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Theses, dissertations and research publications (including journal articles, conference abstracts and books) from Lund University are collected in this database. Where possible, the option to download a full text document is available. It is also possible to search for Lund University student theses in the student theses database.
| Title | Visual femininity and masculinity in synthetic characters and patterns of affect |
| Author/s | Agneta Gulz, Magnus Haake, Felix Ahlner |
| Department/s |
Cognitive Science
|
| Full-text | Full text is not available in this archive |
| Alternative location (URL) | http://dx.doi.org/10.1007/978-... Restricted Access (Alternative Location) |
| Publication/Series | Lecture Notes in Computer Science |
| Publishing year | 2007 |
| Volume | 4738 |
| Pages | 654 - 665 |
| Document type | Conference |
| Conference name | Affective Computing and Intelligent Interaction, Second International Conference |
| Conference date | 2007-09-12/2007-09-14 |
| Conference location | Lisbon, Portugal |
| Status | published |
| Quality controlled | yes |
| Editor | Ana C.R. Paiva, Rui Prada, Rosalind W. Picard |
| Language | English |
| Publisher | Springer Berlin / Heidelberg |
| Abstract English | It has been shown that users of a digital system perceive a more ’masculine-sounding’ female voice as more persuasive and intelligent than a corresponding but more ’feminine-sounding’ female voice. Our study explores whether a parallel pattern of affectively colored evaluations can be elicited when femininity and masculinity are manipulated via visual cues instead of via voice. 80 participants encountered synthetic characters, visually manipulated in terms of femininity and masculinity but with voice, spoken content, linguistic style and role of characters held constant. Evaluations of the two female characters differed in accordance with stereotype predictions - with the exception of competence-related traits; for the two male characters evaluations differed very little. The pattern for male versus female characters was slightly in opposite to stereotype predictions. Possible explanations for these results are proposed. In conclusion we discuss the value of being aware of how different traits in synthetic characters may interact. |
| Subject |
Technology and Engineering |
| Keywords | affective interaction, HCI, affective tutoring, avatar, human-computer interaction, multi-agent simulation, social response, virtual reality |
| ISBN/ISSN/Other |
ISBN: 978-3-540-74888-5 |
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