Navigating “Limerence”: Designing a Customized ChatGPT-Based Assistant System

Mei, Ko-Qin; Chen, Yu-Ju; Liu, Shih-Ta. (2025). Navigating "Limerence": Designing a Customized ChatGPT-Based Assistant System. HCI International 2025 Posters (HCII 2025), Gothenburg, Sweden.

作者:Ko-Qin Mei, Yu-Ju Chen, Shih-Ta Liu

摘要:In Psychology, “Limerence” is a one-sided emotional state characterized by obsessive focus on a limerence object (LO) and intense emotional fluctuations, often disrupting daily life and mental well-being, sharing similarities with obsessive-compulsive disorder and addiction. Adopting the Transtheoretical Model (TTM) as our theoretical foundation, we developed “Truth Tonic,” a Custom GPT designed to facilitate LLM-driven cognitive reappraisal, helping individuals detach from limerence and regain rationality. Truth Tonic has three core strategies: (1) using a direct and sharp tone to challenge entrenched thought patterns, (2) providing concise responses to avoid excessive elaboration on emotional distress, and (3) mimicking social media language to enhance engagement and trust. A post-experience survey (n = 112) evaluated user satisfaction and AI effectiveness; results indicate that most users found the system helpful in recognizing emotional patterns, gaining clarity, and engaging in meaningful interactions.

關鍵字:Limerence, ChatGPT, Large Language Model, Cognitive Reappraisal, Mental Health, Transtheoretical Model

原始論文 DOI: https://doi.org/10.1007/978-3-031-94162-7_16