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Effects of User Interfaces on Take-Over Performance: A Review of the Empirical Evidence
- Source :
- Information, Information, Vol 12, Iss 162, p 162 (2021)
- Publication Year :
- 2021
-
Abstract
- In automated driving, the user interface plays an essential role in guiding transitions between automated and manual driving. This literature review identified 25 studies that explicitly studied the effectiveness of user interfaces in automated driving. Our main selection criterion was how the user interface (UI) affected take-over performance in higher automation levels allowing drivers to take their eyes off the road (SAE3 and SAE4). We categorized user interface (UI) factors from an automated vehicle-related information perspective. Short take-over times are consistently associated with take-over requests (TORs) initiated by the auditory modality with high urgency levels. On the other hand, take-over requests directly displayed on non-driving-related task devices and augmented reality do not affect take-over time. Additional explanations of take-over situation, surrounding and vehicle information while driving, and take-over guiding information were found to improve situational awareness. Hence, we conclude that advanced user interfaces can enhance the safety and acceptance of automated driving. Most studies showed positive effects of advanced UI, but a number of studies showed no significant benefits, and a few studies showed negative effects of advanced UI, which may be associated with information overload. The occurrence of positive and negative results of similar UI concepts in different studies highlights the need for systematic UI testing across driving conditions and driver characteristics. Our findings propose future UI studies of automated vehicle focusing on trust calibration and enhancing situation awareness in various scenarios.
- Subjects :
- 050210 logistics & transportation
human–machine interaction
Modality (human–computer interaction)
Situation awareness
take-over request
lcsh:T58.5-58.64
Computer science
business.industry
lcsh:Information technology
05 social sciences
Graphical user interface testing
Automation
Information overload
Task (project management)
user interface
Human–computer interaction
0502 economics and business
automated vehicles
0501 psychology and cognitive sciences
Augmented reality
User interface
business
050107 human factors
Information Systems
Subjects
Details
- ISSN :
- 20782489
- Database :
- OpenAIRE
- Journal :
- Information
- Accession number :
- edsair.doi.dedup.....1a40abaadbefbec6a43f16f45583aa69
- Full Text :
- https://doi.org/10.3390/info12040162