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 290
  • Downloads 0

How To Cite

Boleslaw Jaskula, Jaroslaw Szkola, Krzysztof Pancerz, Aneta Derkacz (2016). Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them. EAI Endorsed Transactions on Creative Technologies, 3(7), -. https://europub.co.uk/articles/-A-45852