The challenge of constructing psychologically believable agents
Embodied conversational agents (ECAs) are designed to provide a natural and intuitive communication with a human user. One current major topic in agent design consequently is to enhance their believability, often by means of incorporating internal models of emotions or motivations. As psychological theories often lack the necessary details for a direct implementation, many Agent modelers currently rely on models that are rather marginal in current psychological research, or models that are created ad hoc with little theoretical and empirical foundations. The goal of this article is both to raise psychologists’ awareness about central challenges in the process of creating psychologically believable agents, and to recommend existing psychological frameworks to the virtual agents community that seem particularly useful for an implementation in ECAs. Special attention is paid to a computationally detailed model of basic social motives that seems particularly useful for an implementation: the Zurich model of social motivation.