How Dose Aesthetic Design Affect Continuance Intention in In-Vehicle Infotainment Systems? An Exploratory Study

Abstract

With the digitalization of automobile cabins, in-vehicle infotainment systems play an increasingly pivotal role in vehicles. This study aims to understand how the interface aesthetics of the in-vehicle infotainment system affect users’ continuance intention in in-vehicle infotainment systems. Based on a literature review, a theoretical model was constructed, encompassing seven latent variables: simplicity, colorfulness, diversity, craftsmanship, functional value, emotional value, and continuance intention. Analysis of 243 valid questionnaires revealed that both functional and emotional values serve as crucial mediators in encouraging users to continue using the in-vehicle infotainment system, with functional quality being the core element. Moreover, simplicity, diversity, and craftsmanship indirectly affect continuance intention by influencing both functional and emotional values. These findings underscore the need for future designers of in-vehicle infotainment systems to focus on interface functionality and emotional needs, and to ensure that content is concise, engaging, user-friendly, and visually polished, thereby enhancing the user experience and fostering the intention to continue usage.

Keywords:

• In-vehicle infotainment system
• interface aesthetics
• perceived value
• continuance intention

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Qianling Jiang

Qianling Jiang is a research assistant professor at the School of Design, Jiangnan University. His research interests include user perception and preference, system usability, interactive design, and design research methods.

Liyuan Deng

Liyuan Deng is a PhD candidate at the School of Design, Jiangnan University. His research interests include interactive design, user experience, and design theory.

Jie Zhang

Jie Zhang is a research associate in Department of Computing, The Hong Kong Polytechnic University. His research interests include AI-aided design, intelligent product design, ergonomics design, interactive design, generative models, and colour science.