Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations

Berna Ulutas, Firat Ozkan and Rafał Michalski ()

No WORMS/20/11, WORking papers in Management Science (WORMS) from Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology

Abstract: Visual inspection is used in many areas due to the potential high costs of inspection error such as injury, fatality, loss of expensive equipment, scrapped items, rework, or failure to procure repeat business. This study presents an application of hidden Markov models (HMM) to fixations’ sequences analysis during visual inspection of front panels in a home appliance facility. The eye tracking data are gathered when quality control operators perform their tasks.The results support the difference between expert and novice operator.Moreover, the article demonstrates fourHMMswith two and three hidden states both for novice and experienced operators and provides analysis and discussion of the outcomes.

Keywords: Human factors; Visual inspection; Human visual behavior; Hidden markov models; Eeye-tracking technology (search for similar items in EconPapers)
JEL-codes: C00 D01 D03 D24 D81 D83 D87 D91 L15 L16 L23 M11 (search for similar items in EconPapers)
Pages: 17 pages
Date: 2020-08-17
New Economics Papers: this item is included in nep-ore
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Published in Ulutas, B. H., Ozkan, N. F., & Michalski, R. (2020). Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations. Central European Journal of Operations Research, Springer, 28, 761-777. http://dx.doi.org/10.1007/s10100-019-00628-x

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https://worms.pwr.edu.pl/RePEc/ahh/wpaper/WORMS_20_11.pdf Final version, 2020 (application/pdf)

Related works:
Journal Article: Application of hidden Markov models to eye tracking data analysis of visual quality inspection operations (2020)
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Persistent link: https://EconPapers.repec.org/RePEc:ahh:wpaper:worms2011

DOI: 10.1007/s10100-019-00628-x

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