Reflecti-Mate: A Conversational Agent for Adaptive Decision-Making Support Through System 1 and System 2 Thinking
arXiv:2605.22509v1 Announce Type: cross 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'
The proliferation of advanced AI models has enabled the development of more sophisticated conversational agents capable of nuanced human interaction, making adaptive decision-making support a timely application.
This development represents a significant step towards AI agents acting as personalized cognitive assistants, enhancing individual productivity and decision quality across various high-stakes domains.
Decision-support systems will evolve from merely providing information to dynamically adapting to an individual's cognitive style, fostering integrated thinking rather than solely analytical approaches.
- · AI software developers
- · Consulting services
- · Personal productivity platforms
- · Individuals making complex decisions
- · One-size-fits-all decision support tools
- · Traditional cognitive psychology approaches
Widespread adoption of psychologically adaptive AI agents for personal and professional use.
Significant improvements in individual and organizational decision-making efficacy, potentially reducing biases and improving outcomes.
The blurring of lines between human intuition and AI-guided reasoning, leading to new models of human-computer collaboration and cognitive augmentation.
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