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CHI2026顶会

Branching Foresight - A Novel Interaction Concept for AI-generated Scenario Exploration

Jakob Carl Uhl, Marita Huber, Aysenur Gurel, Sophie Westfahl, Stefan Killian, Hannes Schweiger, Alexander Rind, Georg Regal, Manfred Tscheligi

2026年份
1被引次数

摘要

Climate anxiety often makes the future feel distant and overwhelming. We present Branching Foresight, a self-guided scenario tool that helps individuals explore climate futures through AI-generated scenarios framed as positive, neutral, and challenging trajectories. We position the system as a coping and reflective support tool, where each scenario is enriched with imagery, a conversational coach, and reflection cards. In a single-session study (N = 30), we measured climate transilience, climate-related emotions, creativity support, and user experience, complemented by telemetry and interviews. Results suggest within-subject pre-post improvements in transilience and reductions in negative emotions, with participants reporting strong creativity support and positive experience. As this evidence is single-session and non-comparative, it should be interpreted as initial indications of short-term change rather than superiority over alternative approaches. Qualitative feedback highlighted how the scenarios, imagery, and dialogue made climate futures more concrete and actionable. Our contributions are: (1) an interaction prototype for AI-mediated scenario exploration, (2) initial within-condition pre-post evidence of short-term improvements in perceived coping capacity and transilience during a self-guided session, and (3) design implications for creativity-supportive human-AI interaction in scenario planning.

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