"Listen to Music, Listen to Yourself": Design of a Conversational Agent to Support Self-Awareness While Listening to Music

要旨

Music can affect the human brain and cognition. Melodies and lyrics that resonate with us can awaken our inner feelings and thoughts; being in touch with these feelings and expressing them allow us to understand ourselves better and increase our self-awareness. To support self-awareness elicited by music, we designed a novel conversational agent (CA) that guides users to become self-aware and express their thoughts when they listen to music. Moreover, we investigated two prominent design factors in the CA, proactive guidance and social information. We then conducted a 2x2 between-subjects experiment (N = 90) to investigate how the two design factors affect self-awareness, user acceptance, and mental well-being. The results of a five-day user study reveal that high proactive guidance and social information increased self-awareness, but high proactive guidance tended to influence perceived autonomy and usefulness negatively. Further, users’ subjective feedback revealed the CA's potential to support mental well-being.

著者
Wanling Cai
Hong Kong Baptist University, Hong Kong, China
Yucheng Jin
Hong Kong Baptist University, Hong Kong, China
Xianglin Zhao
Hong Kong Baptist University, Hong Kong, China
Li Chen
Hong Kong Baptist University, Kowloon, Hong Kong
論文URL

https://doi.org/10.1145/3544548.3581427

動画

会議: CHI 2023

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2023.acm.org/)

セッション: Conversational Agents

Hall F
6 件の発表
2023-04-26 20:10:00
2023-04-26 21:35:00