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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculty of Engineering of University of Porto
2021-11-01
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| Series: | International Journal of Occupational and Environment Safety |
| Subjects: | |
| Online Access: | https://ijooes.fe.up.pt/index.php/ijooes/article/view/716 |
| _version_ | 1818401858512748544 |
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| author | Julian Zehetner Ivo Häring Ulrich Weber Werner Riedel |
| author_facet | Julian Zehetner Ivo Häring Ulrich Weber Werner Riedel |
| author_sort | Julian Zehetner |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-12-14T07:59:09Z |
| format | Article |
| id | doaj.art-f0b8a6633985428ca821aa326b7a44ce |
| institution | Directory Open Access Journal |
| issn | 2184-0954 |
| language | English |
| last_indexed | 2024-12-14T07:59:09Z |
| publishDate | 2021-11-01 |
| publisher | Faculty of Engineering of University of Porto |
| record_format | Article |
| series | International Journal of Occupational and Environment Safety |
| spelling | doaj.art-f0b8a6633985428ca821aa326b7a44ce2022-12-21T23:10:29ZengFaculty of Engineering of University of PortoInternational Journal of Occupational and Environment Safety2184-09542021-11-015211310.24840/2184-0954_005.002_0001570Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functionsJulian Zehetner0https://orcid.org/0000-0001-5508-4959Ivo Häring1https://orcid.org/0000-0002-0318-6133Ulrich Weber2Werner Riedel3Hochschule Furtwangen, Futwangen, GERFraunhofer EMI, Freiburg, GEHochschule Furtwangen, Futwangen, GERFraunhofer EMI, Freiburg, GEComplementary 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.https://ijooes.fe.up.pt/index.php/ijooes/article/view/716emergency machine guardingeye-trackinghuman-machine interaction |
| spellingShingle | Julian Zehetner Ivo Häring Ulrich Weber Werner Riedel Eye-tracking based quantification of the safety of human-machine interfaces of complementary protective system functions International Journal of Occupational and Environment Safety emergency machine guarding eye-tracking human-machine interaction |
| title | 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_short | 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 |
| topic | emergency machine guarding eye-tracking human-machine interaction |
| url | https://ijooes.fe.up.pt/index.php/ijooes/article/view/716 |
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