skip to main content
10.1145/633292.633461acmconferencesArticle/Chapter ViewAbstractPublication PageschiConference Proceedingsconference-collections
Article
Free Access

Can computer-generated speech have gender?: an experimental test of gender stereotype

Published:01 April 2000Publication History

ABSTRACT

The present study examines if and how the "gender" of computer-generated speech affects the user's perception of the computer and their conformity to the computer's recommendation. Presented with a series of social-dilemma situations, participants made a decision after listening to the computer's argument for one of the two choices in a 2 (TTS gender: male vs. female) by 2 (participant gender: male vs. female) experiment. Consistent with gender stereotypes, the male-voiced computer exerted greater influence on the user's decision than the female-voiced computer and was perceived to be more socially attractive and trustworthy. More strikingly, gendered synthesized speech triggered social identification processes, such that female subjects conformed more to the female-voiced computer, while males conformed more to the male-voiced computer (controlling for the main effect). Similar identification effects were found on social attractiveness and trustworthiness of the computer.

References

  1. Nass, C.; Lee, K-M. 2000. Does computer-generated speech manifest personality? An experimental test of similarity-attraction. Proceedings of the CHI Conference, The Hague, Netherlands. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. Eagly, A. H. 1983. Gender and social influence: A social psychological analysis. American Psychologist, 38, 971-981Google ScholarGoogle ScholarCross RefCross Ref
  3. Nass, C.; Moon, Y.; and Green, C. 1997. Are machines gender-neutral? Gender-stereotypic responses to computers with voices. Journal of Applied Social Psychology, 27, 864-876.Google ScholarGoogle ScholarCross RefCross Ref
  4. M. W. Macon, Cronk, A. E.; Wouters, J.; Kain, A. 1997. "OGIresLPC: Diphone synthesizer using residual-excited linear prediction," Tech. Rep. CSE-97-007, Department of Computer Science, Oregon Graduate Institute of Science and Technology. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Reeves, B. and Nass, C. 1996. The Media Equation: How People Treat Computers, Television, and New Media Like Real People and Places. New York: Cambridge University Press. Google ScholarGoogle ScholarDigital LibraryDigital Library

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in
  • Published in

    cover image ACM Conferences
    CHI EA '00: CHI '00 Extended Abstracts on Human Factors in Computing Systems
    April 2000
    406 pages
    ISBN:1581132484
    DOI:10.1145/633292

    Copyright © 2000 ACM

    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 1 April 2000

    Permissions

    Request permissions about this article.

    Request Permissions

    Check for updates

    Qualifiers

    • Article

    Acceptance Rates

    Overall Acceptance Rate6,164of23,696submissions,26%

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader