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In first encounters people quickly form impressions of each other's personality and interpersonal attitude. We conducted a study to investigate how this transfers to first encounters between humans and virtual agents. In the study, subjects' avatars approached greeting agents in a virtual museum rendered in both first and third person perspective. Each(More)
In realistic looking game environments it is important that virtual characters behave naturally. Our goal is to produce naturally looking gaze behavior for animated agents and avatars that are simply idling. We studied people standing and waiting, as well as people walking down a shopping street. From our observations we built a demo with the CADIA Populus(More)
In this paper we propose a computational model for the real time generation of nonverbal behaviors supporting the expression of in-terpersonal attitudes for turn-taking strategies and group formation in multi-party conversations among embodied conversational agents. Starting from the desired attitudes that an agent aims to express towards every other(More)
We present an empirical study that investigates whether the first impressions that users form of a virtual agent have an impact on attitudes and subsequent relational behavior. Subjects experienced brief approaches to several embodied agent guides in an immer-sive 3D virtual museum environment. Each guide exhibited two levels (low vs. high) of extraversion(More)
In greeting encounters, first impressions of personality and attitude are quickly formed and might determine important relational decisions, such as the likelihood and frequency of subsequent encounters. An anthropomorphic user interface is not immune to these judgments, specifically when exhibiting social interaction skills in public spaces. A favorable(More)
The SAIBA framework proposes two interface languages to represent separately an intelligent agent's communicative functions (or intents) and the multimodal behavior determining how the functions are accomplished with a particular multimodal realization. For the functional level, the Function Markup Language (FML) has been proposed. In this paper we(More)
We present a demonstration of the ARIA framework, a modular approach for rapid development of virtual humans for information retrieval that have linguistic, emotional, and social skills and a strong personality. We demonstrate the framework's capabilities in a scenario where `Alice in Wonderland', a popular English literature book, is embodied by(More)