Visual femininity and masculinity in synthetic characters and patterns of affect
(2007) The 2:nd International Conference on Affective Computing and Intelligent Interaction (ACII 2007) 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:
https://lup.lub.lu.se/record/629720
- author
- Gulz, Agneta LU ; Ahlnér, Felix and Haake, Magnus LU
- organization
- publishing date
- 2007
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- Lecture Notes in Computer Science (Affective Computing and Intelligent Interaction)
- editor
- Paiva, Ana ; Prada, Rui and Picard, Rosalind
- volume
- 4738/2007
- pages
- 654 - 665
- publisher
- Springer
- conference name
- The 2:nd International Conference on Affective Computing and Intelligent Interaction (ACII 2007)
- conference location
- Lisbon, Portugal
- conference dates
- 2007-09-12 - 2007-09-14
- 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
- 2016-04-01 11:36:04
- date last changed
- 2024-12-03 08:06:08
@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}},
doi = {{10.1007/978-3-540-74889-2_57}},
volume = {{4738/2007}},
year = {{2007}},
}