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    The full automated vehicle as the workplace of the future – survey of critical factors for the realization of safe and productive office work in automated vehicles.

    Due to increasing automation, vehicles will be more than just a means of transport in the future. Prof. Andreas Riener and his former Ph.D. student Clemens Schartmüller are focusing their research on solutions for highly automated vehicles as places for work and wellbeing. The researchers with a background in human-machine interaction made this BayIntAn-funded journey to initiate cooperation with academic institutions in the US and visited the University of New Hampshire, Wellesley College, and Harvard Business School (in NH/Boston). The program included workshops and meetings with professors and students as well as lab visits and discussions with laboratory engineers.

    In concrete terms: a) guest lectures were given, b) workshops were organized to generate ideas and deepen cooperation, c) problems and possible solutions in the subject area were discussed, and d) concrete project ideas were specified. As a first action, a joint online study (questionnaire) on the acceptance and requirements of “well-being and work in automated vehicles” will be carried out. The strategic, organizational, and methodical planning was carried out during the visit. Further on, during the CHI’2020 conference, an international SIG (Special Interest Group) on Work and Well-being in Automated Vehicles was founded and the idea was born to conduct another user study to identify international preferences regarding the “workplace highly automated vehicle” (using Augmented Reality) both in the USA and in Germany. Recently, another joint workshop in this topic area was submitted to the ACM AutomotiveUI’20 conference and will be held (virtually) in September. To further promote research and teaching, the continuation of the NSF-funded doctoral student exchange program between the USA and Europe (Germany) and a joint project proposal in the upcoming “Horizon Europe” funding line was discussed.

    Project Duration

    March 1st, 2020 – March 14th, 2020

    Project Partners

    •  University of New Hampshire

    Granted Fund

    5780.00 Euro


    Bayerische Forschungsallianz (BayFOR) GmbH