Cognitive Model of Trust Dynamics Predicts Human Behavior within and between Two Games of Strategic Interaction with Computerized Confederate Agents
- Air Force Research Laboratory, Dayton, OH (United States); Wayne State Univ., Detroit, MI (United States). Dept. of Psychology. Adaptive Strategic Thinking and Executive Control of Cognition and Affect
- Wayne State Univ., Detroit, MI (United States). Dept. of Psychology. Adaptive Strategic Thinking and Executive Control of Cognition and Affect
- Air Force Research Laboratory, Dayton, OH (United States)
When playing games of strategic interaction, such as iterated Prisoner’s Dilemma and iterated Chicken Game, people exhibit specific within-game learning (e.g., learning a game’s optimal outcome) as well as transfer of learning between games (e.g., a game’s optimal outcome occurring at a higher proportion when played after another game). The reciprocal trust players develop during the first game is thought to mediate transfer of learning effects. Recently, a computational cognitive model using a novel trust mechanism has been shown to account for human behavior in both games, including the transfer between games. We present the results of a study in which we evaluate the model’s a priori predictions of human learning and transfer in 16 different conditions. The model’s predictive validity is compared against five model variants that lacked a trust mechanism. The results suggest that a trust mechanism is necessary to explain human behavior across multiple conditions, even when a human plays against a non-human agent. The addition of a trust mechanism to the other learning mechanisms within the cognitive architecture, such as sequence learning, instance-based learning, and utility learning, leads to better prediction of the empirical data. It is argued that computational cognitive modeling is a useful tool for studying trust development, calibration, and repair.
- Research Organization:
- Oak Ridge Institute for Science and Education (ORISE), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science Division
- Grant/Contract Number:
- SC0014664
- OSTI ID:
- 1630033
- Journal Information:
- Frontiers in Psychology, Vol. 7; ISSN 1664-1078
- Publisher:
- Frontiers Research FoundationCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Predicting Human Cooperation
Adaptive Cognitive Mechanisms to Maintain Calibrated Trust and Reliance in Automation