• DocumentCode
    3751526
  • Title

    Predicting Consumer´s Behavior Using Eye Tracking Data

  • Author

    Shruti Goyal;K. P. Miyapuram;Uttama Lahiri

  • Author_Institution
    Centre for Cognitive Sci., Indian Inst. of Technol., Gandhinagar, Gandhinagar, India
  • fYear
    2015
  • Firstpage
    126
  • Lastpage
    129
  • Abstract
    This study aimed at using eye tracking data to predict consumer´s decisions. Previous research [1, 2] suggests that consumer´s gaze is actively involved in preference formation. First fixation and the total fixation duration are the commonly reported measures of visual attention in consumer research. However other measures of eye tracking data like Fixation Count, Time to First Fixation have not been investigated much for their role in consumer decision. Purpose of this study was to investigate the components of eye tracking data that can predict consumer´s final choices with better precision. The results suggest that fixation counts and total fixation duration predict consumer´s decision to a large extent.
  • Keywords
    "Gaze tracking","Visualization","Decision making","Atmospheric measurements","Particle measurements","Analysis of variance","Time measurement"
  • Publisher
    ieee
  • Conference_Titel
    Soft Computing and Machine Intelligence (ISCMI), 2015 Second International Conference on
  • Type

    conf

  • DOI
    10.1109/ISCMI.2015.26
  • Filename
    7414688