The Influence Mechanism of Language Arousal in AI Digital Human Teachers on Learning Experience: The Mediating Role of Psychological Distance
DOI:
https://doi.org/10.71204/wb393133Keywords:
AI Digital Human Teacher, Language Arousal, Psychological Distance, Instructional Communication, Learning EffectivenessAbstract
While AI digital human teachers are increasingly utilized in the field of education, current designs often prioritize technical implementation while overlooking the psychological adaptability mechanisms inherent in instructional communication. (1) Grounded in social presence theory and cognitive load theory, this study investigates the impact of AI teachers' language arousal levels (high vs. low) on students' learning experiences and examines the pivotal mediating role of psychological distance in instructional outcomes. (2) A single-factor between-subjects experimental design was employed, where 100 participants were randomly assigned to either a high-arousal language group (enthusiastic and vivid) or a low-arousal language group (steady and calm) for a learning session. (3) Data analysis reveals that language arousal significantly and positively affects instructional outcomes (p<0.001); specifically, the high-arousal strategy yielded significantly higher scores in learning satisfaction, continuance intention, and perceived learning effectiveness compared to the low-arousal group. Furthermore, psychological distance serves as a key mediator, as high-arousal language conveys emotional cues that bridge the gap between students, the AI teacher, and the instructional content, thereby reducing cognitive defenses. (4) This study identifies psychological distance as a critical psychological mechanism for successful AI instruction, providing empirical evidence for the anthropomorphic design of AI educational tools and facilitating a paradigm shift in AI teachers from mere speech synthesis to emotional instructional communication.
References
Barclay, K. (2020). Family, memory and emotion in the museum. Emotion, Space and Society, 35, 100679.
Berger, J., & Milkman, K. L. (2012). What makes online content viral? Journal of Marketing Research, 49(2), 192–205.
Berger, J., Moe, W. W., & Schweidel, D. A. (2023). What holds attention? Linguistic drivers of engagement. Journal of Marketing, 87(5), 793–809.
Burgoon, M., Pauls, V., & Roberts, D. L. (2002). Language expectancy theory. In J. Dillard, & M. Pfau (Eds.), The persuasion handbook: Developments in theory and practice (pp. 117–136). SAGE Publications Inc.
Chen, Y., Liu, X., & Zhang, J. (2024). Bridging the gap: The role of psychological distance in human-AI interaction in educational settings. Computers & Education, 198, 104825.
Escalas, J. E., & Stern, B. B. (2003). Sympathy and empathy: Emotional responses to advertising dramas. Journal of Consumer Research, 29(4), 566–578.
Huang, M. H., & Rust, R. T. (2018). Artificial intelligence in service. Journal of Service Research, 21(2), 155–172.
Jones, C., Hine, D. W., & Marks, A. D. G. (2017). The future is now: Reducing psychological distance to increase public engagement with climate change. Risk Analysis, 37(2), 331–341.
Kwon, H., Choi, Y., Zhao, X., Hua, M., Wang, W., Garaj, V., & Lam, B. (2024). How immersive and interactive technologies affect the user experience and cultural exchange in the museum and gallery sector. The International Journal of the Inclusive Museum, 18(1), 135–160.
Li, L., & Yang, S. (2016). Focus or distraction? The impact of mobile learning on students' concentration and academic performance. Journal of Educational Computing Research, 54(3), 325–345.
Li, T., & Sung, Y. (2021). The effects of social presence and psychological distance on user trust in chatbots. International Journal of Human-Computer Interaction, 37(13), 1234–1245.
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, 106680.
Li, X., & Yang, X. (2016). Effects of learning styles and interest on concentration and achievement of students in mobile learning. Journal of Educational Computing Research, 54(7), 922–945.
Liberman, N., & Trope, Y. (2014). Traversing psychological distance. Trends in Cognitive Sciences, 18(7), 364–369.
Liu, J., & Wang, S. (2024). A study of the effect of viewing online health popular science information on users' willingness to change health behaviors—Based on the psychological distance perspective. Current Psychology, 43(38), 30135–30147.
Ludwig, S., De Ruyter, K., Friedman, M., Brüggen, E. C., Wetzels, M., & Pfann, G. (2013). More than words: The influence of affective content and linguistic style matches in online reviews on conversion rates. Journal of Marketing, 77(1), 87–103.
Massara, F., & Severino, F. (2013). Psychological distance in the heritage experience. Annals of Tourism Research, 42, 108–129.
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.
Tastemirova, A., Schneider, J., Kruse, L. C., Heinzle, S., & Brocke, J. V. (2022). Microexpressions in digital humans: Perceived affect, sincerity, and trustworthiness. Electronic Markets, 32(3), 1603–1620.
Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological Review, 117(2), 440–463.
Wang, B., Han, Y., Kandampully, J., & Lu, X. (2025). How language arousal affects purchase intentions in online retailing? The role of virtual versus human influencers, language typicality, and trust. Journal of Retailing and Consumer Services, 82, 104106.
Wang, L., Ye, Z., & Zhu, S. (2023). Research on college students’ emotional experience in online learning. International Journal of Continuing Engineering Education and Life-Long Learning, 33(6), 523–535.
Wang, W.-T., Ou, W.-M., & Chen, W.-Y. (2019a). The impact of inertia and user satisfaction on the continuance intentions to use mobile communication applications: A mobile service quality perspective. International Journal of Information Management, 44, 178–193.
Wang, W.-T., Wang, Y.-S., & Liu, E.-R. (2019b). The stickiness intention of group-buying websites: The integration of the quality-value-satisfaction framework and trust. Electronic Commerce Research and Applications, 15, 100–115.
Weidlich, J., Yau, J., & Kreijns, K. (2024). Social presence and psychological distance: A construal level account for online distance learning. Education and Information Technologies, 29(1), 401–423.
Wu, H., Chen, Z., Huang, Y., & Tu, H. (2024). Research on the uncanny valley effect in artificial intelligence news anchors. Multimedia Tools and Applications, 83(1), 62581–62606.
Xie, C., Xie, Y., Wang, Y., Zhou, P., Lu, L., Feng, Y., & Liang, C. (2025). Understanding older adults' continued-use intention of AI voice assistants. Universal Access in the Information Society, 24(2), 1687–1699.
Xie, H., Chu, H.-C., Hwang, G.-J., & Wang, C.-C. (2025). Trends and development in artificial intelligence in education: A systematic review. Educational Technology & Society, 28(1), 1–25.
Yin, D., Bond, S. D., & Zhang, H. (2017). Keep your cool or let it out: Nonlinear effects of expressed arousal on helpfulness of online reviews. Journal of Marketing Research, 54(3), 418–436.
Zhang, L., & Bowman, D. A. (2022). Exploring effect of level of storytelling richness on science learning in interactive and immersive virtual reality. ACM International Conference on Interactive Media Experiences (IMX '22), 19–32.
Zhang, Z., Van Lieshout, L. L. F., Colizoli, O., Li, H., Yang, T., Liu, C., Qin, S., & Bekkering, H. (2025). A cross-cultural comparison of intrinsic and extrinsic motivational drives for learning. Cognitive, Affective, & Behavioral Neuroscience, 25(1), 25–44.
Zheng, L., Miao, M., & Gan, Y. (2020). Perceived control buffers the effects of the COVID-19 pandemic on general health and life satisfaction: The mediating role of psychological distance. Applied Psychology: Health and Well-Being, 12(2), 471–492.
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