IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/94617.html
   My bibliography  Save this paper

Consumers’ perception on human-like artificial intelligence devices

Author

Listed:
  • Pelau, Corina
  • Ene, Irina

Abstract

The presence of Artificial Intelligence in our everyday life has become one of the most debated topics nowadays. In opposition to the past, nowadays, in the age of broadband connectivity, it is difficult for individuals to imagine their everyday life, at work or in their spare time, without computers, internet, mobile applications or other devices. Most of these devices have had a contribution to the improvement of our everyday life by being more efficient and having a higher convenience. Few people are aware of the fact that, by continuously developing and improving these technologies, they might become more intelligent than we are and that they will have the potential to control us. In the attempt to make these devices friendlier to consumers, they have started to take human-like aspect and even having own identities. We have nowadays call center answering machines with names or robots with names and citizenship. The objective of this article is to determine the acceptance and preference of consumers for personalized or human-like robots or devices. For four different cases, the respondents had to choose between a classic device and a human-like robot. The results of the research show, with a high significance, that consumers still prefer the classic devices over anthropomorphic robots.

Suggested Citation

  • Pelau, Corina & Ene, Irina, 2018. "Consumers’ perception on human-like artificial intelligence devices," MPRA Paper 94617, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:94617
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/94617/1/MPRA_paper_94617.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Hengstler, Monika & Enkel, Ellen & Duelli, Selina, 2016. "Applied artificial intelligence and trust—The case of autonomous vehicles and medical assistance devices," Technological Forecasting and Social Change, Elsevier, vol. 105(C), pages 105-120.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Corina Pelau & Irina Ene & Mihai-Ionut Pop, 2021. "The Impact of Artificial Intelligence on Consumers’ Identity and Human Skills," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-33, February.
    2. Ene Irina & Pop Mihai-Ionuț & Nistoreanu Bogdan, 2019. "Qualitative and quantitative Analysis of consumers perception regarding anthropomorphic AI designs," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 707-716, May.
    3. Pelău Corina & Ene Irina, 2020. "Interaction Between Consumers and Emerging forms of Artificial Intelligence: A Discriminant Analysis," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 30(2), pages 1-12, June.
    4. Pelau Corina & Stanescu Mihaela & Serban Daniela, 2019. "Big-Data and Consumer Profiles – The hidden traps of data collection on social media networks," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 13(1), pages 1070-1078, May.
    5. 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).

    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. Erik Karger & Marvin Jagals & Frederik Ahlemann, 2021. "Blockchain for Smart Mobility—Literature Review and Future Research Agenda," Sustainability, MDPI, vol. 13(23), pages 1-32, November.
    2. Phan, Duong & Bab-Hadiashar, Alireza & Lai, Chow Yin & Crawford, Bryn & Hoseinnezhad, Reza & Jazar, Reza N. & Khayyam, Hamid, 2020. "Intelligent energy management system for conventional autonomous vehicles," Energy, Elsevier, vol. 191(C).
    3. 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).
    4. Schweitzer, Nicola & Hofmann, Rupert & Meinheit, Andreas, 2019. "Strategic customer foresight: From research to strategic decision-making using the example of highly automated vehicles," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 49-65.
    5. Martina Raue & Lisa A. D'Ambrosio & Carley Ward & Chaiwoo Lee & Claire Jacquillat & Joseph F. Coughlin, 2019. "The Influence of Feelings While Driving Regular Cars on the Perception and Acceptance of Self‐Driving Cars," Risk Analysis, John Wiley & Sons, vol. 39(2), pages 358-374, February.
    6. Skeete, Jean-Paul, 2018. "Level 5 autonomy: The new face of disruption in road transport," Technological Forecasting and Social Change, Elsevier, vol. 134(C), pages 22-34.
    7. Uzir, Md Uzir Hossain & Al Halbusi, Hussam & Lim, Rodney & Jerin, Ishraq & Abdul Hamid, Abu Bakar & Ramayah, Thurasamy & Haque, Ahasanul, 2021. "Applied Artificial Intelligence and user satisfaction: Smartwatch usage for healthcare in Bangladesh during COVID-19," Technology in Society, Elsevier, vol. 67(C).
    8. Corina Pelau & Irina Ene & Mihai-Ionut Pop, 2021. "The Impact of Artificial Intelligence on Consumers’ Identity and Human Skills," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 23(56), pages 1-33, February.
    9. Grinin, Leonid E. & Grinin, Anton L. & Korotayev, Andrey, 2017. "Forthcoming Kondratieff wave, Cybernetic Revolution, and global ageing," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 52-68.
    10. Devine, Anthony & Jabbar, Abdul & Kimmitt, Jonathan & Apostolidis, Chrysostomos, 2021. "Conceptualising a social business blockchain: The coexistence of social and economic logics," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    11. Haque, AKM Bahalul & Islam, A.K.M. Najmul & Mikalef, Patrick, 2023. "Explainable Artificial Intelligence (XAI) from a user perspective: A synthesis of prior literature and problematizing avenues for future research," Technological Forecasting and Social Change, Elsevier, vol. 186(PA).
    12. Huang, Dan & Jin, Xin & Coghlan, Alexandra, 2021. "Advances in consumer innovation resistance research: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 166(C).
    13. Nastjuk, Ilja & Herrenkind, Bernd & Marrone, Mauricio & Brendel, Alfred Benedikt & Kolbe, Lutz M., 2020. "What drives the acceptance of autonomous driving? An investigation of acceptance factors from an end-user's perspective," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    14. Xueling Li & Yujie Long & Meixi Fan & Yong Chen, 2022. "Drilling down artificial intelligence in entrepreneurial management: A bibliometric perspective," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 379-396, May.
    15. Brea, Edgar & Ford, Jerad A., 2023. "No silver bullet: Cognitive technology does not lead to novelty in all firms," Technovation, Elsevier, vol. 122(C).
    16. Liu, Peng & Ma, Yanjiao & Zuo, Yaqing, 2019. "Self-driving vehicles: Are people willing to trade risks for environmental benefits?," Transportation Research Part A: Policy and Practice, Elsevier, vol. 125(C), pages 139-149.
    17. Blume, Maximilian & Oberländer, Anna Maria & Röglinger, Maximilian & Rosemann, Michael & Wyrtki, Katrin, 2020. "Ex ante assessment of disruptive threats: Identifying relevant threats before one is disrupted," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    18. Liu, Peng & Xu, Zhigang & Zhao, Xiangmo, 2019. "Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 354-369.
    19. David Mhlanga, 2022. "Human-Centered Artificial Intelligence: The Superlative Approach to Achieve Sustainable Development Goals in the Fourth Industrial Revolution," Sustainability, MDPI, vol. 14(13), pages 1-22, June.
    20. Shamim, Saqib & Yang, Yumei & Ul Zia, Najam & Khan, Zaheer & Shariq, Syed Muhammad, 2023. "Mechanisms of cognitive trust development in artificial intelligence among front line employees: An empirical examination from a developing economy," Journal of Business Research, Elsevier, vol. 167(C).

    More about this item

    Keywords

    Artificial intelligence; robots; consumer; anthropomorphism; perception;
    All these keywords.

    JEL classification:

    • M0 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - General
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:pra:mprapa:94617. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.