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Visual femininity and masculinity in synthetic characters and patterns of affect

Author

Editor

  • Ana Paiva
  • Rui Prada
  • Rosalind Picard

Summary, in 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.

Publishing year

2007

Language

English

Pages

654-665

Publication/Series

Lecture Notes in Computer Science (Affective Computing and Intelligent Interaction)

Volume

4738/2007

Document type

Conference paper

Publisher

Springer

Topic

  • Learning

Conference name

The 2:nd International Conference on Affective Computing and Intelligent Interaction (ACII 2007)

Conference date

2007-09-12 - 2007-09-14

Conference place

Lisbon, Portugal

Status

Published

ISBN/ISSN/Other

  • ISSN: 1611-3349
  • ISSN: 0302-9743
  • ISBN: 978-3-540-74888-5