AHFE Open AccessConnecting with the Future Ecological Self through LLM Agents
Abstract
This study explores the potential of large language model (LLM) agents to bridge the psychological distance between individuals and their future ecological selves. We employed a pre- and post-test experimental design, supplemented by a pilot study (N=6) incorporating semi-structured interviews and topical analysis. Key findings from the pilot study revealed several key themes: textualized sensory memory, algorithmic alienation, place attachment, and moral reactance. Furthermore, future research on PEBI should shift from self-reported intentions to long-term behavioral assessments. This study provides feasible evidence for different possible self AI prototypes that promote pro-environment behavior, while highlighting design implications for associating authentic ecological identity with sensory-rich narratives and familiar place connections.
Keywords: Ecological Self, Possible Selves, LLM Agents
DOI: 10.54941/ahfe1007513
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