A Scenario-Based Design Pack for Exploring Multimodal Human-GenAI Relations
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Authors
Andres, Josh
Danta, Chris
Bianchi, Andrea
Farzanfar, Sahar
Milena Fernandez-Nieto, Gloria
Becker, Alexa
Capel, Tara
Liddell, Frances
Hagemann, Shelby
Cooper, Ned
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Association for Computing Machinery (ACM)
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Abstract
Generative AI technologies are reshaping everyday environments by enabling multimodal interaction. As their ubiquity and agentic capacities grow, there is a pressing need to understand how these systems reshape human–computer interaction in relational, social, and systemic terms. We introduce a scenario-based design pack for investigating Human–GenAI relations. Grounded in assemblage theory and structured around a three-stage process—Prepare, Make, Reflect—the pack supports the prototyping, analysis, and critical reflection of emergent sociotechnical configurations. We evaluated the pack across three deployments: an ACM workshop (n=22), a multidisciplinary design session (n=20), and a university HCI class (n=260). Participants generated scenarios that surfaced relational issues of power, agency, visibility, and care. We contribute the design pack alongside an exploratory framework to advance relational enquiry into multimodal Human–GenAI relations, support more inclusive and socially responsive GenAI practices, and complement FATE approaches by grounding fairness, accountability, and transparency in lived, multimodal configurations.
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Book Title
Proceedings of the 27th International Conference on Multimodal Interaction (ICMI ’25), October 13–17, 2025, Canberra, ACT, Australia.
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Publication