A categorization of virtual agent appearances and a qualitative study on age-related user preferences

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Abstract

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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Straßmann, C., & Krämer, N. C. (2017). A categorization of virtual agent appearances and a qualitative study on age-related user preferences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10498 LNAI, pp. 413–422). Springer Verlag. https://doi.org/10.1007/978-3-319-67401-8_51

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