人工智能的可爱特征对顾客持续使用意愿的影响
The Influence of the Cute Features of AI on Customers’ Continuous Usage Intention
摘要: 随着人工智能技术在旅游和酒店业中的广泛应用,由人工智能助手引发的服务失误也日益普遍,因此如何恢复这些失误亟待进行实证研究。本研究通过实验检验服务失败过程中人工智能助手的可爱特征对持续使用意愿的影响及其作用机制。通过对使用过酒店人工智能服务的人群进行问卷调查,在有效操控人工智能助手的可爱外形、可爱语音和可爱文字风格后,结果发现,在服务恢复过程中,人工智能助手的可爱特征能够提升人们的持续使用意愿。在语音、文字、语音加文字的不同交互方式下,作用机制表现为通过心理距离和信任的链式中介作用。结论:人工智能助手的可爱特征对服务失败后人们的持续使用意愿具有正向影响,其中心理距离和信任作为链式中介。
Abstract: With the widespread application of artificial intelligence technology in the tourism and hospitality industries, the service failure caused by artificial intelligence assistants is becoming increasingly widespread. Therefore, how to recover from these incidents deserves empirical research. This paper studies the influence of the cuteness level of artificial intelligence assistants on the continuous usage intention during service failures and its mechanism. Through a questionnaire survey of people who have experience using artificial intelligence services, it was found that effectively manipulating the cute level of appearance, voice, and textual style can enhance the artificial intelligence assistant’s ability to enhance people’s continuous usage intention during the service recovery process. Under different interaction methods such as appearance with voice, text, and voice plus text, the mechanism is manifested as a chain-mediated effect through psychological distance and trust. Conclusion: The cute features of artificial intelligence assistants have a positive impact on people’s continuous usage intention after service failures, with psychological distance and trust as the chain-mediated effect.
文章引用:郝哲理, 蒋多 (2026). 人工智能的可爱特征对顾客持续使用意愿的影响. 心理学进展, 16(1), 300-311. https://doi.org/10.12677/ap.2026.161037

参考文献

[1] Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25, 351-370.[CrossRef
[2] Borgi, M., Cogliati-Dezza, I., Brelsford, V., Meints, K., & Cirulli, F. (2014). Baby Schema in Human and Animal Faces Induces Cuteness Perception and Gaze Allocation in Children. Frontiers in Psychology, 5, Article ID: 411.[CrossRef] [PubMed]
[3] Cheng, Y., Qiu, L., & Pang, J. (2020). Effects of Avatar Cuteness on Users’ Perceptions of System Errors in Anthropomorphic Interfaces. In F. H. Nah, & K. Siau (Eds.), Lecture Notes in Computer Science (pp. 322-330). Springer International Publishing.[CrossRef
[4] Darke, P. R., Brady, M. K., Benedicktus, R. L., & Wilson, A. E. (2016). Feeling Close from Afar: The Role of Psychological Distance in Offsetting Distrust in Unfamiliar Online Retailers. Journal of Retailing, 92, 287-299.[CrossRef
[5] DeWitt, T., Nguyen, D. T., & Marshall, R. (2008). Exploring Customer Loyalty Following Service Recovery: The Mediating Effects of Trust and Emotions. Journal of Service Research, 10, 269-281.[CrossRef
[6] Flavián, C., Guinalíu, M., & Gurrea, R. (2006). The Role Played by Perceived Usability, Satisfaction and Consumer Trust on Website Loyalty. Information & Management, 43, 1-14.[CrossRef
[7] Frühholz, S., & Grandjean, D. (2013). Processing of Emotional Vocalizations in Bilateral Inferior Frontal Cortex. Neuroscience & Biobehavioral Reviews, 37, 2847-2855.[CrossRef] [PubMed]
[8] Glocker, M. L., Langleben, D. D., Ruparel, K., Loughead, J. W., Valdez, J. N., Griffin, M. D. et al. (2009). Baby Schema Modulates the Brain Reward System in Nulliparous Women. Proceedings of the National Academy of Sciences, 106, 9115-9119.[CrossRef] [PubMed]
[9] Harris, L. C. (2012). ‘Ripping off’ Tourists: An Empirical Evaluation of Tourists’ Perceptions and Service Worker (MIS)Behavior. Annals of Tourism Research, 39, 1070-1093.[CrossRef
[10] Hayes, A. F. (2013). Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach. Guilford Press.
[11] Hong, J., (Daniel) Lee, O., & Suh, W. (2013). A Study of the Continuous Usage Intention of Social Software in the Context of Instant Messaging. Online Information Review, 37, 692-710. [Google Scholar] [CrossRef
[12] Huang, D., Coghlan, A., & Jin, X. (2020). Understanding the Drivers of Airbnb Discontinuance. Annals of Tourism Research, 80, Article 102798.[CrossRef
[13] Huang, M., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21, 155-172.[CrossRef
[14] Keating, C. F., Randall, D. W., Kendrick, T., & Gutshall, K. A. (2003). Do Babyfaced Adults Receive More Help? The (Cross-Cultural) Case of the Lost Resume. Journal of Nonverbal Behavior, 27, 89-109.[CrossRef
[15] Klein, J., Moon, Y., & Picard, R. W. (2002). This Computer Responds to User Frustration: Theory, Design, and Results. Interacting with Computers, 14, 19-140.[CrossRef
[16] Kraus, M. W. (2017). Voice-Only Communication Enhances Empathic Accuracy. American Psychologist, 72, 644-654.[CrossRef] [PubMed]
[17] Li, X., & Sung, Y. (2021). Anthropomorphism Brings Us Closer: The Mediating Role of Psychological Distance in User-AI Assistant Interactions. Computers in Human Behavior, 118, Article 106680.[CrossRef
[18] Lv, X., Liu, Y., Luo, J., Liu, Y., & Li, C. (2021). Does a Cute Artificial Intelligence Assistant Soften the Blow? The Impact of Cuteness on Customer Tolerance of Assistant Service Failure. Annals of Tourism Research, 87, Article 103114.[CrossRef
[19] Nass, C. I., & Brave, S. (2005). Wired for Speech: How Voice Activates and Advances the Human-Computer Relationship. MIT Press.
[20] Nenkov, G. Y., & Scott, M. L. (2014). “So Cute I Could Eat It Up”: Priming Effects of Cute Products on Indulgent Consumption. Journal of Consumer Research, 41, 326-341.[CrossRef
[21] Newton, J. D., Wong, J., & Casidy, R. (2018). Deck the Halls with Boughs of Holly to Soften Evaluations of Service Failure. Journal of Service Research, 21, 389-404.[CrossRef
[22] Puntoni, S., Reczek, R. W., Giesler, M., & Botti, S. (2021). Consumers and Artificial Intelligence: An Experiential Perspective. Journal of Marketing, 85, 131-151.[CrossRef
[23] Ribbink, D., van Riel, A. C. R., Liljander, V., & Streukens, S. (2004). Comfort Your Online Customer: Quality, Trust and Loyalty on the Internet. Managing Service Quality: An International Journal, 14, 446-456.[CrossRef
[24] Riscinto Kozub, K., Anthony O’Neill, M., & A. Palmer, A. (2014). Emotional Antecedents and Outcomes of Service Recovery: An Exploratory Study in the Luxury Hotel Industry. Journal of Services Marketing, 28, 233-243.[CrossRef
[25] Robertson, N. (2012). Self‐Service Technology Complaint Channel Choice: Exploring Consumers’ Motives. Managing Service Quality: An International Journal, 22, 145-164.[CrossRef
[26] Sherman, G. D., Haidt, J., & Coan, J. A. (2009). Viewing Cute Images Increases Behavioral Carefulness. Emotion, 9, 282-286.[CrossRef] [PubMed]
[27] Shuqair, S., Pinto, D. C., & Mattila, A. S. (2019). Benefits of Authenticity: Post-Failure Loyalty in the Sharing Economy. Annals of Tourism Research, 78, Article 102741.[CrossRef
[28] Sweller, J., van Merriënboer, J. J. G., & Paas, F. (2019). Cognitive Architecture and Instructional Design: 20 Years Later. Educational Psychology Review, 31, 261-292.[CrossRef
[29] Trope, Y., & Liberman, N. (2010). Construal-Level Theory of Psychological Distance. Psychological Review, 117, 440-463.[CrossRef] [PubMed]
[30] Van Kleef, G. A. (2009). How Emotions Regulate Social Life: The Emotions as Social Information (EASI) Model. Current Directions in Psychological Science, 18, 184-188.[CrossRef
[31] Wang, T., Mukhopadhyay, A., & Patrick, V. M. (2017). Getting Consumers to Recycle Now! When and Why Cuteness Appeals Influence Prosocial and Sustainable Behavior. Journal of Public Policy & Marketing, 36, 269-283.[CrossRef
[32] Yampolskiy, R. V. (2019). Predicting Future AI Failures from Historic Examples. foresight, 21, 138-152.[CrossRef
[33] Zhu, Z., Nakata, C., Sivakumar, K., & Grewal, D. (2013). Fix It or Leave It? Customer Recovery from Self-Service Technology Failures. Journal of Retailing, 89, 15-29.[CrossRef