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Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features

Author

Listed:
  • Ertugrul Uysal

    (University of Neuchâtel)

  • Sascha Alavi

    (University of Bochum)

  • Valéry Bezençon

    (University of Neuchâtel)

Abstract

Artificial intelligence assistants (AIAs) such as Alexa are prevalent in consumers’ homes. Owing to their powerful artificial intelligence, consumers may perceive that AIAs have a mind of their own, that is, they anthropomorphize them. Past marketing research points to beneficial effects of AIA anthropomorphism for consumers and companies, while potential harmful effects have not been empirically explored. In examining both beneficial and harmful effects, this paper adopts a relationship perspective. Indeed, consumers spend large amounts of time with their AIAs, potentially developing a relationship over time that builds on an exchange of benefits and (psychological) costs. A preliminary survey and user interviews, a field study and a field experiment with AIA users show that AIA anthropomorphism may threaten users’ identity, which disempowers them, creates data privacy concerns and ultimately undermines their well-being. These harmful effects particularly emerge in close, long relationships. The field experiment uncovers three empowering interventions which attenuate harmful effects of AIA anthropomorphism in relationships with consumers. With AI-powered technologies taking larger roles in our daily lives, our research highlights key future directions to investigate the permanent ongoing nature of the consumer–AI relationships.

Suggested Citation

  • Ertugrul Uysal & Sascha Alavi & Valéry Bezençon, 2022. "Trojan horse or useful helper? A relationship perspective on artificial intelligence assistants with humanlike features," Journal of the Academy of Marketing Science, Springer, vol. 50(6), pages 1153-1175, November.
  • Handle: RePEc:spr:joamsc:v:50:y:2022:i:6:d:10.1007_s11747-022-00856-9
    DOI: 10.1007/s11747-022-00856-9
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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Jonas Foehr & Claas Christian Germelmann, 2020. "Alexa, Can I Trust You? Exploring Consumer Paths to Trust in Smart Voice-Interaction Technologies," Journal of the Association for Consumer Research, University of Chicago Press, vol. 5(2), pages 181-205.
    3. Christian Hildebrand & Anouk Bergner, 2021. "Conversational robo advisors as surrogates of trust: onboarding experience, firm perception, and consumer financial decision making," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 659-676, July.
    4. Benlian, Alexander & Klumpe, Johannes & Hinz, Oliver, 2020. "Mitigating the Intrusive Effects of Smart Home Assistants by using Anthropomorphic Design Features: A Multi-Method Investigation," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 112151, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Nicolas Pfeuffer & Alexander Benlian & Henner Gimpel & Oliver Hinz, 2019. "Anthropomorphic Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 523-533, August.
    6. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    7. Nicolas Pfeuffer & Alexander Benlian & Henner Gimpel & Oliver Hinz, 2019. "Anthropomorphic Information Systems," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 523-533, August.
    8. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    9. Okazaki, Shintaro & Eisend, Martin & Plangger, Kirk & de Ruyter, Ko & Grewal, Dhruv, 2020. "Understanding the Strategic Consequences of Customer Privacy Concerns: A Meta-Analytic Review," Journal of Retailing, Elsevier, vol. 96(4), pages 458-473.
    10. Thomas P. Novak & Donna L. Hoffman, 2019. "Relationship journeys in the internet of things: a new framework for understanding interactions between consumers and smart objects," Journal of the Academy of Marketing Science, Springer, vol. 47(2), pages 216-237, March.
    11. Kelly D. Martin & Patrick E. Murphy, 2017. "The role of data privacy in marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 135-155, March.
    12. Olivero, Nadia & Lunt, Peter, 2004. "Privacy versus willingness to disclose in e-commerce exchanges: The effect of risk awareness on the relative role of trust and control," Journal of Economic Psychology, Elsevier, vol. 25(2), pages 243-262, April.
    13. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    14. Lena Steinhoff & Denni Arli & Scott Weaven & Irina V. Kozlenkova, 2019. "Online relationship marketing," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 369-393, May.
    15. Ruyter, Ko de & Isobel Keeling, Debbie & Ngo, Liem Viet, 2018. "When nothing is what it seems: A digital marketing research agenda," Australasian marketing journal, Elsevier, vol. 26(3), pages 199-203.
    16. Rijsdijk, S.A. & Hultink, E.J. & Diamantopoulos, A., 2007. "Product Intelligence: Its Conceptualization, Measurement and Impact on Consumer Satisfaction," ERIM Report Series Research in Management ERS-2007-006-ORG, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    17. Lobschat, Lara & Mueller, Benjamin & Eggers, Felix & Brandimarte, Laura & Diefenbach, Sarah & Kroschke, Mirja & Wirtz, Jochen, 2021. "Corporate digital responsibility," Journal of Business Research, Elsevier, vol. 122(C), pages 875-888.
    18. Golossenko, Artyom & Pillai, Kishore Gopalakrishna & Aroean, Lukman, 2020. "Seeing brands as humans: Development and validation of a brand anthropomorphism scale," International Journal of Research in Marketing, Elsevier, vol. 37(4), pages 737-755.
    19. Krafft, Manfred & Arden, Christine M. & Verhoef, Peter C., 2017. "Permission Marketing and Privacy Concerns — Why Do Customers (Not) Grant Permissions?," Journal of Interactive Marketing, Elsevier, vol. 39(C), pages 39-54.
    20. Sea-Jin Chang & Arjen van Witteloostuijn & Lorraine Eden, 2010. "From the Editors: Common method variance in international business research," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 41(2), pages 178-184, February.
    21. Sande, Jon Bingen & Ghosh, Mrinal, 2018. "Endogeneity in survey research," International Journal of Research in Marketing, Elsevier, vol. 35(2), pages 185-204.
    22. 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).
    23. Bleier, Alexander & Goldfarb, Avi & Tucker, Catherine, 2020. "Consumer privacy and the future of data-based innovation and marketing," International Journal of Research in Marketing, Elsevier, vol. 37(3), pages 466-480.
    24. Grewal, Dhruv & Kroschke, Mirja & Mende, Martin & Roggeveen, Anne L. & Scott, Maura L., 2020. "Frontline Cyborgs at Your Service: How Human Enhancement Technologies Affect Customer Experiences in Retail, Sales, and Service Settings," Journal of Interactive Marketing, Elsevier, vol. 51(C), pages 9-25.
    25. Markus Blut & Cheng Wang & Nancy V. Wünderlich & Christian Brock, 2021. "Understanding anthropomorphism in service provision: a meta-analysis of physical robots, chatbots, and other AI," Journal of the Academy of Marketing Science, Springer, vol. 49(4), pages 632-658, July.
    26. Plangger, Kirk & Montecchi, Matteo, 2020. "Thinking Beyond Privacy Calculus: Investigating Reactions to Customer Surveillance," Journal of Interactive Marketing, Elsevier, vol. 50(C), pages 32-44.
    27. 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.
    28. Sascha Alavi & Johannes Habel & Paolo Guenzi & Jan Wieseke, 2018. "The role of leadership in salespeople’s price negotiation behavior," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 703-724, July.
    29. Ming-Hui Huang & Roland T. Rust, 2021. "A strategic framework for artificial intelligence in marketing," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 30-50, January.
    30. Viswanath Venkatesh & Ritu Agarwal, 2006. "Turning Visitors into Customers: A Usability-Centric Perspective on Purchase Behavior in Electronic Channels," Management Science, INFORMS, vol. 52(3), pages 367-382, March.
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    Cited by:

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    2. Li, Huajun & Lei, Yueqiu & Zhou, Qi & Yuan, Hong, 2023. "Can you sense without being human? Comparing virtual and human influencers endorsement effectiveness," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
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    5. Chang, Yaping & Gao, Yajie & Zhu, Donghong & Safeer, Asif Ali, 2023. "Social robots: Partner or intruder in the home? The roles of self-construal, social support, and relationship intrusion in consumer preference," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    6. Li, Jian & Huang, Jinsong & Li, Yaqi, 2023. "Examining the effects of authenticity fit and association fit: A digital human avatar endorsement model," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).

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