Reflecti-Mate
A Conversational Agent for Adaptive Decision-Making Support Through System 1 and System 2 Thinking
Morita Tarvirdians (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Senthil Chandrasegaran (TU Delft - Industrial Design Engineering)
Hayley Hung (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Catholijn M. Jonker (TU Delft - Electrical Engineering, Mathematics and Computer Science, Universiteit Leiden)
Catharine Oertel (TU Delft - Electrical Engineering, Mathematics and Computer Science)
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Abstract
Making high-stakes personal decisions involves cognitive, emotional, and intuitive processes, and individuals differ in how they allocate attention across these modes. Integration of these processes has shown to benefit decision making. Yet, most current decision-support systems focus primarily on supporting cognitive aspects, rather than adapting to the individual's thinking profile to support integration of different types of thoughts. In this study, we investigate an agent designed to encourage integration by adapting to the individual user's thought patterns. We explore its effects on participants' perceptions of the agent and their reflective behavior, in comparison with unaided pre-reflection and a baseline agent. In a between-subjects study (N = 128), our agent, which fostered broad and elaborated thinking, enabled more personalized reflective trajectories, elicited more integrative reflective language, and was perceived as providing stronger support for holistic reflection. In contrast, the baseline agent produced homogenized profiles dominated by cognitive language across participants.
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