AI-Powered Episodic Future Thinking

• URL: http://arxiv.org/abs/2503.16484v1
• Date: Sat, 08 Mar 2025 01:10:04 GMT
• Title: AI-Powered Episodic Future Thinking
• Authors: Sareh Ahmadi, Michelle Rockwell, Megan Stuart, Allison Tegge, Xuan Wang, Jeffrey Stein, Edward A. Fox,
• Abstract summary: Episodic Future Thinking (EFT) is an intervention that involves vividly imagining personal future events and experiences in detail.<n>We present EFTeacher, an AI chatbots powered by the GPT-4-Turbo large language model, designed to generate EFT cues for users with lifestyle-related conditions.
• Score: 2.3539924479180288
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Episodic Future Thinking (EFT) is an intervention that involves vividly imagining personal future events and experiences in detail. It has shown promise as an intervention to reduce delay discounting - the tendency to devalue delayed rewards in favor of immediate gratification - and to promote behavior change in a range of maladaptive health behaviors. We present EFTeacher, an AI chatbot powered by the GPT-4-Turbo large language model, designed to generate EFT cues for users with lifestyle-related conditions. To evaluate the chatbot, we conducted a user study that included usability assessments and user evaluations based on content characteristics questionnaires, followed by semi-structured interviews. The study provides qualitative insights into participants' experiences and interactions with the chatbot and its usability. Our findings highlight the potential application of AI chatbots based on Large Language Models (LLMs) in EFT interventions, and offer design guidelines for future behavior-oriented applications.

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