Abstract
The study shows the application of hidden Markov models (HMMs) for the analysis of eye ball movement fixations. The registered visual activity concerns pairwise comparisons of simple advertisement leaflets, differed in their layout orientation and captions’ styles. A simulation experiment was conducted to specify the most appropriate HMMs in terms of information criteria. Six best models were discussed in detail. The identified hidden states together with transition and emission probabilities were the basis of subjects’ visual behavior hypothetical interpretations.
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Acknowledgments
The research was partially financially supported by Polish National Science Centre Grant No. 2017/27/B/HS4/01876. The experiment was conducted with an eye-tracking system made available by the Laboratory of Information Systems Quality of Use which is a part of a BIBLIOTECH project co-funded by the European Union through the European Regional Development Fund under the Operational Programme Innovative Economy 2007–2013.
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Grobelny, J., Michalski, R. (2021). Hidden Markov Models for Visual Processing of Marketing Leaflets. In: Cassenti, D., Scataglini, S., Rajulu, S., Wright, J. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1206. Springer, Cham. https://doi.org/10.1007/978-3-030-51064-0_10
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