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Visual femininity and masculinity in synthetic characters and patterns of affect

Gulz, Agneta LU ; Ahlnér, Felix and Haake, Magnus LU (2007) The 2:nd International Conference on Affective Computing and Intelligent Interaction (ACII 2007) In Lecture Notes in Computer Science (Affective Computing and Intelligent Interaction) 4738/2007. p.654-665
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
Lecture Notes in Computer Science (Affective Computing and Intelligent Interaction)
editor
Paiva, Ana; Prada, Rui; Picard, Rosalind; ; and
volume
4738/2007
pages
654 - 665
publisher
Springer
conference name
The 2:nd International Conference on Affective Computing and Intelligent Interaction (ACII 2007)
external identifiers
  • wos:000250933300057
  • scopus:38049061540
ISSN
0302-9743
1611-3349
ISBN
978-3-540-74888-5
DOI
10.1007/978-3-540-74889-2_57
language
English
LU publication?
yes
id
175af2d9-a154-454c-85e8-1bdcca8d7175 (old id 629720)
alternative location
http://www.springerlink.com
date added to LUP
2007-11-27 13:24:47
date last changed
2017-06-04 03:29:25
@inproceedings{175af2d9-a154-454c-85e8-1bdcca8d7175,
  abstract     = {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<br/><br>
whether a parallel pattern of affectively colored evaluations can be elicited when femininity and masculinity are manipulated via visual cues instead of via<br/><br>
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.},
  author       = {Gulz, Agneta and Ahlnér, Felix and Haake, Magnus},
  booktitle    = {Lecture Notes in Computer Science (Affective Computing and Intelligent Interaction)},
  editor       = {Paiva, Ana and Prada, Rui and Picard, Rosalind},
  isbn         = {978-3-540-74888-5},
  issn         = {0302-9743},
  language     = {eng},
  pages        = {654--665},
  publisher    = {Springer},
  title        = {Visual femininity and masculinity in synthetic characters and patterns of affect},
  url          = {http://dx.doi.org/10.1007/978-3-540-74889-2_57},
  volume       = {4738/2007},
  year         = {2007},
}