Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them
Journal Title: EAI Endorsed Transactions on Creative Technologies - Year 2016, Vol 3, Issue 7
Abstract
Eye-tracking sequences can be considered in terms of complex networks. On the basis of complex network representation of eye-tracking data, we define a measure, derived from rough set theory, for assessing the cohesion of sacade connections between object components identified in visual stimuli used in eye-tracking experiments. Theoretical foundations given in the paper are supplemented with a numerical example explaining the proposed approach.
Authors and Affiliations
Boleslaw Jaskula, Jaroslaw Szkola, Krzysztof Pancerz, Aneta Derkacz
Keywords
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- EP ID EP45852
- DOI http://dx.doi.org/10.4108/eai.3-12-2015.2262487
- Views 261
- Downloads 0
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Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them
Eye-tracking sequences can be considered in terms of complex networks. On the basis of complex network representation of eye-tracking data, we define a measure, derived from rough set theory, for assessing the cohesion o...