Personality Synthesis on Information-Seeking Mobile Agents in a 2D Space

Whereas the past literature on automatic personality synthesis mostly used human-like cues such as synthetic voice, artificial face/head, and gestures, Lee et al. [13] proposed a personality synthesis model for non-humanoid, information seeking mobile agents, in which the migration behavior of the agents is exploited to exhibit their personality. Although they observed promising results from a subjective evaluation study, the study was conducted over only five arbitrary points in the four-dimensional continuous parameter space of their proposed model. This paper presents the results of our comprehensive evaluation of the model proposed by Lee et al.  [13]. In the evaluation, 81 systematically generated conditions were evaluated by 818 Japanese participants from a crowd-sourcing service. The analysis suggests that the model can exhibit at least four different personality types and three out of the four behavior parameters are relevant to the four types. From the analysis, we deduce a triad of rules that govern the relationship between the four parameters and the Big Five personality traits.