Research Article
Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them
@ARTICLE{10.4108/eai.3-12-2015.2262487, author={Boleslaw Jaskula and Jaroslaw Szkola and Krzysztof Pancerz and Aneta Derkacz}, title={Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them}, journal={EAI Endorsed Transactions on Creative Technologies}, volume={3}, number={7}, publisher={ACM}, journal_a={CT}, year={2016}, month={5}, keywords={eye-tracking, complex networks, rough sets}, doi={10.4108/eai.3-12-2015.2262487} }- Boleslaw Jaskula
Jaroslaw Szkola
Krzysztof Pancerz
Aneta Derkacz
Year: 2016
Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them
CT
EAI
DOI: 10.4108/eai.3-12-2015.2262487
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.
Copyright © 2015 K. Pancerz et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
