to create an understanding of how LLMs are being used to work with data in HCI research, and document the early challenges and concerns that have arisen. Together, we will outline a research agenda on using LLMs as research tools to work with data by defining the open empirical and ethical evaluation questions and thus contribute to setting norms in the community. CHI is the ideal place to address these questions due to the methodologically diverse researcher attendees, the prevalence of HCI research on human interaction with new computing and data paradigms, and the community’s sense of ethics and care. Insights from this forum can contribute to other research communities grappling with related questions.

WS 33: Methods for Family-Centered Design: Bridging the Gap between Research and Practice

Sun | 305B | Hybrid | one-day

Webpage: https://sites.google.com/view/familycentereddesignchi2024


  • Bengisu Cagiltay, University of Wisconsin – Madison
  • Hui-Ru Ho, University of Wisconsin – Madison
  • Kaiwen Sun, University of Michigan
  • Zhaoyuan Su, University of California Irvine
  • Yuxing Wu, Indiana University
  • Olivia K. Richards, University of Michigan
  • Qiao Jin, University of Minnesota
  • Junnan Yu, The Hong Kong Polytechnic University
  • Jerry Alan Fails, Boise State University
  • Jason Yip, University of Washington
  • Jodi Forlizzi, Carnegie Mellon University

Description: Technology is pervasive in family life. Family-centered design can enable the creation of technological solutions that align with the diverse needs of and dynamics within families. Yet, designing meaningful interactive technologies that are useful for and desired by families remains a complex and evolving challenge. Furthermore, there are limited resources in the HCI community examining theoretical, methodological, and practical processes for designing and testing technology supporting family life (e.g., interactions among parents, children, siblings, older adults). This workshop aims to bridge this gap by bringing together researchers and practitioners from interdisciplinary areas to discuss practical approaches in applying effective methods, theories, and tools for designing technology for and with families. The main goal of this workshop is to collaborate on creating a knowledge base for family-centered design. The workshop will aim to provide valuable opportunities for researchers and practitioners to grow a community, exchange insights, and share best practices.

WS 34: Mobilizing Research and Regulatory Action on Dark Patterns and Deceptive Design Practices

Sun | 317B | Hybrid | one-day

Webpage: https://chi2024.darkpatternsresearchandimpact.com


  • Colin M. Gray, Indiana University
  • Johanna T. Gunawan, Northeastern University
  • René Schäfer, RWTH Aachen University
  • Nataliia Bielova, Inria Sophia Antipolis
  • Lorena Sanchez Chamorro, University of Luxembourg
  • Katie Seaborn, Tokyo Institute of Technology
  • Thomas Mildner, University of Bremen
  • Hauke Sandhaus, Cornell University

Description: Deceptive, manipulative, and coercive practices are deeply embedded in our digital experiences, impacting our ability to make informed choices and undermining our agency and autonomy. These design practices — collectively known as “dark patterns” or “deceptive patterns” — are increasingly under legal scrutiny and sanctions, largely due to the efforts of human-computer interaction scholars that have conducted pioneering research relating to dark patterns types, definitions, and harms. In this workshop, we continue building this scholarly community with a focus on organizing for action. Our aims include: (i) building capacity around specific research questions relating to methodologies for detection; (ii) characterization of harms; and (iii) creating effective countermeasures. Through the outcomes of the workshop, we will connect our scholarship to the legal, design, and regulatory communities to inform further legislative and legal action.

WS 35: Post-growth HCI: Co-Envisioning HCI Beyond Economic Growth

Sun | 306B | Hybrid | one-day

Webpage: https://sites.google.com/view/post-growthhci/home


  • Vishal Sharma, Georgia Institute of Technology
  • Anupriya Tuli, IIIT-Delhi
  • Asra Sakeen Wani, IIIT Delhi
  • Anjali Karol Mohan, Integrated Design
  • Bonnie Nardi, University of California Irvine
  • Marc Hassenzahl, University of Siegen
  • Morgan Vigil-Hayes, Northern Arizona University
  • Rikke Hagensby Jensen, Aalborg University
  • Shaowen Bardzell, Georgia Institute of Technology
  • Neha Kumar, Georgia Tech

Description: Human-Computer Interaction (HCI) makes a significant contribution to economic growth; it is crucial to the market success of digital technologies, including digital services, platforms, and devices, which drive the economic engine. Economic growth, however, has a number of social and environmental consequences. Some HCI researchers have problematized the field’s engagement with growth, suggesting the post-growth philosophy as an alternative. Post-growth focuses on improving the quality of life centered on cooperation, social solidarity, care, justice, sharing, localized development, and other values. Orienting to post-growth could be instrumental in leading the HCI community beyond growth politics by envisioning, designing, and implementing technologies toward building a more sustainable, just, and humane society. This workshop aims to bring together HCI researchers, designers, practitioners, educators, and students to critically reimagine ways to embrace post-growth in and through HCI.

WS 36: Sensemaking: What is it today?

Sun | 306A | In-person | one-day

Webpage: https://sites.google.com/view/chi2024-sensemaking-workshop/home


  • Daniel M. Russell, Stanford University
  • Laura Koesten, University of Vienna
  • Aniket Kittur, CMU
  • Nitesh Goyal, Google
  • Michael Xieyang Liu, Google

Description: Sensemaking is a common activity in the analysis of a large or complex amount of information. It has also been an active area of research for at least 25 years. Such an active area of HCI research over a quarter century asks fundamental questions about how do people come to understand difficult sets of information? How do they find the data? How do their sensemaking frames help (or hinder) their ability to understand? The information workplace is increasing dominated by high velocity, high volume, complex information streams. At the same time, understanding how sensemaking operates has become an urgent need in an era of increasingly unreliable news and information sources. While there has been a huge amount of work in this space, the research involved is scattered over a number of different domains with differing approaches. This workshop will focus on the most recent work in sensemaking, the activities, technologies and behaviors that people do when making sense of their complex information spaces. We will also attempt to synthesize sensemaking work over the past several years. In the second part of the workshop we will synthesize a cross- disciplinary view of how sensemaking works in people, along with the human behaviors, biases, proclivities, and technologies required to support it.

WS 37: The CHI’24 Workshop on the Future of Cognitive Personal Informatics

Sun | 318B | In-person | one-day

Webpage: https://brain-data-uon.gitlab.io/events/chi24-workshop.html


  • Max L Wilson, University of Nottingham
  • Jwan Shaban, University of Nottingham
  • Horia A. Maior, University of Nottingham
  • Christina Schneegass, TU Delft
  • Anna L Cox, University College London

Description: While Human-Computer Interaction (HCI) has contributed to demonstrating that physiological measures can be used to detect cognitive changes, engineering and machine learning will bring these to application in consumer wearable technology. For HCI, many open questions remain, such as: What happens when this becomes a cognitive form of personal informatics? What goals do we have for our daily cognitive activity? How should such a complex concept be conveyed to users to be useful in their everyday lives? How can we mitigate potential ethical concerns? This is different to designing BCI interactions; we are concerned with understanding how people will live with consumer neurotechnology. This workshop will directly address the future of Cognitive Personal Informatics (CPI), by bringing together design, BCI and physiological data, ethics, and personal informatics researchers to discuss and set the research agenda in this inevitable future.

WS 38: Theory of Mind in Human-AI Interaction

Sun | 303B | Hybrid | one-day

Webpage: https://theoryofmindinhaichi2024.wordpress.com


  • Qiaosi Wang, Georgia Institute of Technology
  • Sarah Walsh, Georgia Institute of Technology
  • Mei Si, Rensselaer Polytechnic Institute
  • Jeffrey Kephart, IBM Research
  • Justin D. Weisz, IBM Research AI
  • Ashok K. Goel, Georgia Institute of Technology

Description: Theory of Mind (ToM), humans’ capability of attributing mental states such as intentions, goals, emotions, and beliefs to ourselves and others, has become a concept of great interest in human-AI interaction research. Given the fundamental role of ToM in human social interactions, many researchers have been working on methods and techniques to equip AI with an equivalent of human ToM capability to build highly socially intelligent AI. Another line of research on ToM in human-AI interaction seeks to understand people’s tendency to attribute mental states such as blame, emotions, and intentions to AI, along with the role that AI should play in the interaction (e.g. as a tool, partner, teacher, facilitator, and more) to align with peoples’ expectations and mental models. The goal of this line of work is to distill human-centered design implications to support the development of increasingly advanced AI systems. Together, these two research perspectives on ToM form an emerging paradigm of “Mutual Theory of Mind (MToM)” in human-AI interaction, where both the human and the AI each possess the ToM capability. This workshop aims to bring together different research perspectives on ToM in human-AI interaction by engaging with researchers from various disciplines including AI, HCI, Cognitive Science, Psychology, Robotics, and more to synthesize existing research perspectives, techniques, and knowledge on ToM in human-AI interaction, as well as envisioning and setting a research agenda for MToM in human-AI interaction.

WS 39: With or Without Permission: Site-Specific Augmented Reality for Social Justice

Sun | 305A | Hybrid | half-day

Webpage: https://ar4socialjustice.org


  • Rafael M.L. Silva, University of Washington
  • Ana Maria Cardenas Gasca, University of California Santa Barbara
  • Joshua A Fisher, Ball State University
  • Erica Principe Cruz, Carnegie Mellon University
  • Cinthya Elizabeth Jauregui Henderson, Santa Clara University
  • Amy Lueck, Santa Clara University
  • Fannie Liu, JPMorgan Chase & Co
  • Andrés Monroy-Hernández, Princeton University
  • Kai Lukoff, Santa Clara University

Description: Movements for social change are often tied a particular locale. This makes augmented reality (AR), which changes how people perceive their surroundings, a promising technology for social justice. Site-specific AR empowers activists to re-tell the story of a place, with or without permission of its owner. It has been used to reveal hidden histories, reimagine problematic monuments, and celebrate minority cultures. However, challenges remain concerning technological ownership and accessibility, scalability, sustainability, and navigating collaborations with marginalized communities and across disciplinary boundaries. This half-day workshop at CHI 2024 will bring together an interdisciplinary group of activists, computer scientists, designers, media scholars, and more to identify opportunities and challenges across domains. To anchor the discussion, participants will each share one example of an artifact used in speculating, designing, and/or delivering site-specific AR experiences. This collection of artifacts will inaugurate an interactive database that can inspire a new wave of activists to leverage AR for social justice.

WS 40: Evaluating Interactive AI: Understanding and Controlling Placebo Effects in Human-AI Interaction

Sun | 303A | Hybrid | one-day

Webpage: https://www.hcilab.org/EvalAI/


  • Steeven Villa, LMU Munich
  • Robin Welsch, Aalto University
  • Alena Denisova, University of York
  • Thomas Kosch, HU Berlin

Description: In the medical field, patients often experience tangible benefits from treatments they expect will improve their condition, even if the treatment has no mechanism of effect. This phenomenon often obscuring scientific evaluation of human treatment is termed the “placebo effect.” Latest research in human-computer interaction has shown that using cutting-edge technologies similarly raises expectations of improvement, culminating in placebo effects that undermine evaluation efforts for user studies. This workshop delves into the role of placebo effects in human-computer interaction for cutting-edge technologies such as artificial intelligence, its influence as a confounding factor in user studies, and identifies methods that researchers can adopt to reduce its impact on study findings. By the end of this workshop, attendees will be equipped to incorporate placebo control measures in their experimental designs.