Complexity of In-Vehicle Controllers and Their Effect on Task Performance

ABSTRACT

Smart functions in vehicles have led to an increase in the complexity of control interfaces. This study aims to develop a model for evaluating in-vehicle controller complexity and to investigate the relationship between complexity and task performance. A research framework consisting of three complexity dimensions (functional, behavioral, and structural dimensions) and controller-related variables was developed based on previous literature. A user experiment was conducted using 10 vehicles and 91 participants. A regression analysis was used to examine the relationship between the measurement variables and perceived controller complexity, and the results indicated correlations between them. An increase in functional dimension variables caused an increase in the perceived complexity level, while behavioral dimension variables are not a statistically significant predictor. Structural dimension variables showed different results depending on the characteristics of the variables. The results of the control task experiment showed a negative correlation between task performance and the perceived complexity level. In addition, satisfaction decreased with increasing levels of complexity. These results provide insights for managing in-vehicle controller complexity.

Acknowledgments

This research was supported by the Graduate School of YONSEI University Research Scholarship Grants in 2017.

Additional information

Funding

This work was also supported by Mid-career Researcher Program through NRF grant funded by the MSIP (Ministry of Science, ICT and Future Planning) (Grant-# NRF-2013R1A2A2A03014150).

Notes on contributors

Seul Chan Lee

Seul Chan Lee is a Ph.D. candidate in the Department of Industrial Engineering at Yonsei University, Korea. His research interests include HCI and human factors issues in vehicle environments and smart devices. [email protected]

Yong Gu Ji

Yong Gu Ji is a Professor in the Department of Industrial Engineering at Yonsei University, where he directs the Interaction Design Laboratory. He received his Ph.D. in Human Factors/HCI from Purdue University. His research interests include usability/UX in smart devices and self-driving vehicles.