EnglishMusic-Evoked Emotion and Intention to Share Emotional Data The Role of Positive and Negative Affect and Mental Privacy Awareness
- Authors:Sooin Cho(North London Collegiate School)
- Publication Date:February 27, 2026
- Type:International Journal of Convergence Science for Youth Vol.1
- DOI:https://doi.org/10.23410/IJCSY.2026.1.1.02
- Volume/Issue:1/(1)
Abstract
As emotional artificial intelligence (AI) and mood-sensing technologies become increasingly integrated into everyday digital services, individuals are more frequently asked to share emotion-related or biometric data. Music is known to evoke strong emotional responses, yet little is known about how such emotional experiences influence willingness to share emotional data. This study examined whether positive and negative affect elicited by music predict emotional data-sharing intention and whether mental privacy awareness reduces such willingness. A total of 170 participants listened to a short music clip of their preferred genre and completed an online survey. Emotional responses were measured using the Positive and Negative Affect Schedule (PANAS), mental privacy awareness was assessed using the IPSA scale (Sim et al., 2012), and data-sharing intention was measured using a scale adapted from Kim et al. (2023). Regression analyses showed that positive affect significantly increased willingness to share emotional data, while negative affect was not a significant predictor. Mental privacy awareness significantly reduced emotional data-sharing intention. These findings suggest that positive emotional experiences may lower resistance to emotional data sharing, whereas mental privacy awareness functions as an important protective factor. The study highlights the importance of ethical transparency and informed consent in emotional AI and music-based digital platforms.
References
- Ajenaghughrure, I. B., Sousa, S. C. D., & Lamas, D. R. (2018). The interplay between emotion and trust in technology. In Proceedings of the Second African Conference for Human Computer Interaction: Thriving Communities (pp. 1–4). ACM. https://doi.org/10.1145/3283458.3283480
- Crawford, J. R., & Henry, J. D. (2004). The Positive and Negative Affect Schedule (PANAS): Construct validity, measurement properties and normative data in a large non-clinical sample. British Journal of Clinical Psychology, 43(3), 245–265. https://doi.org/10.1348/0144665031752934
- Ienca, M., & Andorno, R. (2017). Towards new human rights in the age of neuroscience and neurotechnology. Life Sciences, Society and Policy, 13(1), 1–27. https://doi.org/10.1186/s40504-017-0050-1
- Juslin, P. N., & Västfjäll, D. (2008). Emotional responses to music: The need to consider underlying mechanisms. Behavioral and Brain Sciences, 31(5), 559–575. https://doi.org/10.1017/S0140525X08005293
- Kim, J., Im, E., & Kim, H. (2023). From intention to action: the factors affecting health data sharing intention and action. International Journal of Medical Informatics, 175, 105071. https://doi.org/10.1016/j.ijmedinf.2023.105071
- Kim, Y. E., Schmidt, E. M., Migneco, R., Morton, B. G., Richardson, P., Scott, J., & Turnbull, D. (2010). Music emotion recognition: A state of the art review. In Proceedings of the 11th International Society for Music Information Retrieval Conference (ISMIR 2010) (pp. 255–266).
- Lerner, J. S., Li, Y., Valdesolo, P., & Kassam, K. S. (2015). Emotion and decision making. Annual Review of Psychology, 66(1), 799–823. https://doi.org/10.1146/annurev-psych-010213-115043
- Lustgarten, S. D., Garrison, Y. L., Sinnard, M. T., & Flynn, A. W. (2020). Digital privacy in mental healthcare: Current issues and recommendations for technology use. Current Opinion in Psychology, 36, 25–31. https://doi.org/10.1016/j.copsyc.2020.03.012
- Pelau, C., Dabija, D. C., & Stanescu, M. (2024). Can I trust my AI friend? The role of emotions, feelings of friendship and trust for consumers' information-sharing behavior toward AI. Oeconomia Copernicana, 15(2), 407-433. https://doi.org/10.24136/oc.2916
- Sang, V. M., Thanh, T. N. P., Gia, H. N., Nguyen Quoc, D., Long, K. L., & Yen, V. P. T. (2024). Impact of user-generated content in digital platforms on purchase intention: The mediating role of user emotion in the electronic product industry. Cogent Business & Management, 11(1), Article 2414860. https://doi.org/10.1080/23311975.2024.2414860
- Schomakers, E. M., Lidynia, C., & Ziefle, M. (2022). The role of privacy in the acceptance of smart technologies: Applying the privacy calculus to technology acceptance. International Journal of Human–Computer Interaction, 38(13), 1276–1289. https://doi.org/10.1080/10447318.2021.1998357
- Sim, I., Liginlal, D., & Khansa, L. (2012). Information privacy situation awareness: Construct and validation. Journal of Computer Information Systems, 53(1), 57–64. https://doi.org/10.1080/08874417.2012.11645529
- Sloboda, J. A., & O’Neill, S. A. (2001). Emotions in everyday listening to music. In P. N. Juslin & J. A. Sloboda (Eds.), Music and emotion: Theory and research (pp. 415–429). Oxford University Press.
- Wajnerman Paz, A. (2021). Is mental privacy a component of personal identity? Frontiers in Human Neuroscience, 15, Article 773441. https://doi.org/10.3389/fnhum.2021.773441
- Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063
- Yin, Y., & Hsu, C. (2023). The role of privacy and emotion in ARBS continuing use intention. Internet Research, 33(1), 219–241. https://doi.org/10.1108/INTR-09-2021-0692