Abstract
The biggest advantage of autonomous driving is the value added free time that the users would enjoy during travel. Research shows that the users would use this time to participate in different non-driving activities: which include resting, sleeping, using smartphone, reading for pleasure, working and the most common activity, i.e. looking outside the window and enjoying the landscape. The challenge for the automotive industry however is to develop vehicle interior and seating concepts to facilitate the different ergonomic seating postures, which would allow the users to pursue these activities for a longer period. The paper helps to understand why digital human modelling and occupant packaging would be of increasing importance in the interior development of autonomous driving vehicles. Discussed in the paper are proposed tools which when implemented would aid the interior development of vehicle interior in the virtual phase and would help to recognize vehicle integration and package problems earlier on in the vehicle development phase.
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References
Flemisch, F., Heesen, M., Hesse, T., Kelsch, J., Schieben, A., Beller, J.: Towards a dynamic balance between humans and automation: authority, ability, responsibility and control in shared and cooperative control situations. Cogn Tech Work (2012). https://doi.org/10.1007/s10111-011-0191-6
Kutila, M., Jokela, M., Markkula, G., Rue, M.R. (eds.): Driver distraction detection with a camera vision system. In: IEEE International Conference on Image Processing (2007)
SAE International: SAE International’s levels of driving automation for on-road vehicles (2014)
Karlsson, I.M., Pettersson, I.: Setting the stage for autonomous cars. A pilot study of future autonomous driving experiences. IET Intell. Transp. Syst. (2015). https://doi.org/10.1049/iet-its.2014.0168
Llaneras, R., Salinger, J., Green, C.A.: Safety related misconceptions and self-reported behavioral adaptations associated with advanced in-vehicle system: lessons learned from early technology adopters. In: Proceedings of the Seventh International Driving Symposium on Human Factors in Driver Assessment, Training, and Vehicle Design
Naujoks, F., Purucker, C., Neukum, A.: Secondary task engagement and vehicle automation – Comparing the effects of different automation levels in an on-road experiment. Transp. Res. Part F: Traffic Psychol. Behav. (2016). https://doi.org/10.1016/j.trf.2016.01.011
Pfleging, B., Rang, M., Broy, N.: Investigating user needs for non-driving-related activities during automated driving. In: Häkkila, J., Ojala, T. (eds.) Proceedings of the 15th International Conference on Mobile and Ubiquitous Multimedia - MUM 2016. The 15th International Conference, Rovaniemi, Finland, 12 December 2016–15 December 2016, pp. 91–99. ACM Press, New York (2016). https://doi.org/10.1145/3012709.3012735
Frauenhofer Institute: The Value of Time (2016)
McKinsey Company: Automotive Revolution & Perspective Towards 2030. Auto Tech Rev (2016). https://doi.org/10.1365/s40112-016-1117-8
McKinsey & Company: Bloomberg New Energy Finance: An Integrated Perspective on the Future of Mobility. McKinsey & Company, Bloomberg New Energy Finance (2016)
Cyganski, R., Fraedrich, E., Lenz, B.: Travel time valuation for automated driving: a use-case driven study. In: TRB 94th Annual Meeting (2014)
Brown, A.: BMW’s CES Concept Predicts the Self-Driving Car Interior of Tomorrow (2019). https://www.thedrive.com/tech/6810/bmws-ces-concept-predicts-the-self-driving-car-interior-of-tomorrow. Accessed 6 June 2019
Bloom, J.: Car Designers Show Off Futuristic Interiors for Tomorrow’s Self-Driving Vehicles (2019). https://www.nbclosangeles.com/news/tech/Car-Designers-Show-Off-Futuristic-Interiors-for-Tomorrows-Self-Driving-Vehicles-504896031.html. Accessed 1 June 2019
Naumann, A., Rötting, M.: Digital Human Modeling for Design and Evaluation of Human-Machine Systems. MMI-Interaktiv (2007)
Zhang, X., Chaffin, D.B.: Digital human modeling for computer-aided ergonomics. University of Michigan (2005)
Badler, N.I., Phillips, C.B., Webber, B.L.: Humans: Computer Graphics, Animation, and Control (1993)
Morrissey, M.: Human-centric design. Mech. Eng. 120, 60–62 (1998)
Zhang, X., Chaffin, D.B.: A three-dimensional dynamic posture prediction model for simulating in-vehicle seated reaching movements: development and validation. Ergonomics 43, 1314–1330 (2000)
Cappelli, T.M., Duffy, V.G. (eds.): Motion Capture for Job Risk Classifications Incorporating Dynamic Aspects of Work. Digital Human Modeling for Design and Engineering Conference, Jul. 04, 2006. SAE International400 Commonwealth Drive, Warrendale, PA, United States (2006)
Gkikas, N.: Automotive Ergonomics. Driver-Vehicle Interaction. CRC Press, Hoboken (2012)
Parkinson, M.B., Reed, M.P. (eds.): Optimizing Vehicle Occupant Packaging. SAE 2006 World Congress & Exhibition, APR. 03, 2006. SAE International400 Commonwealth Drive, Warrendale, PA, United States (2006)
Kent, J.L.: Driving to save time or saving time to drive? The enduring appeal of the private car. Transportation Research Part A: Policy and Practice (2014). https://doi.org/10.1016/j.tra.2014.04.009
Pettersson, I., Ju, W.: Design techniques for exploring automotive interaction in the drive towards automation. In: Mival, O., Smyth, M., Dalsgaard, P. (eds.) Proceedings of the 2017 Conference on Designing Interactive Systems - DIS 2017. The 2017 Conference, Edinburgh, United Kingdom, 10 June 2017–14 June 2017, pp. 147–160. ACM Press, New York (2017). https://doi.org/10.1145/3064663.3064666
Parida, S., Mallavarapu, S., Abanteriba, S., Franz, M., Gruener, W.: User-centered-design approach to evaluate the user acceptance of seating postures for autonomous driving secondary activities in a passenger vehicle. In: Ahram, T., Karwowski, W., Taiar, R. (eds.) Human Systems Engineering and Design, vol. 876. Advances in Intelligent Systems and Computing, pp. 28–33. Springer, Cham (2019)
Parida, S., Mallavarapu, S., Abanteriba, S., Franz, M., Gruener, W. (eds.): Seating Postures for Autonomous Driving Secondary Activities. International Conference on Intelligent Interactive Multimedia Systems and Services, 17 June 2019–19 June 2019. Springer International Publishing (2019)
Babbs, F.W.: A Design Layout Method for Relating Seating to the Occupant and Vehicle. Ergonomics (1979). https://doi.org/10.1080/00140137908924606
Milivojevich, A., Stanciu, R., Russ, A., Blair, G.R., van Heumen, J.D.: Investigating psychometric and body pressure distribution responses to automotive seating comfort. In: SAE Technical Paper Series. SAE 2000 World Congress, MAR. 06, 2000. SAE International400 Commonwealth Drive, Warrendale, PA, United States (2000). https://doi.org/10.4271/2000-01-0626
Paddan, G.S., Mansfield, N.J., Arrowsmith, C.I., Rimell, A.N., King, S.K., Holmes, S.R.: The influence of seat backrest angle on perceived discomfort during exposure to vertical whole-body vibration. Ergonomics (2012). https://doi.org/10.1080/00140139.2012.684889
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Parida, S., Abanteriba, S., Franz, M. (2020). Digital Human Modelling, Occupant Packaging and Autonomous Vehicle Interior. In: Ahram, T., Karwowski, W., Pickl, S., Taiar, R. (eds) Human Systems Engineering and Design II. IHSED 2019. Advances in Intelligent Systems and Computing, vol 1026. Springer, Cham. https://doi.org/10.1007/978-3-030-27928-8_31
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