AUTOMATING THE PROCESS OF GAZE TRACKING DATA USING SOFT CLUS TERING

Jeevithashree, D and Ray, Pallavi and Natarajan, P and Pradipta, Biswas (2017) AUTOMATING THE PROCESS OF GAZE TRACKING DATA USING SOFT CLUS TERING. In: International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT), JUL 06-07, 2017, Kannur, INDIA, pp. 449-456.

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Abstract

The aim of the paper is to automate the processing of gaze tracking data through soft clustering techniques. Standard analysis software for eye gaze tracking data requires users to define areas of interest, which may not be best option for exploratory analysis, where users may want to analyze eye gaze tracking data to know the area of interest. We have presented results on using Fuzzy c-means and Expectation Maximization algorithms on gaze tracking data and using an entropy based cluster validation index, we tried to automate identification of areas of interest. In our study, data from search task in digitally rendered 2D architectural plans have been explored and results indicated that irrespective of clustering technique, users fixated attention only 2 or 3 times for individual image. We have also presented GUI of a tool that can automatically identify areas of interest for any gaze tracking data sample using FCM or EM Algorithms.

Item Type:	Conference Proceedings
Publisher:	IEEE
Additional Information:	Copy right for this article belong to IEEE
Keywords:	Eye Gaze Tracker; Soft Clustering; Validation Metric; Human Computer Interaction(HCI); Visual Search Behaviour
Department/Centre:	Division of Mechanical Sciences > Centre for Product Design & Manufacturing
Date Deposited:	28 Sep 2018 15:24
Last Modified:	28 Sep 2018 15:24
URI:	http://eprints.iisc.ac.in/id/eprint/60771

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