Abstract
Eye tracking technologies are widely used in studies on Human-Computer Interaction (HCI). To get a better understanding of TV customer experience, a study was conducted at the BT Ireland Innovation Centre in which an eye tracker was used to record user interactions with a video-on-demand application, the BT Player. This paper presents the analysis of eye movement data integrated with the layout information from the BT Player. A Discrete Time-Markov Chain is applied to the dataset as the eye tracker records each gaze movement at a particular frequency, which can be regarded time-discrete. The Markov model is found to fit well to the dataset and reveals new insights, including the most likely gaze trajectory and how some application features attract attention in preference to others. The analysis has also identified several potential areas for further work.
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