A Study on the Relationship between Cognitive Load and User Decision-Making Quality of Interaction Design Users
Liwei Guo, JiHeun Kong, Chee-yong Kim · Journal of Korea Multimedia Society · 2025
With the rapid advancement of information technology, users are increasingly exposed to vast amounts of information in interaction design, leading to heightened cognitive load that may impair the quality of user decision-making. This study aims to examine the relationship between cognitive load and user decision-making quality in interaction design and to explore how interaction design complexity and usability moderate this relationship. Data were collected through a structured questionnaire survey and analyzed using structural equation modeling (SEM), incorporating key variables such as interaction design complexity, interaction design usability, user cognitive load, users’ affective states, cognitive resource allocation, and user decision-making quality. The empirical findings indicate that interaction designs that effectively mitigate cognitive load significantly enhance user decision quality, thereby providing a solid empirical foundation for interaction design research. Furthermore, this study offers theoretical insights and practical guidance for designers to optimize interaction design, alleviate users’ cognitive burden, and improve decision-making quality.