A Categorization of Virtual Agent Appearances and a Qualitative Study on Age-Related User Preferences

Various variables influence the perception of appearance, which are difficult to examine holistically in a quantitative approach. To give a holistic overview of appearance variables, a systematic categorization of different dimensions was developed. This is also of special importance with a view to the application field of companions for seniors whose preferences regarding appearance are under-researched. Therefore, based on the categorization, 11 interviews with two different target groups (six students, five elderly) were conducted. Results indicate that seniors tend to prefer a realistic humanoid agent, while students mostly rejected this appearance and instead favored zoomorphic or machinelike agents in comic stylization. In sum, the current research gives a first hint that there are age-related differences with regard to appearance.

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