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Assessment of TV advertisement effectiveness through audience eye movements


Assessment of TV advertisement effectiveness through audience eye movements

Jin, Shize (2011) Assessment of TV advertisement effectiveness through audience eye movements. Masters thesis, Concordia University.

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Jin_MASc_S2011.pdf - Accepted Version


The evaluation of advertisement effectiveness during the advertisement design phase and pre-launch phase is critical for the advertisement’s success in the targeted market. This evaluation should predict advertisement’s final performance as accurately as possible. In today’s advertisement business, questionnaire-based evaluation methods, such as attitude and opinion rating are widely used. To obtain good survey results, high quality questionnaires and proper interviewing procedures have to be developed with the support of the competent execution and supervision. These activities are usually costly even though some of them can be conducted online. We study the feasibility and effectiveness of assessing ad through capturing and analyzing the audiences’ eye movements. We assume that some attributes of audiences’ eye movements are correlated to their visual attention defined in the context of TV ad effectiveness. To validate our research hypotheses, experiments were conducted. In the experiments, subjects were required to watch several TV ads in sequence and the subjects’ eye movement data were collected simultaneously. By analyzing the data patterns and comparing them with the effectiveness evaluation obtained from questionnaire-based method, we found that the proposed method produces similar evaluations to those resulted from the traditional attitude and opinion rating method.

Divisions:Concordia University > Gina Cody School of Engineering and Computer Science > Concordia Institute for Information Systems Engineering
Item Type:Thesis (Masters)
Authors:Jin, Shize
Institution:Concordia University
Degree Name:M.A. Sc.
Program:Quality Systems Engineering
Date:April 2011
Thesis Supervisor(s):Zeng, Yong and Wang, Chun
ID Code:7362
Deposited By: SHI ZE JIN
Deposited On:09 Jun 2011 14:42
Last Modified:18 Jan 2018 17:30
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