TY - GEN
T1 - Asking for Help from a Gendered Robot
AU - Alexander, Emma
AU - Bank, Caroline
AU - Yang, Jie Jessica
AU - Hayes, Bradley
AU - Scassellati, Brian
N1 - Funding Information:
This work is supported by NSF grants 1139078 and 1117801, and Office of Naval Research grant #N00014-12-1-0822. We thank the anonymous reviewers for their helpful comments.
Publisher Copyright:
© 2014 Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014. All rights reserved.
PY - 2014
Y1 - 2014
N2 - This project investigates the effects of gender in a human-robot collaboration interaction. In the experiment, participants completed four Sudoku-like puzzles with a robot from which they could verbally elicit help. The robot was given the gendered characteristics of a gendered computer generated voice and either the name Charlotte (female condition) or Charley (male condition). Contrary to expectations from psychology, male participants asked the robot for help more frequently regardless of its assigned gender. Participants of both genders reported feeling more comfortable with a robot assigned the other gender and preferred the male robot's help. Findings indicate that gender effects can be generated in human-robot collaboration through relatively unobtrusive gendering methods and that they may not align with predictions from psychology.
AB - This project investigates the effects of gender in a human-robot collaboration interaction. In the experiment, participants completed four Sudoku-like puzzles with a robot from which they could verbally elicit help. The robot was given the gendered characteristics of a gendered computer generated voice and either the name Charlotte (female condition) or Charley (male condition). Contrary to expectations from psychology, male participants asked the robot for help more frequently regardless of its assigned gender. Participants of both genders reported feeling more comfortable with a robot assigned the other gender and preferred the male robot's help. Findings indicate that gender effects can be generated in human-robot collaboration through relatively unobtrusive gendering methods and that they may not align with predictions from psychology.
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M3 - Conference contribution
AN - SCOPUS:85050146572
T3 - Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
SP - 2333
EP - 2338
BT - Proceedings of the 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
PB - The Cognitive Science Society
T2 - 36th Annual Meeting of the Cognitive Science Society, CogSci 2014
Y2 - 23 July 2014 through 26 July 2014
ER -