Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions

Complementary protective measures are of increasing importance with rising degree of automation. As free robots become part of our daily life in industry, on shop floors and beyond, the overall safety of persons has to be ensured. However, assessing the reliability of complementary safety functions...

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Autores principales:	Julian Zehetner, Ivo Häring, Ulrich Weber, Werner Riedel
Formato:	article
Lenguaje:	EN
Publicado:	Faculty of Engineering of University of Porto 2021
Materias:	emergency machine guarding eye-tracking human-machine interaction Industrial safety. Industrial accident prevention T55-55.3 Industrial hygiene. Industrial welfare HD7260-7780.8
Acceso en línea:	https://doaj.org/article/f0b8a6633985428ca821aa326b7a44ce
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spelling	oai:doaj.org-article:f0b8a6633985428ca821aa326b7a44ce2021-11-30T12:33:48ZEye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions2184-095410.24840/2184-0954_005.002_0001https://doaj.org/article/f0b8a6633985428ca821aa326b7a44ce2021-11-01T00:00:00Zhttps://ijooes.fe.up.pt/index.php/ijooes/article/view/716https://doaj.org/toc/2184-0954Complementary protective measures are of increasing importance with rising degree of automation. As free robots become part of our daily life in industry, on shop floors and beyond, the overall safety of persons has to be ensured. However, assessing the reliability of complementary safety functions remains a challenge, particularly when humans are in the loop. The paper shows how to use the eye-tracking methodology to gain data for assessing the reliability of the human interaction with machine interfaces for complementary protective measures. The paper first identifies factors relevant for eye-tracking, then selects related eye tracking test parameters and finally provides a systematic procedure to assess both, in particular regarding visibility and susceptibility. The methodology is applied and the parameter selection is validated. It is found that in particular the identified and measured parameters fixation count for area of interest (AOI) and the associated average visit duration can be used to assess the factor perceptibility. The parameter deviation of fixation can thereby be used to assess usability. Based on this, a full-scale eye-tracking assessment is proposed for the reliability of the interaction of humans with the machine interfaces of supplementary protective measures. In summary, the preliminary test run execution shows that eye-tracking technology is a promising method for measuring and quantifying the human reliability when interacting with safety-related human-machine interfaces.Julian ZehetnerIvo HäringUlrich WeberWerner RiedelFaculty of Engineering of University of Portoarticleemergency machine guardingeye-trackinghuman-machine interactionIndustrial safety. Industrial accident preventionT55-55.3Industrial hygiene. Industrial welfareHD7260-7780.8ENInternational Journal of Occupational and Environment Safety, Vol 5, Iss 2, Pp 1-13 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	emergency machine guarding eye-tracking human-machine interaction Industrial safety. Industrial accident prevention T55-55.3 Industrial hygiene. Industrial welfare HD7260-7780.8
spellingShingle	emergency machine guarding eye-tracking human-machine interaction Industrial safety. Industrial accident prevention T55-55.3 Industrial hygiene. Industrial welfare HD7260-7780.8 Julian Zehetner Ivo Häring Ulrich Weber Werner Riedel Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions
description	Complementary protective measures are of increasing importance with rising degree of automation. As free robots become part of our daily life in industry, on shop floors and beyond, the overall safety of persons has to be ensured. However, assessing the reliability of complementary safety functions remains a challenge, particularly when humans are in the loop. The paper shows how to use the eye-tracking methodology to gain data for assessing the reliability of the human interaction with machine interfaces for complementary protective measures. The paper first identifies factors relevant for eye-tracking, then selects related eye tracking test parameters and finally provides a systematic procedure to assess both, in particular regarding visibility and susceptibility. The methodology is applied and the parameter selection is validated. It is found that in particular the identified and measured parameters fixation count for area of interest (AOI) and the associated average visit duration can be used to assess the factor perceptibility. The parameter deviation of fixation can thereby be used to assess usability. Based on this, a full-scale eye-tracking assessment is proposed for the reliability of the interaction of humans with the machine interfaces of supplementary protective measures. In summary, the preliminary test run execution shows that eye-tracking technology is a promising method for measuring and quantifying the human reliability when interacting with safety-related human-machine interfaces.
format	article
author	Julian Zehetner Ivo Häring Ulrich Weber Werner Riedel
author_facet	Julian Zehetner Ivo Häring Ulrich Weber Werner Riedel
author_sort	Julian Zehetner
title	Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions
title_short	Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions
title_full	Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions
title_fullStr	Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions
title_full_unstemmed	Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions
title_sort	eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions
publisher	Faculty of Engineering of University of Porto
publishDate	2021
url	https://doaj.org/article/f0b8a6633985428ca821aa326b7a44ce
work_keys_str_mv	AT julianzehetner eyetrackingbasedquantificationofthesafetyofhumanmachineinterfacesofcomplementaryprotectivesystemfunctions AT ivoharing eyetrackingbasedquantificationofthesafetyofhumanmachineinterfacesofcomplementaryprotectivesystemfunctions AT ulrichweber eyetrackingbasedquantificationofthesafetyofhumanmachineinterfacesofcomplementaryprotectivesystemfunctions AT wernerriedel eyetrackingbasedquantificationofthesafetyofhumanmachineinterfacesofcomplementaryprotectivesystemfunctions
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Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions

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