What is it about?
Humans often find minds in artifacts or anthropomorphize them. The field of Human-Agent Interaction (HAI) has explored principles of designing artifacts by leveraging such illusions. In contrast, researchers in cognitive science have targeted the mechanism of the internal subjective processes to develop computational models of human minds. Our study bridges these two domains. In other words, we examine whether human participants perceive mind-related attributes such as curiosity from the behaviors of the cognitive scientific models.
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Why is it important?
This research offers foundations for designing Human-Agent Interaction from the cognitive science perspective. This approach is especially important in the current era of AI-driven society. Adhering to fundamental psychological theories on human nature, such as the dual-process theory and the theory of optimal levels of intrinsic motivation, leads us to control highly advanced artificial intelligence.
Perspectives
The curiosity model used in this study has been extensively examined with the co-author over a long period. We are proud of its unique point, which integrates and implements psychological findings on curiosity within cognitive modeling. Moreover, this research provides the first concrete pathway for applying primitive cognitive models to the design of Human-Agent Interactions. I hope this study will attract wide readership and inspire researchers to explore further applications of the cognitive model.
Kazuma Nagashima
Shizuoka University
Read the Original
This page is a summary of: Traits Inference on Virtual Agents Driven by Cognitive Curiosity Models, November 2024, ACM (Association for Computing Machinery),
DOI: 10.1145/3687272.3688316.
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