The Influence of Spatio-temporal Based Human-Machine Interface Design on Driver Workload - A Case Study of Adaptive Cruise Control Using in Cutting-in Scenarios

The Influence of Spatio-temporal Based Human-Machine Interface Design on Driver Workload - A Case Study of Adaptive Cruise Control Using in Cutting-in Scenarios

연구 분야: Software Development

학회: 2022 IEEE/SICE International Symposium on System Integration (SII)

One of the major challenges that the drivers are facing today is increasing amount of information and multi-displays in vehicles. It results in drivers’ distraction, over workload and bad performance in driver-vehicle interaction, which may decrease the acceptance of novel technologies on autonomous vehicles. In this paper, based on the in-vehicle information systems (IVIS), we analyzed the in-vehicle dynamic information. We focused on Adaptive Cruise Control (ACC) using in the cutting-in driving scenario as a case study. Optimized HMIs on the head-up display and dashboard integrating basic vehicle information i.e., speed and ACC were designed. We proposed two HMIs: in HMI1, there was a temporal change, which means the detection information on ACC was displayed earlier; In HMI2, redundant information is spatially considered and distributed. Both HMIs were tested against a BASE HMI design, which displays all ACC-related information on the dashboard and the HUD. In a driving simulator study with a total of 30 participants, each participant performed in cutting-in scenarios with all three designs followed by a subjective workload assessment. The drivers’ lateral control behavior driving in the ego-car was measured. The results indicated that participants’ workload with HMI1 has a significant decrease compared to base HMI, while HMI2 did not show a significant difference. Neither HMI1 nor HMI2 affected driver behavior compared to the base HMI.