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Humanizing voice assistant: The impact of voice assistant personality on consumers’ attitudes and behaviors

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  • Poushneh, Atieh

Abstract

A voice assistant (VA), a type of voice-enabled artificial intelligence, is no longer just a character in science fiction movies. Currently, voice is embedded in a variety of products such as smartphones (mobile applications) and smart speakers in consumers' homes. Furthermore, voice assistants are becoming integral to our daily lives. While human personalities shape the way we interact with the world, voice assistant personalities can also impact everyday interactions with our environment. This study identifies seven voice assistant personality traits (VAP) of three commonly used mobile applications: Microsoft's Cortana, Google's Assistant, and Amazon's Alexa. To examine the effect of VAP on consumer experience, this study applies and extends flow theory to uncover why VAP has the effects it has and what facets of VAP drive the voice interaction flow experience that can influence consumers' attitudes and behavioral intentions. Our study shows that voice interaction with a VA that incorporates functional intelligence, sincerity, and creativity empowers consumers to take control of their voice interactions with the VA, focus on their voice interaction, and engage in exploratory behavior. Consumers' exploratory behavior leads to consumer satisfaction and consumers' willingness to continue using voice assistant.

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  • Poushneh, Atieh, 2021. "Humanizing voice assistant: The impact of voice assistant personality on consumers’ attitudes and behaviors," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    • Handle: RePEc:eee:joreco:v:58:y:2021:i:c:s0969698920312911
    DOI: 10.1016/j.jretconser.2020.102283
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    1. Sung, Billy & Hartley, Nicole & Vanman, Eric & Phau, Ian, 2016. "How can the word “NEW†evoke consumers' experiences of novelty and interest?," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 166-173.
    2. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    3. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    4. Johnson, Clark D. & Bauer, Brittney C. & Singh, Nitish, 2020. "Exploring flow in the mobile interface context," Journal of Retailing and Consumer Services, Elsevier, vol. 53(C).
    5. Poddar, Amit & Donthu, Naveen & Wei, Yujie, 2009. "Web site customer orientations, Web site quality, and purchase intentions: The role of Web site personality," Journal of Business Research, Elsevier, vol. 62(4), pages 441-450, April.
    6. Wang, Liz C. & Hsiao, Daniel Fujen, 2012. "Antecedents of flow in retail store shopping," Journal of Retailing and Consumer Services, Elsevier, vol. 19(4), pages 381-389.
    7. van Noort, Guda & Voorveld, Hilde A.M. & van Reijmersdal, Eva A., 2012. "Interactivity in Brand Web Sites: Cognitive, Affective, and Behavioral Responses Explained by Consumers' Online Flow Experience," Journal of Interactive Marketing, Elsevier, vol. 26(4), pages 223-234.
    8. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    9. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    10. Namin, Aidin, 2017. "Revisiting customers' perception of service quality in fast food restaurants," Journal of Retailing and Consumer Services, Elsevier, vol. 34(C), pages 70-81.
    11. Pantano, Eleonora & Pizzi, Gabriele, 2020. "Forecasting artificial intelligence on online customer assistance: Evidence from chatbot patents analysis," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
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