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Can AI artifacts influence human cognition? : The effects of artificial autonomy in intelligent personal assistants

Author

Listed:
  • Qian Hu

    (EM - EMLyon Business School)

  • Yaobin Lu
  • Zhao Pan
  • Yeming Gong
  • Zhiling Yang

Abstract

In the era of the Internet of Things (IoT), emerging artificial intelligence (AI) technologies provide various artificial autonomy features that allow intelligent personal assistants (IPAs) to assist users in managing the dynamically expanding applications, devices, and services in their daily lives. However, limited academic research has been done to validate empirically artificial autonomy and its downstream consequences on human behavior. This study investigates the role of artificial autonomy by dividing it into three types of autonomy in terms of task primitives, namely, sensing, thought, and action autonomy. Drawing on mind perception theory, the authors hypothesize that the two fundamental dimensions of humanlike perceptions—competence and warmth—of non-human entities could explain the mechanism between artificial autonomy and IPA usage. Our results reveal that the comparative effects of competence and warmth perception exist when artificial autonomy contributes to users' continuance usage intention. Theoretically, this study increases our understanding of AI-enabled artificial autonomy in information systems research. These findings also provide insightful suggestions for practitioners regarding AI artifacts design.

Suggested Citation

  • Qian Hu & Yaobin Lu & Zhao Pan & Yeming Gong & Zhiling Yang, 2021. "Can AI artifacts influence human cognition? : The effects of artificial autonomy in intelligent personal assistants," Post-Print hal-03188233, HAL.
    • Handle: RePEc:hal:journl:hal-03188233
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    Citations

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    Cited by:

    1. Yi Sun & Shihui Li & Lingling Yu, 2022. "The dark sides of AI personal assistant: effects of service failure on user continuance intention," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 17-39, March.
    2. BERNSTEINER Reinhard & PLODER Christian & SPIESS Teresa & DILGER Thomas & HÖLLER Sonja, 2023. "Awareness of Unethical Artificial Intelligence and its Mitigation Measures," European Journal of Interdisciplinary Studies, Bucharest Economic Academy, issue 02, June.
    3. Xu, Ying & Niu, Nan & Zhao, Zixiang, 2023. "Dissecting the mixed effects of human-customer service chatbot interaction on customer satisfaction: An explanation from temporal and conversational cues," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    4. Kang, Weiyao & Shao, Bingjia, 2023. "The impact of voice assistants’ intelligent attributes on consumer well-being: Findings from PLS-SEM and fsQCA," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    5. Guo, Wenshan & Luo, Qiangqiang, 2023. "Investigating the impact of intelligent personal assistants on the purchase intentions of Generation Z consumers: The moderating role of brand credibility," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    6. Di Vaio, Assunta & Hassan, Rohail & Alavoine, Claude, 2022. "Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    7. Jain, Shilpi & Basu, Sriparna & Dwivedi, Yogesh K & Kaur, Sumeet, 2022. "Interactive voice assistants – Does brand credibility assuage privacy risks?," Journal of Business Research, Elsevier, vol. 139(C), pages 701-717.
    8. Hu, Qian & Pan, Zhao, 2023. "Can AI benefit individual resilience? The mediation roles of AI routinization and infusion," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    9. Gao, Wei & Jiang, Ning & Guo, Qingqing, 2023. "How do virtual streamers affect purchase intention in the live streaming context? A presence perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 73(C).
    10. Wu, Min & Wang, Nanxi & Yuen, Kum Fai, 2023. "Can autonomy level and anthropomorphic characteristics affect public acceptance and trust towards shared autonomous vehicles?," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    11. Chatterjee, Sheshadri & Rana, Nripendra P. & Dwivedi, Yogesh K. & Baabdullah, Abdullah M., 2021. "Understanding AI adoption in manufacturing and production firms using an integrated TAM-TOE model," Technological Forecasting and Social Change, Elsevier, vol. 170(C).

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