Due to the fact that time-sharing rental cars (TSRC) are not personal vehicles, users are prone to feeling unfamiliar or even uncomfortable. Compared to private cars, driving behaviors in TSRC are more likely to be influenced by the level of human-computer interaction (HCI) on the on-board computer and the road environment. The current article proposes to obtain main categories of driving experience of TSRC by the Grounded Theory. And the dimensionality of factors that affect the driving experience were reduced based on Factor Analysis. Common factors were extracted as the core research objectives, and the impact of each common factor on the willingness to use TSRC was analyzed. Then by means of the Analytic Hierarchy Process (AHP), the importance of different HCI methods in terms of meeting demands of using TSRC was evaluated. The results indicated that among the evaluation criteria, the most important one is that the on-board computer can provide sufficient intelligent prompt and driving assistance functions. And for HCI methods, physical buttons/knobs have the highest weight in matching the TSRC driver’s demands, followed by voice interaction. The weights of touch screen and gesture recognition are relatively lower. And finally, the design implementation path for the car interior and HCI interface applicable to TSRC was formed.

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Design of Automotive Interior and Human-Computer Interaction for Time-Sharing Rental: A Chinese Study

  • Hao Yang,
  • Na Chen,
  • Quanxin Jin,
  • Ying Zhao

摘要

Due to the fact that time-sharing rental cars (TSRC) are not personal vehicles, users are prone to feeling unfamiliar or even uncomfortable. Compared to private cars, driving behaviors in TSRC are more likely to be influenced by the level of human-computer interaction (HCI) on the on-board computer and the road environment. The current article proposes to obtain main categories of driving experience of TSRC by the Grounded Theory. And the dimensionality of factors that affect the driving experience were reduced based on Factor Analysis. Common factors were extracted as the core research objectives, and the impact of each common factor on the willingness to use TSRC was analyzed. Then by means of the Analytic Hierarchy Process (AHP), the importance of different HCI methods in terms of meeting demands of using TSRC was evaluated. The results indicated that among the evaluation criteria, the most important one is that the on-board computer can provide sufficient intelligent prompt and driving assistance functions. And for HCI methods, physical buttons/knobs have the highest weight in matching the TSRC driver’s demands, followed by voice interaction. The weights of touch screen and gesture recognition are relatively lower. And finally, the design implementation path for the car interior and HCI interface applicable to TSRC was formed.