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      Impact of Chatbot Gender on User’s Stereotypical Perception and Satisfaction


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      Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI)

      Human Computer Interaction Conference

      4 - 6 July 2018

      Chatbot, Gender Stereotyping, User Satisfaction



            There have been many studies that show how gender affects human perceptions of a conversational agent. However, there is limited research on the effect of gender when applied to a chatbot system. This paper presents early results from a research study which indicate that chatbot gender does have an effect on users overall satisfaction and gender-stereotypical perception. Subsequent studies could focus on further expanding the research by increasing the sample size to validate statistical significance further, as well as recruiting a more diverse sample size from various backgrounds and experiences.


            Author and article information

            July 2018
            July 2018
            : 1-5
            [0001]Institute of Art, Design and Technology

            Kill Avenue, Dun Laoghaire

            Kill Avenue, Dun Laoghaire
            © Baxter et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2018. Belfast, UK.

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Proceedings of the 32nd International BCS Human Computer Interaction Conference
            Belfast, UK
            4 - 6 July 2018
            Electronic Workshops in Computing (eWiC)
            Human Computer Interaction Conference
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Electronic Workshops in Computing


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