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

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 a...

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Bibliographic Details
Published inCentral European journal of operations research Vol. 28; no. 2; pp. 761 - 777
Main Authors Ulutas, Berna Haktanirlar, Özkan, N. Fırat, Michalski, Rafał
Format Journal Article
LanguageEnglish
Published Berlin/Heidelberg Springer Berlin Heidelberg 01.06.2020
Springer
Springer Nature B.V
Subjects
Business and Management
Data analysis
Eye
Eye injuries
Eye movements
Hidden Markov models
Inspection
Markov chains
Methods
Movements
Operations research
Operations Research/Decision Theory
Operators
Original Article
Quality control
Tracking
Turkey
Human visual behavior
Hidden Markov models
Human factors
Visual inspection
Eye tracking technology
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Summary: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 four HMMs with two and three hidden states both for novice and experienced operators and provides analysis and discussion of the outcomes.
ISSN:1435-246X
1613-9178
DOI:10.1007/s10100-019-00628-x