Music-Evoked Emotion and Intention to Share Emotional Data The Role of Positive and Negative Affect and Mental Privacy Awareness

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.