IDEAS home Printed from https://ideas.repec.org/a/vrs/poicbe/v13y2019i1p707-716n63.html
   My bibliography  Save this article

Qualitative and quantitative Analysis of consumers perception regarding anthropomorphic AI designs

Author

Listed:
  • Ene Irina

    (Bucharest University of Economic Studies, Romania)

  • Pop Mihai-Ionuț

    (Bucharest University of Economic Studies, Romania)

  • Nistoreanu Bogdan

    (Bucharest University of Economic Studies, Romania)

Abstract

Business intelligence and analytics are nowadays being integrated into diverse industries, from healthcare to customer relationship management and behavioral profiling, due to the competitive advantages that they offer. Nevertheless, most companies try to integrate as many forms of business intelligence systems as possible into different internal processes. This overall digitization applied to more and more business departments is being analyzed with both curiosity and reluctance. The decision regarding the implementation of innovative forms of automation is taken in an attempt to discover and solve business challenges. However, there are several issues involved, which need to be addressed. One of the risks that are being discussed in the research environment refers to the level of acceptance of artificial intelligence systems. The tolerance and overall readiness of the consumers towards innovation and technology is one of the critical factors which need to be determined before implementing disruptive business intelligence systems. Moreover, in an effort to make devices friendlier to consumers, some developers chose to assign anthropomorphic appearances and even create individual identities for each artificial intelligence system. In this context, it is important for most companies investing in intelligent automation systems to determine to which extend the use of anthropomorphic designs impacts the customer’s perception. The objective of this research paper is to analyze the unconscious reaction of consumers towards two opposite designs of artificial intelligence systems: a robotic-like form and a human-like design. Based on this difference, a photo collage was created figuring two pictures: one with a metallic robot having a conversation with a human being and one with a robot with a strong anthropomorphic figure found in the same situation. For the analysis, an eye tracking device was used, in order to measure the point of gaze, the unconscious motion of the eyes, along with the time spent on each fixation and the order in which different elements were fixated upon by the respondents. As the eye-tracking device can generate data in various forms, this research includes both qualitative and quantitative analyses of the results, which confirm the same hypothesis, regarding the consumer’s preference towards artificial intelligence systems with robotic designs.

Suggested Citation

  • 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.
  • Handle: RePEc:vrs:poicbe:v:13:y:2019:i:1:p:707-716:n:63
    DOI: 10.2478/picbe-2019-0063
    as

    Download full text from publisher

    File URL: https://doi.org/10.2478/picbe-2019-0063
    Download Restriction: no

    File URL: https://libkey.io/10.2478/picbe-2019-0063?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
    ---><---

    References listed on IDEAS

    as
    1. Jensen, Michael C. & Meckling, William H., 1976. "Theory of the firm: Managerial behavior, agency costs and ownership structure," Journal of Financial Economics, Elsevier, vol. 3(4), pages 305-360, October.
    2. Joseph E. Stiglitz, 2014. "Unemployment and Innovation," NBER Working Papers 20670, National Bureau of Economic Research, Inc.
    3. Pelau, Corina & Ene, Irina, 2018. "Consumers’ perception on human-like artificial intelligence devices," MPRA Paper 94617, University Library of Munich, Germany.
    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. Mohammed T. Abusharbeh, 2024. "Technology-Profitability Paradox in Banking Sector: Evidence from Palestine," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(3), pages 14855-14873, September.
    2. Yeon‐Koo Che & Kathryn E. Spier, 2008. "Strategic judgment proofing," RAND Journal of Economics, RAND Corporation, vol. 39(4), pages 926-948, December.
    3. Hasan, Iftekhar & Lozano-Vivas, Ana, 2002. "Organizational Form and Expense Preference: Spanish Experience," Bulletin of Economic Research, Wiley Blackwell, vol. 54(2), pages 135-150, April.
    4. Fabbri, Daniela & Menichini, Anna Maria C., 2016. "The commitment problem of secured lending," Journal of Financial Economics, Elsevier, vol. 120(3), pages 561-584.
    5. Xueyan Dong & Jingyu Gao & Sunny Li Sun & Kangtao Ye, 2021. "Doing extreme by doing good," Asia Pacific Journal of Management, Springer, vol. 38(1), pages 291-315, March.
    6. Khémiri, Wafa & Noubbigh, Hédi, 2020. "Size-threshold effect in debt-firm performance nexus in the sub-Saharan region: A Panel Smooth Transition Regression approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 76(C), pages 335-344.
    7. Shaikh, Ibrahim A. & O'Brien, Jonathan Paul & Peters, Lois, 2018. "Inside directors and the underinvestment of financial slack towards R&D-intensity in high-technology firms," Journal of Business Research, Elsevier, vol. 82(C), pages 192-201.
    8. Calcagno, R. & Renneboog, L.D.R., 2004. "Capital Structure and Managerial Compensation : The Effects of Renumeration Seniority," Discussion Paper 2004-120, Tilburg University, Center for Economic Research.
    9. Preet Singh & Chitra Singla, 2016. "Executive Stock Options: Will it Work as a Good Governance Mechanism in all Scenarios?," Working Papers id:10985, eSocialSciences.
    10. Soufiane Mezzourh & Walid A Nakara, 2009. "Governance and innovation : A Knowledge-based approach [La gouvernance de l'innovation : une approche par la connaissance]," Post-Print halshs-01955966, HAL.
    11. N. K. Chidambaran & John Kose, 1998. "Relationship Investing: Large Shareholder Monitoring with Managerial Cooperation," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-044, New York University, Leonard N. Stern School of Business-.
    12. Adrian Gourlay & Jonathan Seaton, 2004. "The determinants of firm diversification in UK quoted companies," Applied Economics, Taylor & Francis Journals, vol. 36(18), pages 2059-2071.
    13. Tarek Roshdy Gebba & Mohamed Gamal Aboelmaged, 2016. "Corporate Governance of UAE Financial Institutions: A Comparative Study between Conventional and Islamic Banks," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 6(5), pages 1-7.
    14. Fereshteh Mahmoudian & Johnny Jermias, 2022. "The influence of governance structure on the relationship between pay ratio and environmental and social performance," Business Strategy and the Environment, Wiley Blackwell, vol. 31(7), pages 2992-3013, November.
    15. Rym Ayadi & Emrah Arbak & Willem Pieter De Groen, 2012. "Executive Compensation and Risk-taking in European Banking," Chapters, in: James R. Barth & Chen Lin & Clas Wihlborg (ed.), Research Handbook on International Banking and Governance, chapter 8, Edward Elgar Publishing.
    16. Peter-J. Jost, 2023. "Auditing versus monitoring and the role of commitment," Review of Accounting Studies, Springer, vol. 28(2), pages 463-496, June.
    17. Mara Del Baldo, 2012. "Corporate social responsibility and corporate governance in Italian SMEs: the experience of some “spirited businesses”," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 16(1), pages 1-36, February.
    18. Mark K. Fiegener, 2010. "Locus of Ownership and Family Involvement in Small Private Firms," Journal of Management Studies, Wiley Blackwell, vol. 47(2), pages 296-321, March.
    19. Fu, Fangjian & Lin, Leming & Officer, Micah S., 2013. "Acquisitions driven by stock overvaluation: Are they good deals?," Journal of Financial Economics, Elsevier, vol. 109(1), pages 24-39.
    20. Bozec, Richard, 2004. "L’analyse comparative de la performance entre les entreprises publiques et les entreprises privées : le problème de mesure et son impact sur les résultats," L'Actualité Economique, Société Canadienne de Science Economique, vol. 80(4), pages 619-654, Décembre.

    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:vrs:poicbe:v:13:y:2019:i:1:p:707-716:n:63. 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.