Applying hidden Markov models to visual activity analysis for simple digital control panel operations

Jerzy Grobelny and Rafał Michalski ()

No WORMS/17/06, WORking papers in Management Science (WORMS) from Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology

Abstract: The paper presents an application of Hidden Markov Models (HMM) to fixations’ sequences analysis. The examination concerns eye tracking data gathered during performing simple comparison and decision tasks for four versions of plain control panels. The panels displayed the target and current velocity either on a digital or analog (clock-face) speedometers. Subjects were to decide whether increase or decrease the current speed by pressing the appropriate button. The obtained results suggest that females, generally exhibit different covert attention patterns than men. Moreover, the article demonstrates the estimated four HMM with three hidden states for every examined control panels variant and provides discussion of the outcomes.

Keywords: Ergonomics; Control panel design; Human visual behavior; Human-computer interaction (search for similar items in EconPapers)
JEL-codes: C00 D24 D83 D87 D91 L15 L23 L86 M11 (search for similar items in EconPapers)
Pages: 10 pages
Date: 2017-06-15
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Citations: View citations in EconPapers (6)

Published in Grobelny J., Michalski R. (2017). Applying hidden Markov models to visual activity analysis for simple digital control panel operations. [In:] J. Świątek, Z. Wilimowska, L. Borzemski, A. Grzech (Ed.), Proceedings of 37th ISAT 2016 – Part III, Advances in Intelligent Systems and Computing 523, Springer, pp. 3-14. http://dx.doi.org/10.1007/978-3-319-28555-9_15

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https://worms.pwr.edu.pl/RePEc/ahh/wpaper/WORMS_17_06.pdf Final version, 2017 (application/pdf)

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Persistent link: https://EconPapers.repec.org/RePEc:ahh:wpaper:worms1706

DOI: 10.1007/978-3-319-28555-9_15

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