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
Abstract
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.
Ask about this paper
Ask your agent about it.
Lune has read the top-tier papers around this one, so every answer names the papers it rests on.
Your agent calls
Lunesearch_papers
Free to start. No credit card required.
Terminal
Install the CLIlune papers get f9d7a183-cf53-4f22-bbf2-67f610c36da6Related papers
- Letters from Future Self: Augmenting the Letter-Exchange Exercise with LLM-based Agents to Enhance Young Adults' Career ExplorationHayeon Jeon, Suhwoo Yoon, Keyeun Lee, SeoHyeong Kim et al.CHI 2025 · 29 citations
- Reminiscences of Futures (RoF): Designing and Studying Encounters with Embodied, AI-Generated Future SelvesJiwon Lee, Yewon Kim, Chang-Min Kim, Suhyun Lim et al.CHI 2026 · 2 citations
- Sketching vs. AI Prompt Based Design Intent Evolution in Undergraduate Students: an Exploratory StudyVanessa Sattele, Juan Carlos OrtizCHI 2026 · 1 citation
- "Housing Diversity Means Diverse Housing": Blending Generative AI into Speculative Design in Rural Co-Housing CommunitiesHongyi Tao, Dhaval VyasCHI 2025 · 7 citations
- Interpretive Cultures: Resonance, randomness, and negotiated meaning for AI-assisted tarot divinationMatthew Kieran Prock, Ziv Epstein, Hope Schroeder, Amy Smith et al.CHI 2026 · 1 citation
