View Proposal

Proposer
Kah Kit Ng
Title
Predicting Student Intention to Use Generative AI Music for Relaxation: A UTAUT2 Approach
Goal
1. To develop a GenAI Music Software based on Meta’s MusicGen model identifying the core UTAUT2 factors (Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions) influencing students’ behavioral intention to use generative AI music software for relaxation. 2. To evaluate whether affective drivers—specifically Hedonic Motivation and Tranquility—are stronger predictors of behavioral intention than utilitarian drivers.
Description
The prevalence of academic stress among university students is a well-documented challenge, frequently managed through digital coping mechanisms. Recently, the advent of Generative Artificial Intelligence (GenAI)—particularly Transformer-based audio models—has introduced dynamic, personalized soundscape generators (e.g., Endel, Suno, MusicGen) designed to foster focus and relaxation. While technology acceptance literature has extensively evaluated GenAI for educational productivity and creative composition, its role as a passive digital well-being intervention remains underexplored. Existing literature primarily evaluates AI music tools from the perspective of active creators or educators. Consequently, there is a theoretical gap regarding how non-creator university students evaluate these tools for passive relaxation. It is unclear if traditional utilitarian constructs—such as Performance Expectancy—are superseded by affective factors like Hedonic Motivation, or if Perceived Risk regarding biometric and emotional data processing creates a barrier to adoption. This study applies the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) to understand the factors driving students' behavioral intentions to adopt these tools specifically for relaxation.
Resources
1. https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2002388 2. https://audiocraft.metademolab.com/musicgen.html 3. https://www.frontiersin.org/journals/education/articles/10.3389/feduc.2025.1686408/full
Background
Python Programming
Url
Difficulty Level
Moderate
Ethical Approval
Full
Number Of Students
1
Supervisor
Kah Kit Ng
Keywords
technology acceptance, generative ai, music, mental relaxation,
Degrees
Bachelor of Science in Computing Science
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