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Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework

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  • Ma, Xiaoyue
  • Huo, Yudi

Abstract

As a rapidly emerging generative AI chatbot, ChatGPT has garnered unprecedented global attention for its advanced AI-based text generation capabilities. However, the issue of ChatGPT acceptance requires further investigation. Prior studies on chatbot acceptance primarily focused on traditional technology acceptance models (TAMs) and did not consider the intelligence features of AI technology. Based on the AI device use acceptance (AIDUA) model and cognitive appraisal theory (CAT), this study proposed a research model to investigate the acceptance of ChatGPT. Participants with experience using ChatGPT were invited to take part in the survey. A total of 500 valid questionnaires were collected through the Credamo survey platform. Our findings reveal compelling associations: social influence, novelty value, and humanness positively correlate with performance expectations, while hedonic motivation, novelty value, and humanness negatively correlate with effort expectations. Both performance and effort expectations contribute to cognitive attitudes. Age, as a control variable, exhibits a significant negative impact on the willingness to reject ChatGPT. Notably, this study expands the current AIDUA framework within chatbot contexts by incorporating perspectives on novelty value, perceived humanness, and cognitive attitudes to examine chatbot acceptance. These insights offer practical implications for the design and development of AI-based chatbots, contributing to the evolving landscape of AI technology acceptance.

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  • Ma, Xiaoyue & Huo, Yudi, 2023. "Are users willing to embrace ChatGPT? Exploring the factors on the acceptance of chatbots from the perspective of AIDUA framework," Technology in Society, Elsevier, vol. 75(C).
    • Handle: RePEc:eee:teinso:v:75:y:2023:i:c:s0160791x23001677
    DOI: 10.1016/j.techsoc.2023.102362
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    as
    1. Santiago Melián-González & Desiderio Gutiérrez-Taño & Jacques Bulchand-Gidumal, 2021. "Predicting the intentions to use chatbots for travel and tourism," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(2), pages 192-210, January.
    2. Im, Subin & Bhat, Subodh & Lee, Yikuan, 2015. "Consumer perceptions of product creativity, coolness, value and attitude," Journal of Business Research, Elsevier, vol. 68(1), pages 166-172.
    3. Zhu, Yimin & Zhang, Jiemin & Wu, Jifei & Liu, Yingyue, 2022. "AI is better when I'm sure: The influence of certainty of needs on consumers' acceptance of AI chatbots," Journal of Business Research, Elsevier, vol. 150(C), pages 642-652.
    4. Li, Sixian & Peluso, Alessandro M. & Duan, Jinyun, 2023. "Why do we prefer humans to artificial intelligence in telemarketing? A mind perception explanation," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    5. Li, Meichan & Wang, Rui, 2023. "Chatbots in e-commerce: The effect of chatbot language style on customers’ continuance usage intention and attitude toward brand," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    6. Baabdullah, Abdullah M. & Alalwan, Ali Abdallah & Algharabat, Raed S. & Metri, Bhimaraya & Rana, Nripendra P., 2022. "Virtual agents and flow experience: An empirical examination of AI-powered chatbots," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    7. Eva A. M. van Dis & Johan Bollen & Willem Zuidema & Robert van Rooij & Claudi L. Bockting, 2023. "ChatGPT: five priorities for research," Nature, Nature, vol. 614(7947), pages 224-226, February.
    8. Fan, Hua & Gao, Wei & Han, Bing, 2023. "Are AI chatbots a cure-all? The relative effectiveness of chatbot ambidexterity in crafting hedonic and cognitive smart experiences," Journal of Business Research, Elsevier, vol. 156(C).
    9. Mengting Cheng & Xianmiao Li & Jicheng Xu, 2022. "Promoting Healthcare Workers’ Adoption Intention of Artificial-Intelligence-Assisted Diagnosis and Treatment: The Chain Mediation of Social Influence and Human–Computer Trust," IJERPH, MDPI, vol. 19(20), pages 1-19, October.
    10. Kull, Alexander J. & Romero, Marisabel & Monahan, Lisa, 2021. "How may I help you? Driving brand engagement through the warmth of an initial chatbot message," Journal of Business Research, Elsevier, vol. 135(C), pages 840-850.
    11. Balakrishnan, Janarthanan & Abed, Salma S. & Jones, Paul, 2022. "The role of meta-UTAUT factors, perceived anthropomorphism, perceived intelligence, and social self-efficacy in chatbot-based services?," Technological Forecasting and Social Change, Elsevier, vol. 180(C).
    12. Rese, Alexandra & Ganster, Lena & Baier, Daniel, 2020. "Chatbots in retailers’ customer communication: How to measure their acceptance?," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
    13. Xueming Luo & Siliang Tong & Zheng Fang & Zhe Qu, 2019. "Frontiers: Machines vs. Humans: The Impact of Artificial Intelligence Chatbot Disclosure on Customer Purchases," Marketing Science, INFORMS, vol. 38(6), pages 937-947, November.
    14. Chin-Lung Hsu & Judy Chuan-Chuan Lin, 2020. "Understanding continuance intention to use online to offline (O2O) apps," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(4), pages 883-897, December.
    15. Karjaluoto, Heikki & Shaikh, Aijaz A. & Saarijärvi, Hannu & Saraniemi, Saila, 2019. "How perceived value drives the use of mobile financial services apps," International Journal of Information Management, Elsevier, vol. 47(C), pages 252-261.
    16. Lee, Seunghyun & Ha, Sejin & Widdows, Richard, 2011. "Consumer responses to high-technology products: Product attributes, cognition, and emotions," Journal of Business Research, Elsevier, vol. 64(11), pages 1195-1200.
    17. Wang, Yawei & Kang, Qi & Zhou, Shoujiang & Dong, Yuanyuan & Liu, Junqi, 2022. "The impact of service robots in retail: Exploring the effect of novelty priming on consumer behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
    18. Chiu, Yi-Te & Zhu, Yu-Qian & Corbett, Jacqueline, 2021. "In the hearts and minds of employees: A model of pre-adoptive appraisal toward artificial intelligence in organizations," International Journal of Information Management, Elsevier, vol. 60(C).
    19. Chong, Terrence & Yu, Ting & Keeling, Debbie Isobel & de Ruyter, Ko, 2021. "AI-chatbots on the services frontline addressing the challenges and opportunities of agency," Journal of Retailing and Consumer Services, Elsevier, vol. 63(C).
    20. F. Ali & Q. Zhang & M.Z. Tauni & K. Shahzad, 2023. "Social Chatbot: My Friend in My Distress," Post-Print hal-04433885, HAL.
    21. He, Pan & Lovo, Stefania & Veronesi, Marcella, 2022. "Social networks and renewable energy technology adoption: Empirical evidence from biogas adoption in China," Energy Economics, Elsevier, vol. 106(C).
    22. 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).
    23. Foroughi, Behzad & Nhan, Pham Viet & Iranmanesh, Mohammad & Ghobakhloo, Morteza & Nilashi, Mehrbakhsh & Yadegaridehkordi, Elaheh, 2023. "Determinants of intention to use autonomous vehicles: Findings from PLS-SEM and ANFIS," Journal of Retailing and Consumer Services, Elsevier, vol. 70(C).
    24. Vanja Vitezić & Marko Perić, 2021. "Artificial intelligence acceptance in services: connecting with Generation Z," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 926-946, October.
    25. Hsu, Chin-Lung & Lin, Judy Chuan-Chuan, 2023. "Understanding the user satisfaction and loyalty of customer service chatbots," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    26. Adapa, Sujana & Fazal-e-Hasan, Syed Muhammad & Makam, Sathyaprakash Balaji & Azeem, Muhammad Masood & Mortimer, Gary, 2020. "Examining the antecedents and consequences of perceived shopping value through smart retail technology," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    27. Chen, Aihui & Lu, Yaobin & Wang, Bin, 2017. "Customers’ purchase decision-making process in social commerce: A social learning perspective," International Journal of Information Management, Elsevier, vol. 37(6), pages 627-638.
    28. Chiahui Yen & Ming-Chang Chiang, 2021. "Trust me, if you can: a study on the factors that influence consumers’ purchase intention triggered by chatbots based on brain image evidence and self-reported assessments," Behaviour and Information Technology, Taylor & Francis Journals, vol. 40(11), pages 1177-1194, August.
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