EEGs as potential predictors of virtual agents’ acceptance

Abstract

Over the last decade, much effort has been made to develop robots and virtual agents acting as assistants of elderly people in order to support them in their daily activities. In this context users' acceptance of such virtual assistants is fundamental for engaging them in order to maximize the assistance's effectiveness and users' comfort. Therefore, improving assessment techniques for elders' acceptance of virtual agents is necessary for understanding the impressions they arouse and determining their design accordingly. This paper is a proposition to introduce an EEG emotion detection procedure to gain further insight in implementing effective virtual agents' acceptance.