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Quantitative Characterisation for Non-Driving-Related Activities in Automated Vehicles

Part of: Mobility

Published online by Cambridge University Press:  26 July 2019

Florian Fitzen ,
Jan Reimann ,
Maximilian Amereller  and
Kristin Paetzold
Florian Fitzen*
Affiliation:
BMW AG;
Jan Reimann
Affiliation:
BMW AG;
Maximilian Amereller
Affiliation:
BMW AG;
Kristin Paetzold
Affiliation:
Bundeswehr University Munich
*
Contact: Fitzen, Florian, BMW AG, Interior, Germany, [email protected]

Abstract

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The technological progress to automated driving not only influences the motion of the vehicle itself but also enables passengers to productively shape their driving time in a new way as they are not occupied with driving tasks anymore. Therefore, non-driving-related activities such as sleeping, working on a notebook or watching movies, become relevant user scenarios for functionally designing the automotive interior. For this purpose, a non-driving-related activity can be described by functions, which support the users in performing their intentional tasks, and functions carriers, which fulfil one or several functions. Basing on previous research findings, a quantitative survey is conducted in order to identify relevant and prioritised functions and function carriers. Five non-driving-related activities are taken into account: 'Making a call', 'sleeping', 'watching a movie', 'talking to passengers' and 'working on a notebook'. Results show a significant difference between general relevancy and specific prioritisation of functions and function carriers. In this contribution, the setup of the study is described, the outcome exemplified and further research steps are deduced.

Keywords

User centred designRequirementsInnovationNon-driving-related activitiesAutomated Driving
Type
Article
Information
Proceedings of the Design Society: International Conference on Engineering Design , Volume 1 , Issue 1 , July 2019 , pp. 2893 - 2900
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
© The Author(s) 2019

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