• DocumentCode
    3685828
  • Title

    Towards the assessment of listening effort in real life situations: Mobile EEG recordings in a multimodal driving situation

  • Author

    Angela Damian;Farah I. Corona-Strauss;Ronny Hannemann;Daniel J. Strauss

  • Author_Institution
    Systems Neuroscience and Neurotechnology Unit at the Neurocenter, Saarland University and Saarland University of Applied Sciences, Homburg/Saar, Germany
  • fYear
    2015
  • Firstpage
    8123
  • Lastpage
    8126
  • Abstract
    The EEG estimation of listening effort has been proven to efficiently map subjectively perceived effort on an objective scale. However, it has mostly been performed in controlled audiometric laboratory environments. In this study, we investigated the feasibility of the EEG listening effort assessment in a multisensory demanding environment. For this purpose, two mobile EEG acquisition systems were used to extract the objective listening effort of the ongoing oscillatory activity (OLEosc) while driving. As an auditory paradigm was presented to trigger listening effort, the simulated driving scenario served as a competing task responding to different modalities. The OLEosc was compared with a subjective rating of the expended listening effort and the task performance. Furthermore, we considered time resolved listening effort profiles over the duration of the paradigm. The results showed that the practical assessment of listening effort in a multimodal real life setting is viable. The OLEosc could be extracted and followed the subjective listening effort. Moreover, the analysis of the dynamic listening effort profiles unveiled further information such as “surrender effects”, when the subjects ceased to solve the auditory task due to the intense multimodal load.
  • Keywords
    "Electroencephalography","Electrodes","Mobile communication","Visualization","Neuroscience","Digital audio broadcasting"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7320279
  • Filename
    7320279