• DocumentCode
    154842
  • Title

    Subjective mental workload measurement using video fragments

  • Author

    Christoph, M. ; van Nes, N.

  • fYear
    2014
  • fDate
    8-11 Oct. 2014
  • Firstpage
    2263
  • Lastpage
    2264
  • Abstract
    Mental workload has been a relevant topic in traffic safety research for decades. In general workload measurements are expensive and time consuming. This paper presents the first steps in the development of a cheaper and quicker mental workload measurement method. It uses short video fragments of driving situations that are shown to the subject, after watching the video fragment the subject is asked to indicate their perceived mental effort if they would be driving in those situations themselves. The experiment revealed significant effects on mental workload for traffic density, age, weather, presence of Heavy Goods Vehicles and presence of Vulnerable Road Users. These results are in line with previous workload studies. The first results of the Video based Workload Measurement method (VWM) presented in this paper are promising as a sensitive and valid method for determining workload. However, in order to adequately attain its effectiveness, more research is needed.
  • Keywords
    cognition; driver information systems; road traffic; video signal processing; VWM; driver age; driving situations; heavy goods vehicle presence; perceived mental effort; short-video fragments; subjective mental workload measurement; traffic density; traffic safety research; video-based workload measurement method; vulnerable road user presence; weather condition; Accidents; Atmospheric measurements; Meteorology; Particle measurements; Roads; Senior citizens; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems (ITSC), 2014 IEEE 17th International Conference on
  • Conference_Location
    Qingdao
  • Type

    conf

  • DOI
    10.1109/ITSC.2014.6958047
  • Filename
    6958047