Measuring information demand of a dynamic in-vehicle display while driving – A study evaluating the MARS (Masking Action Relevant Stimuli) method |
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| Institution: | 1. Adam Opel AG, IPC S4-01, Bahnhofsplatz, 65423 Ruesselsheim, Germany;2. University Wuerzburg, Roentgenring 11, 97070 Wuerzburg, Germany;3. University Freiburg, Engelbergerstraße 41, 79085 Freiburg, Germany;1. Queensland University of Technology (QUT), Centre for Accident Research and Road Safety – Queensland (CARRS-Q), 130 Victoria Park Road, Kelvin Grove, QLD, Australia;2. ARRB Group, 500 Burwood Highway, Vermont South, VIC 3133, Australia;1. Safety Research Unit, Department of Psychology, Middle East Technical University, Turkey;2. Department of Psychology, TOBB University of Economics and Technology, Turkey;3. Department of Psychology, Necmettin Erbakan University, Turkey;4. Department of Psychology, İzmir Bakırçay University, Turkey;5. Traffic Research Centre of Finland Ltd, Finland;6. Tallinn University of Technology, Estonia;7. R.S.I. Road Safety Institute “Panos Mylonas”, Greece;8. Kosovo Association of Motorization, Belgium;9. Kazan Federal University, Russia;1. Dept. of Intelligent Mechanical Systems, Okayama University, Japan;2. Dept. of Industrial Engineering and Management Systems, University of Central Florida, United States;1. University of Massachusetts Amherst, 34 Marston Hall, Amherst, MA 01003, United States;2. University of Massachusetts Amherst, 142D Marston Hall, Amherst, MA 01003, United States;3. University of Massachusetts Amherst, 216 Marston Hall, Amherst, MA 01003, United States;4. University of Massachusetts Amherst, 214 Marston Hall, Amherst, MA 01003, United States;1. BMW AG, Knorrstrasse 147, 80788 Munich, Germany;2. Technical University Chemnitz, 09107 Chemnitz, Germany |
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| Abstract: | The MARS (Masking Action Relevant Stimuli) method assesses information demand for dynamic stimuli while driving. An action relevant stimulus is masked and the driver presses a button to unmask the stimulus for a limited period. We interpreted button presses as information demand. Following our previous research (Rittger, Kiesel, Schmidt, & Maag, 2014), the current study further evaluates the method. We applied the MARS method to a dynamic in-vehicle display containing recommendations from a traffic light assistant. In a driving simulator, drivers approached intersections with different traffic light phasing. The display either presented simple or complex information. In half of the drives, the participants used the MARS method. The study had a full within subjects design and fixations were recorded in all conditions. The results showed that the information demand varied according to the information in the display and the traffic light phase. A comparison of button presses with fixations showed that one unmasking interval came along with one fixation on the display. As a conclusion, the MARS method can distinguish between conditions with high and low information demand for the display. Button presses relate to fixations on the display. Hence, the MARS method is a promising tool to assess the information demand in dynamic environments and can be applied as an extension or alternative for eye tracking. |
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| Keywords: | Driver behavior Information processing Decision making Human-machine-interface |
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