In recent years, autonomous driving technologies are being developed for cars and personal mobility devices, including electric wheelchairs for elderly and disabled persons. Most relevant research focuses on the efficiency and safety of autonomous driving. However, passenger characteristics, in terms of ride comfort in an autonomous wheelchair, have not been investigated with regard to safety and comfort, depending on each passenger's driving experience, habits, knowledge, personality, and preference. There are still few studies on the optimization of autonomous driving control reflecting passenger characteristics and different stress factors during the ride. In this study, passenger stress characteristics were objectively analyzed using physiological indices such as heart rate and galvanic skin response, during autonomous wheelchair usages, as well as using different types of stress factors. Two different experimental results from 12 participants suggest that there are always at least two types of passengers: one who experiences stress and the other who does not, depending on the stress factors considered. Moreover, with regard to the classification result for the stress reduction method, there are two types of passenger groups, for whom the solution method is, respectively, either effective or ineffective.


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    Titel :

    Evaluating passenger characteristics for ride comfort in autonomous wheelchairs


    Beteiligte:
    Sawabe, Taishi (Autor:in) / Okajima, Tomoya (Autor:in) / Kanbara, Masayuki (Autor:in) / Hagita, Norihiro (Autor:in)


    Erscheinungsdatum :

    2017-10-01


    Format / Umfang :

    735077 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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