Adaptation Recognition

Experimental Investigation of Human Adaptation to Change in Agent’s Strategy through a Competitive Two-Player Game,

Kazunori Terada (Gifu University)
Seiji Yamada (NII/Sokendai)

We conducted an experimental investigation on human adaptation to change in an agent’s strategy through a competitive two-player game. Modeling the process of human adaptation to agents is important for designing intelligent interface agents and adaptive user interfaces that learn a user’s preferences and behavior strategy. However, few studies on human adaptation to such an agent have been done. We propose a human adaptation model for a two-player game. We prepared an on-line experimental system in which a participant and an agent play a repeated penny-matching game with a bonus round. We then conducted experiments in which different opponent agents (human or robot) change their strategy during the game. The experimental results indicated that, as expected, there is an adaptation phase when a human is confronted with a change in the opponent agent’s strategy, and adaptation is faster when a human is competing with robot than with another human.

Snapshot of penny-matching game with bonus round.
Snapshot of penny-matching game with bonus round.

Difference in adaptation speed depending on human  and robot opponent.
Difference in adaptation speed depending on human and robot opponent.

学会発表

  • Kazunori Terada, Seiji Yamada, Akira Ito: Experimental Investigation of Human Adaptation to Change in Agent’s Strategy through a Competitive Two-Player Game, In Proceedings of the 30th Annual CHI Conference on Human Factors in Computing Systems (CHI 2012), pp.2807-2810, Austin, USA (May 2012)
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