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How to Work in the Car of the Future?

A Neuroergonomical Study Assessing Concentration, Performance and Workload Based on Subjective, Behavioral and Neurophysiological Insights
 
: Pollmann, Kathrin; Stefani, Oliver; Bengsch, Amelie; Peissner, Matthias; Vukelic, Mathias

:

Brewster, Stephen (General Chair) ; Association for Computing Machinery -ACM-:
CHI 2019, Conference on Human Factors in Computing Systems. Proceedings : May 4-9, 2019, Glasgow, Scotland UK; Weaving the Threads of CHI
New York: ACM, 2019
ISBN: 978-1-4503-5970-2
Art. 54, 14 S.
Conference on Human Factors in Computing Systems (CHI) <2019, Glasgow>
Englisch
Konferenzbeitrag
Fraunhofer IAO ()

Abstract
Autonomous driving provides new opportunities for the use of time during a car ride. One such important scenario is working. We conducted a neuroergonomical study to compare three configurations of a car interior (based on lighting, visual stimulation, sound) regarding their potential to support productive work. We assessed participants‘ concentration, performance and workload with subjective, behavioral and EEG measures while they carried out two different concentration tasks during simulated autonomous driving. Our results show that a configuration with a large-area, bright light with high blue components, and reduced visual and auditory stimuli promote performance, quality, efficiency, increased concentration and lower cognitive workload. Increased visual and auditory stimulation paired with linear, darker light with very few blue components resulted in lower performance, reduced subjective concentration, and higher cognitive workload, but did not differ from a normal car configuration. Our multi-method approach thus reveals possible car interior configurations for an ideal workspace.

: http://publica.fraunhofer.de/dokumente/N-552224.html