We present a new approach to improve the friendliness and warmth of a virtual agent in an AR environment by generating appropriate movement characteristics. Our algorithm is based on a novel data-driven friendliness model that is computed using a user-study and psychological characteristics. We investigated the perception of a user in an AR setting and observed that an FVA has a statistically significant improvement in the perceived friendliness and social presence of a user compared to an agent without the friendliness modeling.
FVA: Modeling Perceived Friendliness of Virtual Agents Using Movement Characteristics, Under Review.
Tanmay Randhavane, Aniket Bera, Kyra Kapsakis, Kurt Gray, and Dinesh Manocha