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User Perceptions of Extraversion in Chatbots after Repeated Use

Authors:

Sarah Theres Völkel,

Ramona Schoedel,

Sven MayerAuthors Info & Claims

CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

Article No.: 253, Pages 1 - 18

https://doi.org/10.1145/3491102.3502058

Published: 29 April 2022 Publication History

Abstract

Whilst imbuing robots and voice assistants with personality has been found to positively impact user experience, little is known about user perceptions of personality in purely text-based chatbots. In a within-subjects study, we asked N=34 participants to interact with three chatbots with different levels of Extraversion (extraverted, average, introverted), each over the course of four days. We systematically varied the chatbots’ responses to manipulate Extraversion based on work in the psycholinguistics of human behaviour. Our results show that participants perceived the extraverted and average chatbots as such, whereas verbal cues transferred from human behaviour were insufficient to create an introverted chatbot. Whilst most participants preferred interacting with the extraverted chatbot, participants engaged significantly more with the introverted chatbot as indicated by the users’ average number of written words. We discuss implications for researchers and practitioners on how to design chatbot personalities that can adapt to user preferences.

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Cited By

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https://doi.org/10.3390/info15090579
Kovačević NHolz CGross MWampfler R(2024)The Personality Dimensions GPT-3 Expresses During Human-Chatbot InteractionsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596268:2(1-36)Online publication date: 15-May-2024
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Dregger ASeifermann MOberweis A(2024)Language Cues for Expressing Artificial Personality: A Systematic Literature Review for Conversational AgentsProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665559(1-17)Online publication date: 8-Jul-2024
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Index Terms

User Perceptions of Extraversion in Chatbots after Repeated Use
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI
    2. Interaction paradigms
      1. Natural language interfaces

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CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems

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ISBN:9781450391573

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Microsoft Research, USA
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University of Glasgow, UK
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University of Tokyo, Japan

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https://doi.org/10.3390/info15090579
Kovačević NHolz CGross MWampfler R(2024)The Personality Dimensions GPT-3 Expresses During Human-Chatbot InteractionsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596268:2(1-36)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659626
Dregger ASeifermann MOberweis A(2024)Language Cues for Expressing Artificial Personality: A Systematic Literature Review for Conversational AgentsProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665559(1-17)Online publication date: 8-Jul-2024
https://dl.acm.org/doi/10.1145/3640794.3665559
Kovacevic NBoschung THolz CGross MWampfler R(2024)Chatbots With Attitude: Enhancing Chatbot Interactions Through Dynamic Personality InfusionProceedings of the 6th ACM Conference on Conversational User Interfaces10.1145/3640794.3665543(1-16)Online publication date: 8-Jul-2024
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Wang JIvrissimtzis ILi ZShi L(2024)Enhancing User Experience in Chinese Initial Text Conversations with Personalised AI-Powered AssistantExtended Abstracts of the CHI Conference on Human Factors in Computing Systems10.1145/3613905.3651104(1-7)Online publication date: 11-May-2024
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Ha JJeon HHan DSeo JOh C(2024)CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language ModelsProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642472(1-24)Online publication date: 11-May-2024
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Nardelli ASgorbissa ARecchiuto C(2024)Personality- and Memory-Based Software Framework for Human-Robot Interaction2024 IEEE International Conference on Robotics and Automation (ICRA)10.1109/ICRA57147.2024.10611168(17388-17394)Online publication date: 13-May-2024
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Amin Kuhail MBahja MAl-Shamaileh OThomas JAlkazemi ANegreiros J(2024)Assessing the Impact of Chatbot-Human Personality Congruence on User Behavior: A Chatbot-Based Advising System CaseIEEE Access10.1109/ACCESS.2024.340297712(71761-71782)Online publication date: 2024
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Thierfelder BPapadopoulos PWeinberger ADemetriadis STegos S(2024)Adverse effects of intelligent support of CSCL—the ethics of conversational agentsEthics in Online AI-based Systems10.1016/B978-0-443-18851-0.00015-9(3-23)Online publication date: 2024
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Cox SLee YOoi W(2023)Comparing How a Chatbot References User Utterances from Previous Chatting Sessions: An Investigation of Users' Privacy Concerns and PerceptionsProceedings of the 11th International Conference on Human-Agent Interaction10.1145/3623809.3623875(105-114)Online publication date: 4-Dec-2023
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