
Research Article
Eye-tracking Data, Complex Networks and Rough Sets: an Attempt Toward Combining Them
@INPROCEEDINGS{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}, proceedings={9th EAI International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)}, publisher={ACM}, proceedings_a={BICT}, 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
BICT
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.
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