孤獨感是嚴重影響青年身心健康的重要因素。運用生成式人工智慧(AI)聊天機器人提供社會支持與陪伴，可望成為緩解孤獨問題的創新解決方案。本研究基於「刺激-有機體-反應」(SOR)理論框架建構研究模型，探討AI聊天機器人的社會支持對孤獨感的影響機制。研究模型提出：社會支持能顯著提升使用者的陪伴感與社會臨場感，而擬人化程度與社會支持的交互作用會影響陪伴感與社會臨場感；此外，陪伴感和社會臨場感會增強人機和睦關係，進而降低孤獨感。本研究採用2×2受試者間實驗設計，實證分析不同社會支持類型（情感性/資訊性）與擬人化水平（高/低）對青年孤獨感的差異化影響，最終收集140位受試者數據以驗證模型之假說。

Loneliness is a critical factor that severely affects the physical and mental well-being of young adults. Utilizing generative AI chatbots to provide social support and companionship offers a promising innovative solution to mitigate loneliness. Guided by the Stimulus–Organism–Response (SOR) theoretical framework, this study develops a research model to examine the mechanisms through which social support from AI chatbots influences loneliness. The model proposes that social support significantly enhances users’ sense of companionship and social presence, and that the interaction between anthropomorphism and social support shapes these perceptions. Furthermore, companionship and social presence strengthen human–AI rapport, which in turn reduces loneliness. A 2×2 between-subjects experimental design was employed to empirically analyze the differential impacts of social support type (emotional vs. informational) and anthropomorphism level (high vs. low) on young adults’ loneliness. Data collected from 140 participants were used to validate the proposed hypotheses.

Alessa, A., & Al-Khalifa, H. (2023). Towards designing a ChatGPT conversational companion for elderly people. In Proceedings of the 16th International Conference on Pervasive Technologies Related to Assistive Environments (PETRA '23) (pp. 667-674). Association for Computing Machinery. https://doi.org/10.48550/arXiv.2304.09866

Alzyoudi, M., & Al Mazroui, K. (2024). ChatGPT as a coping mechanism for social isolation: An analysis of user experiences and perceptions of social support. Online Journal of Communication and Media Technologies, 14(3), e202433. https://doi.org/10.30935/ojcmt/14617

Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51(6), 1173-1182. https://doi.org/10.1037/0022-3514.51.6.1173

Benyon, D., & Mival, O. (2010). From human-computer interactions to human-companion relationships. In Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia (pp. 1-9). https://doi.org/10.1145/1963564.1963565

Biocca, F., Harms, C., & Burgoon, J. K. (2003). Toward a more robust theory and measure of social presence: Review and suggested criteria. Presence: Teleoperators and Virtual Environments, 12(5), 456-480. https://doi.org/10.1162/105474603322761270

Chen, S. C., Moyle, W., Jones, C., & Petsky, H. (2020). A social robot intervention on depression, loneliness, and quality of life for Taiwanese older adults in long-term care. International Psychogeriatrics, 32(8), 981-991. https://doi.org/10.1017/S1041610220000459

Cohen, S., Gottlieb, B., & Underwood, L. (2000). Social relationships and health. In S. Cohen, L. Underwood, & B. Gottlieb (Eds.), Measuring and intervening in social support (pp. 3-25). Oxford University Press.

Cohen, S., & Wills, T. A. (1985). Stress, social support, and the buffering hypothesis. Psychological Bulletin, 98(2), 310-357. https://doi.org/10.1037/0033-2909.98.2.310

Coulson, N. S., Buchanan, H., & Aubeeluck, A. (2007). Social support in cyberspace: A content analysis of communication within a Huntington’s disease online support group. Patient Education and Counseling, 68(2), 173-178. https://doi.org/10.1016/j.pec.2007.06.002

Cutrona, C. E., & Russell, D. W. (1990). Type of social support and specific stress: Toward a theory of optimal matching. In B. R. Sarason, I. G. Sarason, & G. R. Pierce (Eds.), Social support: An interactional view (pp. 319-366). Wiley.

Diamantopoulos, A., & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, 17(4), 263–282. https://doi.org/10.1111/j.1467-8551.2006.00500.x

Duong, C. D. (2024). Modeling the determinants of HEI students’ continuance intention to use ChatGPT for learning: A stimulus–organism–response approach. Journal of Research in Innovative Teaching & Learning, 17(2), 391-407. https://doi.org/10.1108/JRIT-01-2024-0006

Epley, N., Waytz, A., & Cacioppo, J. T. (2007). On seeing human: A three-factor theory of anthropomorphism. Psychological Review, 114(4), 864-886. https://doi.org/10.1037/0033-295X.114.4.864

Ernst, M., Klein, E. M., Beutel, M. E., & Brähler, E. (2021). Gender-specific associations of loneliness and suicidal ideation in a representative population sample: Young, lonely men are particularly at risk. Journal of Affective Disorders, 294, 63-70. https://doi.org/10.1016/j.jad.2021.06.085

Fiore, A. M., & Kim, J. (2007). An integrative framework capturing experiential and utilitarian shopping experience. International Journal of Retail & Distribution Management, 35(6), 421-442. https://doi.org/10.1108/09590550710750313

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312

Freitas, J. D., Uguralp, A. K., Uguralp, Z. O., & Stefano, P. (2024). AI companions reduce loneliness. (Wharton School Working Paper No. 24-078). https://doi.org/10.48550/arXiv.2407.19096

Gefen, D., & Straub, D. W. (1997). Gender differences in perception and adoption of e-mail: An extension to the technology acceptance model. MIS Quarterly, 21(4), 389-400. https://doi.org/10.2307/249720

Gong, L., & Nass, C. (2007). When a talking-face computer agent is half-human and half-humanoid: Human identity and consistency preference. Human Communication Research, 33(2), 163-193. https://doi.org/10.1111/j.1468-2958.2007.00295.x

Gremler, D. D., & Gwinner, K. P. (2000). Customer-employee rapport in service relationships. Journal of Service Research, 3(1), 82–104. https://doi.org/10.1177/109467050031006

Gunawardena, C. N. (1995). Social presence theory and implications for interaction and collaborative learning in computer conferences. International Journal of Educational Telecommunications, 1(2), 147-166.

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8

Herath, R. (2025). Emotionally intelligent chatbots in mental health: A review of psychological, ethical, and developmental impacts. International Journal of Computer Applications, 187(29), 49-56. https://doi.org/10.5120/ijca2025925507

Horton, D., & Wohl, R. R. (1956). Mass communication and para-social interaction: Observations on intimacy at a distance. Psychiatry, 19(3), 215-229. https://doi.org/10.1080/00332747.1956.11023049

House, J. S. (1981). Work stress and social support. Addison-Wesley.

Inkster, B., Sarda, S., & Subramanian, V. (2018). An empathy-driven conversational artificial intelligence agent (Wysa) for digital mental well-being: Real-world data evaluation mixed-methods study. JMIR mHealth and uHealth, 6(11), e12106. https://doi.org/10.2196/12106

Kim, M., Lee, S., Kim, S., Heo, J. I., Lee, S., Shin, Y. B., Cho, C. H., & Jung, D. (2025). Therapeutic potential of social chatbots in alleviating loneliness and social anxiety: Quasi-experimental mixed methods study. Journal of Medical Internet Research, 27, e65589. https://doi.org/10.2196/65589

Konya-Baumbach, E., Biller, M., & von Janda, S. (2023). Someone out there? A study on the social presence of anthropomorphized chatbots. Computers in Human Behavior, 139, 107513. https://doi.org/10.1016/j.chb.2022.107513

Lee, K. M., Jung, Y., Kim, J., & Kim, S. R. (2006). Are physically embodied social agents better than disembodied social agents? The effects of physical embodiment, tactile interaction, and people’s loneliness in human–robot interaction. International Journal of Human-Computer Studies, 64(10), 962-973. https://doi.org/10.1016/j.ijhcs.2006.05.002

Lee, O., Park, M., Jang, K., & Park, Y. (2017). Life lessons after classes: Investigating the influence of an afterschool sport program on adolescents’ life skills development. International Journal of Qualitative Studies on Health and Well-being, 12(1), 1307060. https://doi.org/10.1080/17482631.2017.1307060

Lim, M. H., Rodebaugh, T. L., Zyphur, M. J., & Gleeson, J. F. M. (2016). Loneliness over time: The crucial role of social anxiety. Journal of Abnormal Psychology, 125(5), 620-630. https://doi.org/10.1037/abn0000162

Lin, T. C., Hsu, S. C., Cheng, S. L., & Chiu, C. M. (2015). Exploring the relationship between receiving and offering online social support: A dual social support model. Information & Management, 52(3), 371-383. https://doi.org/10.1016/j.im.2015.01.003

Liu, A., Pataranutaporn, P., Turkle, S., & Maes, P. (2025a). Chatbot companionship: A mixed-methods study of companion chatbot usage patterns and their relationship to loneliness in active users. arXiv. https://doi.org/10.48550/arXiv.2410.21596

Liu, X., Lin, Z., Fang, S., & Zhang, L. (2025). No man is an island: Will service robots reduce employee loneliness? Tourism Management, 109, 105151. https://doi.org/10.1016/j.tourman.2025.105151

Loades, M. E., Chatburn, E., Higson-Sweeney, N., Reynolds, S., Shafran, R., Brigden, A., Linney, C., McManus, M. N., Borwick, C., & Crawley, E. (2020). Rapid systematic review: The impact of social isolation and loneliness on mental health of children and adolescents in the context of COVID-19. Journal of the American Academy of Child & Adolescent Psychiatry, 59(11), 1218–1239. https://doi.org/10.1016/j.jaac.2020.05.009

Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. MIT Press.

Morgan, T., Wiles, J., Moeke-Maxwell, T., Black, S., Park, H. J., Dewes, O., Williams, L. A., & Gott, M. (2020). People haven't got that close connection: Meanings of loneliness and social isolation to culturally diverse older people. Aging & Mental Health, 24(10), 1627–1635. https://doi.org/10.1080/13607863.2019.1633619

Nowak, K. L., & Biocca, F. (2003). The effect of agency and anthropomorphism on users’ sense of telepresence, copresence, and social presence in virtual environments. Presence: Teleoperators and Virtual Environments, 12(5), 481-494. https://doi.org/10.1162/105474603322761289

Pani, B., Crawford, J., & Allen, K. A. (2024). Can generative artificial intelligence foster belongingness, social support, and reduce loneliness? In Z. Lyu (Ed.), Applications of generative AI (pp. 261-276). Springer. https://doi.org/10.1007/978-3-031-46238-2_13

Perlman, D., & Peplau, L. A. (1981). Toward a social psychology of loneliness. In S. Duck & R. Gilmour (Eds.), Personal relationships in disorder (pp. 31-56). Academic Press.

Pham, H. C., Duong, C. D., & Nguyen, G. K. H. (2024). What drives tourists’ continuance intention to use ChatGPT for travel services? A stimulus–organism–response perspective. Journal of Retailing and Consumer Services, 78, 103758. https://doi.org/10.1016/j.jretconser.2024.103758

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879

Premathilake, G. W., Li, H., Li, C., Liu, Y., & Han, S. (2025). Understanding the effect of anthropomorphic features of humanoid social robots on user satisfaction: A stimulus-organism-response approach. Industrial Management & Data Systems, 125(2), 768-796. https://doi.org/10.1108/IMDS-10-2023-0781

Rahsepar Meadi, M., Sillekens, T., Metselaar, S., van Balkom, A., Bernstein, J., & Batelaan, N. (2025). Exploring the ethical challenges of conversational AI in mental health care: Scoping review. JMIR Mental Health, 12, e60432. https://doi.org/10.2196/60432

Reeves, B., & Nass, C. I. (1996). The media equation: How people treat computers, television, and new media like real people and places. Cambridge University Press.

Russell, D. W. (1996). UCLA Loneliness Scale (Version 3): Reliability, validity, and factor structure. Journal of Personality Assessment, 66(1), 20-40. https://doi.org/10.1207/s15327752jpa6601_2

Sidoti, O., & McClain, C. (2025, June 25). 34% of U.S. adults have used ChatGPT, about double the share in 2023. Pew Research Center. https://www.pewresearch.org/short-reads/2025/06/25/34-of-us-adults-have-used-chatgpt-about-double-the-share-in-2023/

Short, J., Williams, E., & Christie, B. (1976). The social psychology of telecommunications. Wiley.

Steinberg, L., & Monahan, K. C. (2007). Age differences in resistance to peer influence. Developmental Psychology, 43(6), 1531-1543. https://doi.org/10.1037/0012-1649.43.6.1531

Stickley, A., Koyanagi, A., Koposov, R., McKee, M., Roberts, B., & Ruchkin, V. (2014). Loneliness and health risk behaviours among Russian and U.S. adolescents: A cross-sectional study. BMC Public Health, 14, 366. https://doi.org/10.1186/1471-2458-14-366

Tickle-Degnen, L., & Rosenthal, R. (1990). The nature of rapport and its nonverbal correlates. Psychological Inquiry, 1(4), 285-293. https://doi.org/10.1207/s15327965pli0104_1

Torous, J., Myrick, K. J., Rauseo-Ricupero, N., & Firth, J. (2020). Digital mental health and COVID-19: Using technology today to accelerate the curve on access and quality tomorrow. JMIR Mental Health, 7(3), e18848. https://doi.org/10.2196/18848

Weissbourd, R., Batanova, M., McIntyre, J., Torres, E., Irving, S., Eskander, S., & Bhai, K. (2023). On edge: Understanding and preventing young adults’ mental health challenges. Harvard Graduate School of Education.

Xu, K., Chen, M., & You, L. (2023). The hitchhiker’s guide to a credible and socially present robot: Two meta-analyses of the power of social cues in human–robot interaction. International Journal of Social Robotics, 15, 269-295. https://doi.org/10.1007/s12369-022-00961-3

Yiying, F., & Xiaoqing, F. (2025, April). China’s Gen Z embraces AI. SIXTH TONE. https://www.sixthtone.com/news/1016908

Zhao, Y., Wang, A., & Sun, Y. (2020). Technological environment, virtual experience, and MOOC continuance: A stimulus–organism–response perspective. Computers & Education, 144, 103721. https://doi.org/10.1016/j.compedu.2019.103721

Zhou, P., Xie, Y., & Liang, C. (2023). How to increase consumers’ continued use intention of artificial intelligence voice assistants? The role of anthropomorphic features. Electronic Markets, 33(1), 1-18. https://doi.org/10.1007/s12525-023-00681-0