Non-driving Related Activities in Automated Driving – An Online Survey Investigating User Needs

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1026)


Automated driving allows the driver to deal with non-driving related activities (NDRA). Surveys, observations in other modes of transportation and driving simulator studies reveal a high variance in possible activities and activity durations. An online study was thus conducted to investigate factors influencing the choice of NDRA. Privacy, storage option, travel duration and purpose were found to have an impact on the attractiveness of certain activities. Furthermore, we investigated the changing need for information that comes with activity engagement. When performing an intense NDRA such as working, results of the online survey indicate that information about current and upcoming maneuvers, surrounding traffic and current speed become less important, while reliability, system status and especially remaining time in current automation mode remain important for people engaged in a NDRA.


Non-driving related activities Automated driving Human factors 



This report is based on parts of the research project @CITY-AF carried out at the request of the Federal Ministry of Economics and Energy, under research project No. 19A18003N. The author is solely responsible for the content.


  1. 1.
    König, M., Neumayr, L.: Users’ resistance towards radical innovations. The case of the self-driving car. Transportation Research Part F: Traffic Psychology and Behaviour (2017). Scholar
  2. 2.
    Pfleging, B., Rang, M., Broy, N.: Investigating user needs for non-driving-related activities during automated driving. In: Alt, F. (ed.) Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia, MUM 2016, 12–15 December 2016, Rovaniemi, Finland, pp. 91–99. The Association for Computing Machinery, Inc, New York (2016).
  3. 3.
    Sommer, K.: Continental Mobilitätsstudie 2013. Continental AG (2013)Google Scholar
  4. 4.
    Russell, M., Price, R., Signal, L., Stanley, J., Gerring, Z., Cumming, J.: What do passengers do during travel time? Structured observations on buses and trains. JPT 14, 7 (2011). Scholar
  5. 5.
    Large, D., Burnett, G., Morris, A., Muthumani, A., Matthias, R.: Design implications of drivers’ engagement with secondary activities during highly-automated driving – a longitudinal simulator study. In: Road Safety and Simulation International Conference (RSS2017), The Hague, Netherlands, 17–19 October 2017 (2017)Google Scholar
  6. 6.
    Hecht, T., Feldhütter, A., Draeger, K., Bengler, K.: What do you do? An analysis of non-driving related activities during a 60 minutes conditionally automated highway drive. Article Submitted for Publication (2019)Google Scholar
  7. 7.
    Susilo, Y.O., Lyons, G., Jain, J., Atkins, S.: Rail passengers’ time use and utility assessment. Transp. Res. Rec. (2013). Scholar
  8. 8.
    Ohmori, N., Harata, N.: How different are activities while commuting by train? A case in Tokyo. Tijdschrift voor economische en sociale geografie 99, 547–561 (2008). Scholar
  9. 9.
    Beggiato, M., Hartwich, F., Schleinitz, K., Krems, J., Othersen, I., Petermann-Stock, I.: What would drivers like to know during automated driving? Information needs at different levels of automation. In: 7. Tagung Fahrerassistenzsysteme (2015)Google Scholar
  10. 10.
    Diels, C., Thompson, S.: Information expectations in highly and fully automated vehicles. Advances in human aspects of transportation. In: Stanton, N.A. (ed.) Advances in Human Aspects of Transportation: Proceedings of the AHFE 2017 International Conference on Human Factors in Transportation. Springer, Cham (2018)Google Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Chair of ErgonomicsTechnical University of MunichGarchingGermany

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