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ABSTRACT
Despite enhancements in the visual complexity of in-vehicle information display in recent years, few studies have examined the effects of such increased complexity. We conducted this study with the following objectives: (1) to suggest a framework for predicting the perceived visual complexity (PVC) of in-vehicle information display; (2) to examine the effects of PVC on the visual behavior of human operators; (3) to investigate the relationship between preferences and PVC. A theoretical framework to evaluate PVC was developed, and a survey study was used to collect participants’ perceptions on visual complexity. A regression analysis was employed to find the relationship between each of three factors and PVC. Two of the factors—quantity and variety—showed a positive correlation with PVC, whereas the third factor, relation, exhibited a negative correlation. Visual search experiments were conducted to test the effects of PVC on the performance of visual search tasks and glance behavior. The results showed that the high level of PVC leads to more time-on-task and number of fixations. We also found that preference for in-vehicle information displays was inversely proportional to PVC. The results enable us to predict how human operators perceive visual complexity and explain the influence of PVC on human behavior.
Funding
This work was supported by Mid-Career Researcher Program through NRF grant funded by the MSIP (Ministry of Science, ICT, and Future Planning) (grant number NRF-2013R1A2A2A03014150).
Additional information
Funding
Notes on contributors
Seul Chan Lee
Seul Chan Lee is a PhD candidate in the Department of Information and Industrial Engineering at Yonsei University, Korea. His research interests include HCI and human factor issues in vehicle environment and smart devices.
Hwan Hwangbo
Hwan Hwangbo is a PhD candidate in the Department of Information and Industrial Engineering at Yonsei University, Korea. His research interests include user experience, user interface design, and human factors.
Yong Gu Ji
Yong Gu Ji is a professor in the Department of Information and Industrial Engineering at Yonsei University, Korea, where he directs the Interaction Design Laboratory. He received his PhD in industrial engineering from Purdue University. His research interests include usability/user experience in ICT, and HCI issues in smart devices and self-driving vehicles.