IDEAS home Printed from https://ideas.repec.org/a/eee/tefoso/v196y2023ics0040162523005152.html
   My bibliography  Save this article

The future is now? Consumers' paradoxical expectations of human-like service robots

Author

Listed:
  • Zhu, Tengteng
  • Lin, Zhibin
  • Liu, Xin

Abstract

The increasing adoption of human-like intelligent robots in various services has raised significant social and ethical concerns about their future implications. This study investigates how consumers' perceptions of the future development of anthropomorphic features in service robots influence their expectations and acceptance of this emerging technology. Focusing on human-like appearance and mind, we utilize the expectancy-value theory to propose a conceptual framework that delves into consumers' paradoxical expectations. Through a survey of 486 participants, we examine how these perceptions, combined with levels of technology anxiety, shape psychological expectations and subsequently impact the willingness to adopt service robots. Our findings highlight that consumers' perceptions and anxiety levels predict paradoxical expectations, which in turn influence acceptance. This study contributes by introducing a novel framework, exploring the human-like mind in robot anthropomorphism, and addressing the intricate interplay between consumers' perceptions and service robots.

Suggested Citation

  • Zhu, Tengteng & Lin, Zhibin & Liu, Xin, 2023. "The future is now? Consumers' paradoxical expectations of human-like service robots," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    • Handle: RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523005152
    DOI: 10.1016/j.techfore.2023.122830
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0040162523005152
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techfore.2023.122830?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hair, Joe F. & Howard, Matt C. & Nitzl, Christian, 2020. "Assessing measurement model quality in PLS-SEM using confirmatory composite analysis," Journal of Business Research, Elsevier, vol. 109(C), pages 101-110.
    2. Meuter, Matthew L. & Ostrom, Amy L. & Bitner, Mary Jo & Roundtree, Robert, 2003. "The influence of technology anxiety on consumer use and experiences with self-service technologies," Journal of Business Research, Elsevier, vol. 56(11), pages 899-906, November.
    3. Du, Shuili & Xie, Chunyan, 2021. "Paradoxes of artificial intelligence in consumer markets: Ethical challenges and opportunities," Journal of Business Research, Elsevier, vol. 129(C), pages 961-974.
    4. Henkens, Bieke & Verleye, Katrien & Larivière, Bart, 2021. "The smarter, the better?! Customer well-being, engagement, and perceptions in smart service systems," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 425-447.
    5. Su, Lujun & Tang, Binli & Nawijn, Jeroen, 2021. "How tourism activity shapes travel experience sharing: Tourist well-being and social context," Annals of Tourism Research, Elsevier, vol. 91(C).
    6. Armstrong, J. Scott & Overton, Terry S., 1977. "Estimating Nonresponse Bias in Mail Surveys," MPRA Paper 81694, University Library of Munich, Germany.
    7. Pelau, Corina & Ene, Irina, 2018. "Consumers’ perception on human-like artificial intelligence devices," MPRA Paper 94617, University Library of Munich, Germany.
    8. Mariani, Marcello M. & Hashemi, Novin & Wirtz, Jochen, 2023. "Artificial intelligence empowered conversational agents: A systematic literature review and research agenda," Journal of Business Research, Elsevier, vol. 161(C).
    9. Ronan de Kervenoael & Rajibul Hasan & Alexandre Schwob & Edwin Goh, 2020. "Leveraging human-robot interaction in hospitality services: Incorporating the role of perceived value, empathy, and information sharing into visitors’ intentions to use social robots," Post-Print hal-02782265, HAL.
    10. Sara Kim & Rocky Peng Chen & Ke Zhang, 2016. "Anthropomorphized Helpers Undermine Autonomy and Enjoyment in Computer Games," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 43(2), pages 282-302.
    11. Khaliq, Abdul & Waqas, Ali & Nisar, Qasim Ali & Haider, Shahbaz & Asghar, Zunaina, 2022. "Application of AI and robotics in hospitality sector: A resource gain and resource loss perspective," Technology in Society, Elsevier, vol. 68(C).
    12. 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.
    13. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
    14. 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).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Vishwakarma, Laxmi Pandit & Singh, Rajesh Kr & Mishra, Ruchi & Demirkol, Denizhan & Daim, Tugrul, 2024. "The adoption of social robots in service operations: A comprehensive review," Technology in Society, Elsevier, vol. 76(C).
    2. Zhang, Yaqiong & Wang, Shifu, 2023. "The influence of anthropomorphic appearance of artificial intelligence products on consumer behavior and brand evaluation under different product types," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    3. Kang, Weiyao & Shao, Bingjia & Du, Shan & Chen, Hongquan & Zhang, Yong, 2024. "How to improve voice assistant evaluations: Understanding the role of attachment with a socio-technical systems perspective," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    4. Aubel Martin & Pikturniene Indre & Joye Yannick, 2022. "Risk Perception and Risk Behavior in Response to Service Robot Anthropomorphism in Banking," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(2), pages 26-42, June.
    5. Sarker, Moniruzzaman & Mohd-Any, Amrul Asraf & Kamarulzaman, Yusniza, 2021. "Validating a consumer-based service brand equity (CBSBE) model in the airline industry," Journal of Retailing and Consumer Services, Elsevier, vol. 59(C).
    6. Ibrahim Mutambik & Abdullah Almuqrin, 2024. "The Best of Both Worlds: How Financial Growth Can Engender Improved Sustainability for Businesses," Sustainability, MDPI, vol. 16(11), pages 1-23, June.
    7. Khaksar, Seyed Mohammad Sadegh & Shahmehr, Fatemeh S. & Miah, Shah & Daim, Tugrul & Ozdemir, Dilek, 2024. "Privacy concerns versus personalisation benefits in social robot acceptance by employees: A paradox theory — Contingency perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    8. Jung-Chieh Lee & Yuyin Tang & SiQi Jiang, 2023. "Understanding continuance intention of artificial intelligence (AI)-enabled mobile banking applications: an extension of AI characteristics to an expectation confirmation model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
    9. Kamoonpuri, Sana Zehra & Sengar, Anita, 2023. "Hi, May AI help you? An analysis of the barriers impeding the implementation and use of artificial intelligence-enabled virtual assistants in retail," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    10. Pramanik, Paritosh & Jana, Rabin K. & Ghosh, Indranil, 2024. "AI readiness enablers in developed and developing economies: Findings from the XGBoost regression and explainable AI framework," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
    11. van de Sanden, Stephanie & Willems, Kim & Brengman, Malaika, 2022. "How customers motive attributions impact intentions to use an interactive kiosk in-store," Journal of Retailing and Consumer Services, Elsevier, vol. 66(C).
    12. Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
    13. Mengjun Li & Ayoung Suh, 2022. "Anthropomorphism in AI-enabled technology: A literature review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2245-2275, December.
    14. Mari, Alex & Mandelli, Andreina & Algesheimer, René, 2024. "Empathic voice assistants: Enhancing consumer responses in voice commerce," Journal of Business Research, Elsevier, vol. 175(C).
    15. Yao, Qi & Hu, Chao & Zhou, Wenkai, 2024. "The impact of customer privacy concerns on service robot adoption intentions: A credence/experience service typology perspective," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    16. Mattila, Anna S. & Cho, Wonae & Ro, Heejung (Cheyenne), 2011. "The role of self-service technologies in restoring justice," Journal of Business Research, Elsevier, vol. 64(4), pages 348-355, April.
    17. Yuen, Kum Fai & Ng, Wei Hong & Wang, Xueqin, 2023. "Switching intention in the online crowdsourced delivery environment: The influence of a platform's technological characteristics and relational bonding strategies," Technology in Society, Elsevier, vol. 72(C).
    18. Janotta, Frederica & Hogreve, Jens, 2024. "Ready for take-off? The dual role of affective and cognitive evaluations in the adoption of Urban Air Mobility services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    19. Aubel Martin & Pikturniene Indre & Joye Yannick, 2022. "Risk Perception and Risk Behavior in Response to Service Robot Anthropomorphism in Banking," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(1), pages 26-42, June.
    20. Aw, Eugene Cheng-Xi & Tan, Garry Wei-Han & Cham, Tat-Huei & Raman, Ramakrishnan & Ooi, Keng-Boon, 2022. "Alexa, what's on my shopping list? Transforming customer experience with digital voice assistants," Technological Forecasting and Social Change, Elsevier, vol. 180(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:tefoso:v:196:y:2023:i:c:s0040162523005152. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.sciencedirect.com/science/journal/00401625 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.