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Male, Female, or Robot?: Effects of Task Type and User Gender on Expected Gender of Chatbots
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태스크 특성 및 사용자 성별이 챗봇의 기대 성별에 미치는 효과에 관한 연구

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Type
Academic journal
Author
Journal
Korea Multimedia Society Journal of Korea Multimedia Society Vol.24 No.2 KCI Accredited Journals
Published
2021.2
Pages
320 - 327 (8page)

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Male, Female, or Robot?: Effects of Task Type and User Gender on Expected Gender of Chatbots
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Abstract· Keywords

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We aim to investigate the effects of task type and user gender on the expected gender of chatbots. We conducted an online study of 381 participants who selected the gender (female, male, or neutral) for chabots performing six different tasks. Our results indicate that users expect human- gendered chatbots for all tasks and that the expected gender of a chatbot is significantly different depending on the task type. Users expected chatting, counseling, healthcare and clerical work to be done by female chatbots; professional and customer service work were expected to be done by male chatbots. A tendency for participants to prefer chatbots of the same-gendered as themselves is revealed in several tasks for both male and female users. However, this homophily tendency is stronger for female users. We conclude by suggesting practical guidelines for designing chatbot services that reflect user expectations.
#Chatbot #Conversational Agent #Conversational User Interface

Contents

ABSTRACT
1. 서론
2. 문헌 연구
3. 연구 방법
4. 결과
5. 논의
6. 결론
REFERENCE

References (29)

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D. Byrne, G. L. Clore Jr, and P. Worchel, “Effect of Economic Similarity-Dissimilarity on Interpersonal Attraction,” Journal of Personality and Social psychology, Vol. 4, No. 2, pp. 220-224, 1966. google schola H. Candello, C. Pinhanez, and F. Figueiredo, “Typefaces and the Perception of Humanness in Natural Language Chatbots,” Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems, pp. 3476-3487, 2017. google schola A. Cowell, and M. Kay, “Manipulation of Nonverbal Interaction Style and Demographic Embodiment to Increase Anthropomorphic Computer Character Credibility,” International Journal of Human-Computer Studies, Vol. 62, No. 2, pp. 281-306, 2005. google schola F. Eyssel, and F. Hegel, “(S)he's Got the Look: Gender Stereotyping of Robots,” Journal of Applied Social Psychology, Vol. 42, No. 9, pp. 2213-2230, 2012. google schola J. Goetz, S. Kiesler, and A. Powers. “Matching Robot Appearance and Behavior to Tasks to Improve Human-Robot Cooperation,” The 12th IEEE International Workshop on Robot and Human Interactive Communication, 2003. Proceedings. ROMAN 2003, pp. 55-60, 2003. google schola

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