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  • 2017

  • Ruscio, D. d.; Bos, A. J.; Ciceri, M. R. (2017): Distraction or cognitive overload? Using modulations of the autonomic nervous system to discriminate the possible negative effects of advanced assistance system. In: Accident Analysis & Prevention 103, S. 105-111. DOI: 10.1016/j.aap.2017.03.023

    DOI: https://doi.org/10.1016/j.aap.2017.03.023 

    Abstract: The interaction with Advanced Driver Assistance Systems has several positive implications for road safety, but also some potential downsides such as mental workload and automation complacency. Malleable attentional resources allocation theory describes two possible processes that can generate workload in interaction with advanced assisting devices. The purpose of the present study is to determine if specific analysis of the different modalities of autonomic control of nervous system can be used to discriminate different potential workload processes generated during assisted-driving tasks and automation complacency situations. Thirty-five drivers were tested in a virtual scenario while using head-up advanced warning assistance system. Repeated MANOVA were used to examine changes in autonomic activity across a combination of different user interactions generated by the advanced assistance system: (1) expected take-over request without anticipatory warning; (2) expected take-over request with two-second anticipatory warning; (3) unexpected take-over request with misleading warning; (4) unexpected take-over request without warning. Results shows that analysis of autonomic modulations can discriminate two different resources allocation processes, related to different behavioral performances. The user's interaction that required divided attention under expected situations produced performance enhancement and reciprocally-coupled parasympathetic inhibition with sympathetic activity. At the same time, supervising interactions that generated automation complacency were described specifically by uncoupled sympathetic activation. Safety implications for automated assistance systems developments are considered. (PsycINFO Database Record (c) 2018 APA, all rights reserved)

    Keywords: Assistenz, Autonomic Nervous System, Drivers, Driving Behavior, Expert Systems, Human Channel Capacity, Straßenverkehr

  • 2015

  • Moczek, Nicola (2015): Angewandte Umweltpsychologie: Drei Interviews mit Psychologen aus dem Arbeitsbereich Mensch-Maschine-Schnittstelle. In: Umweltpsychologie 19 (2)

    Abstract: Der Anwendungsbereich "Mensch-Maschine-Schnittstelle" (MMS) wird durch Interviews mit zwei Psychologinnen und einem Psychologen vorgestellt. Berichtet wird über ihren beruflichen Werdegang, ihre aktuellen Projekte, die eingesetzten Methoden und über die Herausforderungen, die technischen Umwelten so zu gestalten, dass Menschen möglichst einfach, angenehm und effektiv mit ihnen interagieren können. Es werden unter anderem die Gestaltung von Internetportalen, Mobilität und Fahrassistenzsysteme und die Möglichkeiten der Energieeinsparungen bei U-Bahnen besprochen. Fragen nach der beruflichen Identität sowie nach Möglichkeiten und Grenzen des kollegialen Austauschs runden die Gespräche ab.

    Keywords: Assistenz, Drivers, Environmental Planning, Human Computer Interaction, Human Factors Engineering, Human Machine Systems, Human Machine Systems Design, Mensch-Roboter-Interaktion, Professional Identity, Psychologists, Public Transportation, Urban Environments, Websites
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