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.
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.
| 1. Workshop on Computational User Models for Work (Details) | https://user-models-for-work.github.io/ |
| 2. Augmenting Legal Work: Artificial Intelligence in Professional Practice (Details) | https://chiworklegal.blogs.bristol.ac.uk/ |
| 3. Human Agency and Skill in AI-Supported Work: Countering Cognitive Offloading (Details) | https://agency-and-skill.github.io/ |
| 4. TimelyAI: When Should Generative AI Assistants Intervene? (Details) | https://timelyai.site/ |
| 5. Science Communication for Translating Research on Human–Computer Interaction at Work into Organizational Practice (Details) | https://silvana-weber.de |
| 6. Trust and Transparency in XAI for Workplace Automation: Guiding Industry Decisions on Process Automation (Details) | https://chiwork-xai-workshop.abacusai.app |
| 7. Interrogating GenAI Augmentation for CHIworkers: Strategies for Professional Autonomy and Accountability (Details) | https://chiwork-ai.hauke.haus |
| 8. Recognizing, Supporting, and Futuring Diverse Pathways in Computing Work (Details) | https://computing-pathways-workshop.netlify.app/ |
W1: Workshop on Computational User Models for Work
Time: 9:00 – 13:00
Location: TBD
Webpage: https://user-models-for-work.github.io/
Organizers: Martin Lorenz (ScaDS.AI, Leipzig University), Philipp Wintersberger (Interdisciplinary Transformation University, Linz), Helena Anna Frijns (Interdisciplinary Transformation University, Linz), Leopold Böss (Interdisciplinary Transformation University, Linz), Alexander Lingler (Interdisciplinary Transformation University, Linz), Patrick Ebel (Hasso Plattner Institute, Potsdam)
Abstract: Computational models of human behavior have shown promise in informing design of interactive systems that align with users’ needs. Computational user models have potential to better anticipate and adapt systems to user needs and preferences, and are explicit about their assumptions regarding human behavior. This workshop will focus on how such models are relevant for work contexts. In order to develop a shared understanding of such models and their applications, and to build a community around these topics, the workshop will feature a tutorial on user models, breakout discussions, taxonomy building and paper writing activities.
W2: Augmenting Legal Work: Artificial Intelligence in Professional Practice
Time: 9:00 – 13:00
Location: TBD
Webpage: https://chiworklegal.blogs.bristol.ac.uk/
Organizers: Felicity Bell (University of New South Wales), Eike Schneiders (University of Southampton), Václav Janeček (University of Bristol), Dirk Hartung (Singapore Management University), Erin T. Solovey (Worcester Polytechnic Institute), Niels van Berkel (Aalborg University), Benjamin Tag, (University of New South Wales)
Abstract: As legal professionals increasingly incorporate artificial intelligence into their daily work, established professional norms of reasoning, expertise, and ethical behaviour are being challenged. Generative AI (GenAI) tools are being rapidly adopted by legal professionals across many jurisdictions. Although these technologies offer significant potential benefits, concerns persist that they may degrade professional skills. Misuse also poses risks to legal professionalism and to the broader justice system. This workshop brings together legal professionals, researchers, and experts in AI and computing to discuss how GenAI tools may be designed so legal professionals develop skills to productively use artificial intelligence; and how we might guard against deskilling and cognitive offloading in high-stakes work. Our workshop will enable researchers working in this emerging yet contentious area to share findings, receive feedback, and propose new research and design ideas, contributing to a shared research agenda for future work on augmented legal practice.
W3: Human Agency and Skill in AI-Supported Work: Countering Cognitive Offloading
Time: 9:00 – 13:00
Location: TBD
Webpage: https://agency-and-skill.github.io/
Organizers: Caterina Fregosi (University of Milano-Bicocca), Simon WS Fischer (Donders Institute for Brain, Cognition, and Behaviour), Chiara Natali (VU Amsterdam), Hanna Schraffenberger (Radboud University), Federico Cabitza (University of Milano-Bicocca and Digital Health & Wellbeing Centre at Fondazione Bruno Kessler)
Abstract: This workshop responds to the observation that, in work contexts, AI systems may promote unintended socio-cognitive consequences, including automation bias, overreliance, reduced critical engagement and sense of agency, and gradual deskilling. It reframes cognitive offloading as a design challenge and proposes a longitudinal perspective on AI-supported work across three time horizons: short, medium, and long term, and three dimensions: performance, agency, and skills. Through structured collaborative activities, participants will identify benefits, risks, protective factors, design strategies, and evaluation measures. The workshop aims to develop a shared vocabulary and a capability-aware research agenda that foregrounds human agency and skill sustainability in AI design.
W4: TimelyAI: When Should Generative AI Assistants Intervene?
Time: 9:00 – 13:00
Location: TBD
Webpage: https://timelyai.site/
Organizers: Yihang Zhao (King’s College London), Qing Xia (University College London), Amy Rechkemmer (King’s College London), Yiwen Xing (University of Oxford), Lise Stork (University of Amsterdam), Albert Meroño-Peñuela (King’s College London), Mark Whiting (Pareto & University of Pennsylvania), Advait Sarkar (Microsoft Research & University of Cambridge & University College London), Duncan P. Brumby (University College London), Elena Simperl (King’s College London)
Abstract: “When should Generative AI (GenAI) assistants intervene at all?” While current GenAI assistants in knowledge work primarily operate reactively, responding only when users initiate an interaction, there is significant potential for these assistants to proactively assist in tasks. To tap into the potential of proactive GenAI assistants, it is important to examine when interventions are useful, when they are harmful, and how such judgements can be made reliably. The goal of this workshop, TimelyAI, at CHIWORK 2026 is to bring together Human-Computer Interaction (HCI) researchers interested in AI, psychological science, and social science to examine the timing of GenAI intervention in knowledge work and establish a shared research agenda.
W5: Science Communication for Translating Research on Human–Computer Interaction at Work into Organizational Practice
Time: 14:30 – 18:30
Location: TBD
Webpage: https://silvana-weber.de
Organizers: Silvana Weber (University of Würzburg & LMU München), Franziska Schrade (LMU München)
Abstract: Research on human–computer interaction (HCI) in workplace contexts is expanding rapidly, yet only a fraction of these insights reaches organizational and political stakeholders in accessible and actionable ways. At the same time, universities face rising expectations to demonstrate societal impact, making effective science communication a core academic responsibility rather than an optional add on. This half day interactive workshop addresses the persistent translational gap between empirical HCI research and real world decision-making, where vendor narratives, managerial trends, or media discourse often overshadow evidence-based insights. The workshop introduces key principles of science communication and illustrates best practice examples from workplace HCI. Participants will diagnose common barriers that hinder research uptake, identify and refine target audiences using persona methods, and translate their own findings into clear, audience oriented messages. Building on these foundations, they will develop a tailored dissemination concept for stakeholders such as policymakers, managers, works councils, HR leaders, consultants, or employees. Through a combination of theoretical input, case analysis, hands on concept development, and structured peer feedback, participants will leave the session with a concrete communication strategy for their research. The workshop ultimately aims to strengthen the societal and organizational impact of HCI scholarship by equipping researchers with practical, scalable science communication competencies.
W6: Trust and Transparency in XAI for Workplace Automation: Guiding Industry Decisions on Process Automation
Time: 14:30 – 18:30
Location: TBD
Webpage: https://chiwork-xai-workshop.abacusai.app
Organizers: Nina Hubig (Interdisciplinary Transformation University Austria), Daniel Kolb (Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities), Romeo Kienzler (IBM Research Zurich)
Abstract: As organizations increasingly adopt artificial intelligence for workplace automation, critical questions emerge about where and how to automate processes responsibly. This half-day workshop addresses the intersection of Explainable AI (XAI), trust, and transparency in workplace automation contexts. We bring together researchers and industry practitioners to explore decision-making frameworks that guide automation adoption while maintaining human oversight, regulatory compliance, and worker dignity. The workshop features presentations of cutting-edge research papers, keynote insights from industry leaders, and interactive sessions where participants collaboratively develop practical frameworks for assessing automation readiness. Expected outcomes include a published proceedings of research contributions, actionable decision frameworks for industry professionals, and establishing a community of practice bridging academic XAI research with real-world workplace automation challenges. This initiative directly addresses CHIWork 2026’s theme by examining the friction points and flow opportunities in AI-augmented work.
W7: Interrogating GenAI Augmentation for CHIworkers: Strategies for Professional Autonomy and Accountability
Time: 14:30 – 18:30
Location: TBD
Webpage: https://chiwork-ai.hauke.haus
Organizers: Hauke Sandhaus (Cornell Tech), Kashif Imteyaz (Northeastern University), Mohammed Almutairi (University of Notre Dame), Pooja Prajod (Centrum Wiskunde & Informatica), Divya Ramesh (University of North Carolina at Charlotte), Saiph Savage (Northeastern University), Qian Yang (Cornell University), Michael Muller (Independent Researcher)
Abstract: As Generative AI (GenAI) becomes deeply embedded in UX research, design, and software engineering, the HCI community faces a pressing challenge: balancing the acceleration of output with the risks of de-skilling, loss of flow state, and diminished accountability. The goal of this workshop is to move beyond simple AI disclosure statements to figure out how HCI professionals can maintain “deep work” and intellectual autonomy, rather than merely “scraping by” using AI outputs, and when full hand-off may be appropriate. Participants will be invited to bring concrete examples of AI-augmented workflows they consider responsible, or irresponsible, drawn from active practice. Through mapping real-world AI use and collaboratively brainstorming countermeasures, this hybrid workshop will bring together researchers and practitioners to define what ethical “co-thinking, co-creating and co-augmenting with AI” looks like. Ultimately, we aim to produce a shared repository of evolving responsible practices or a professional code of conduct, helping the community transition toward accountable, professional GenAI-augmented workflows.