• DocumentCode
    2776926
  • Title

    Brain signal pattern of engrossed subjects using near infrared spectroscopy (NIRS) and its application to TV commercial evaluation

  • Author

    Yoshioka, Mototaka ; Inoue, Tsuyoshi ; Ozawa, Jun

  • Author_Institution
    Adv. Technol. Res. Lab., Panasonic Corp., Kyoto, Japan
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this paper, we present near infrared spectroscopy (NIRS) signal patterns of subjects when they are focused on specific tasks. We determined that oxygenated hemoglobin in the frontal cortex decreased when the subjects were engrossed in tasks, and we propose an evaluation method for TV commercials based on the results. TV commercials are produced to be as attractive as possible and can increase consumer awareness of a particular product or its features. Our idea is based on the assumption that the attractiveness of a commercial can be estimated by the extent of decrease in oxygenated hemoglobin using NIRS, and the consumer´s awareness of the product´s features in TV commercials can be measured by analyzing the subject´s glancing regions using an eye-tracking system. We obtained good agreement between the correlation of awareness and focus, and the possibility of estimating these parameters using NIRS is suggested.
  • Keywords
    brain; infrared spectroscopy; marketing; neurophysiology; NIRS signal patterns; TV commercial evaluation; brain signal pattern; engrossed subjects; eye-tracking system; frontal cortex; near infrared spectroscopy; oxygenated hemoglobin; Absorption; Analysis of variance; Brain; Humans; Probes; Spectroscopy; TV; Absorption; Evaluation; Eye-gazing; Frontal cortex; Japanese Chess; Near Infrared Spectroscopy (NIRS); TV Commercial;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), The 2012 International Joint Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    2161-4393
  • Print_ISBN
    978-1-4673-1488-6
  • Electronic_ISBN
    2161-4393
  • Type

    conf

  • DOI
    10.1109/IJCNN.2012.6252752
  • Filename
    6252752