Drivers’ User-interface Information Prioritization in Manual and Autonomous Vehicles

Jung Min Lee, Su Wan Park, Da Young Ju

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


This study investigated what information items should be presented to drivers in future autonomous vehicles by comparing how preferences regarding information differ from those in the current manual-driving environment. A survey of 29 in-vehicle information items was conducted among 156 participants, who drove a virtual indoor simulator in both manual- and autonomous-driving modes. In all, 29 items of in-vehicle information were classified into three tasks. The primary driving task had mobility as its core value, secondary driving tasks were activities that played supportive roles in vehicular movements (e.g., car accident notifications, wipers), and tertiary driving tasks included non-driving activities. The results indicated that drivers place less priority on receiving secondary task-related information and greater priority on tertiary driving task information in the autonomous mode of driving compared to the manual driving environment. Second, females have a higher preference for information in both modes of driving, whereas males demonstrated a higher incremental level for information in the autonomous environment. Third, older drivers and those in their 20s should be given the highest priority in information dissemination. This study is useful as it can provide a basic guideline for designers of user experiences and user interfaces.

Original languageEnglish
Pages (from-to)1355-1367
Number of pages13
JournalInternational Journal of Automotive Technology
Issue number6
Publication statusPublished - 2020 Dec

Bibliographical note

Funding Information:
This work was supported by Korea Creative Content Agency (KOCCA), grant funded by the Korea government (MCST) (No. R2017030009, The development of infotainment contents and interaction for space of movement). This work was also supported by the Technology Innovation Program (10079996, Development of HVI technology for autonomous vehicle driver status monitoring and situation detection), funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea).

Publisher Copyright:
© 2020, KSAE.

All Science Journal Classification (ASJC) codes

  • Automotive Engineering


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