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Open AccessFeature PaperArticle

Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors

Chair of Ergonomics, Technical University of Munich, 85748 Garching, Germany
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Information 2020, 11(2), 62; https://doi.org/10.3390/info11020062
Received: 15 December 2019 / Revised: 18 January 2020 / Accepted: 21 January 2020 / Published: 25 January 2020
(This article belongs to the Special Issue Automotive User Interfaces and Interactions in Automated Driving)
During highly automated driving, the passenger is allowed to conduct non-driving related activities (NDRA) and no longer has to act as a fallback at the functional limits of the driving automation system. Previous research has shown that at lower levels of automation, passengers still wish to be informed about automated vehicle behavior to a certain extent. Due to the aim of the introduction of urban automated driving, which is characterized by high complexity, we investigated the information needs and visual attention of the passenger during urban, highly automated driving. Additionally, there was an investigation into the influence of the experience of automated driving and of NDRAs on these results. Forty participants took part in a driving simulator study. As well as the information presented on the human–machine interface (system status, navigation information, speed and speed limit), participants requested information about maneuvers, reasons for maneuvers, environmental settings and additional navigation data. Visual attention was significantly affected by the NDRA, while the experience of automated driving had no effect. Experience and NDRA showed no significant effect on the need for information. Differences in information needs seem to be due to the requirements of the individual passenger, rather than the investigated factors. View Full-Text
Keywords: highly automated driving; information needs; visual attention ratio; gaze behavior; human–machine interface; driving simulator study highly automated driving; information needs; visual attention ratio; gaze behavior; human–machine interface; driving simulator study
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MDPI and ACS Style

Feierle, A.; Danner, S.; Steininger, S.; Bengler, K. Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors. Information 2020, 11, 62. https://doi.org/10.3390/info11020062

AMA Style

Feierle A, Danner S, Steininger S, Bengler K. Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors. Information. 2020; 11(2):62. https://doi.org/10.3390/info11020062

Chicago/Turabian Style

Feierle, Alexander; Danner, Simon; Steininger, Sarah; Bengler, Klaus. 2020. "Information Needs and Visual Attention during Urban, Highly Automated Driving—An Investigation of Potential Influencing Factors" Information 11, no. 2: 62. https://doi.org/10.3390/info11020062

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