Measures affecting driving safety and experience in the era of semi-autonomous driving: In-vehicle interaction design toolkit

Abstract

Semi-autonomous driving technology has rapidly advanced, enhancing driver convenience and comfort. However, ensuring driving safety remains a critical challenge for autonomous vehicle development. Moreover, drivers’ expectations for driving experience are also increasing. This paper develops a design toolkit to help evaluate the in-vehicle interaction methods in terms of both driving safety and driving experience dimensions. We first conducted user interviews to identify 19 interaction methods. Then, an online questionnaire was conducted to assess the reliability and usability of these 19 interaction methods. Based on the results, we propose two interaction toolkits for semi-autonomous driving, the Usability Interaction Toolkit and the Reliability Interaction Toolkit, which are referred to as the IVI (In-Vehicle Interaction) toolkit. The proposed IVI Toolkit serves as a reference for customized safety maps in this evolving field. Meanwhile, it can be drawn upon to compare and evaluate the reliability and usability of the new interaction methods.

Keywords:

• Semi-autonomous driving
• human-vehicle interaction
• driving concentration
• human senses
• IVI toolkit

Acknowledgments

The research team would like to thank all the participants for sharing their time and having wonderful conversations with us for this study. I remember and appreciate each interview. Finally, many thanks to Xinchen Xu and Linkai Chen for generously sharing their experiences with Anova data analysis.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Ye Zhou

Dr. Ye Zhou studies design at Hongik University in Korea. She earned her Bachelor’s Degree in Product Design from the Central Academy of Fine Arts in China and a Master of Science in Integrated Product Design from Brunel University London. The primary topics of her research is around human factors in HCI and interactions, human-centered design, and inclusive design.

Ying Jiang

Ying Jiang is the Head of the Inclusive Design Centre at the Shanghai Industrial Design Association. Her research is centered around inclusive design, design fiction, and behaviour change strategies.