Mental Stress Assessment in the Workplace: A Review
Workers with demanding jobs are at risk of experiencing mental stress, leading to decreased performance, mental illness, and disrupted sleep. To detect elevated stress levels in the workplace, studies have explored stress measurement from physiological, psychological, and behavioral perspectives. Th...
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| مؤلفون آخرون: | , , , , |
| التنسيق: | article |
| منشور في: |
2024
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/11073/26087 |
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إضافة وسم
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| _version_ | 1864513436223799296 |
|---|---|
| author | Masri, Ghinwa |
| author2 | Yahya, Fares Tariq, Usman Almughairbi, Fadwa Babiloni, Fabio Al-Nashash, Hasan |
| author2_role | author author author author author |
| author_facet | Masri, Ghinwa Yahya, Fares Tariq, Usman Almughairbi, Fadwa Babiloni, Fabio Al-Nashash, Hasan |
| author_role | author |
| dc.creator.none.fl_str_mv | Masri, Ghinwa Yahya, Fares Tariq, Usman Almughairbi, Fadwa Babiloni, Fabio Al-Nashash, Hasan |
| dc.date.none.fl_str_mv | 2024-09 2025-06-02T09:33:34Z 2025-06-02T09:33:34Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | G. Masri, F. Al-Shargie, U. Tariq, F. Almughairbi, F. Babiloni and H. Al-Nashash, "Mental Stress Assessment in the Workplace: A Review," in IEEE Transactions on Affective Computing, vol. 15, no. 3, pp. 958-976, July-Sept. 2024, doi: 10.1109/TAFFC.2023.3312762. 1949-3045 https://hdl.handle.net/11073/26087 10.1109/TAFFC.2023.3312762 |
| dc.language.none.fl_str_mv | en_US |
| dc.publisher.none.fl_str_mv | IEEE |
| dc.relation.none.fl_str_mv | https://doi.org/10.1109/TAFFC.2023.3312762 |
| dc.subject.none.fl_str_mv | Human factors Employment Occupational stress Stress Electroencephalography Electrocardiography Stress measurement Mental Stress Workplace Bio-signal Behavioral data Machine learning Stress mitigation |
| dc.title.none.fl_str_mv | Mental Stress Assessment in the Workplace: A Review |
| dc.type.none.fl_str_mv | Peer-Reviewed Published version info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | Workers with demanding jobs are at risk of experiencing mental stress, leading to decreased performance, mental illness, and disrupted sleep. To detect elevated stress levels in the workplace, studies have explored stress measurement from physiological, psychological, and behavioral perspectives. This paper reviews the assessment methods and strategies for mitigating mental stress in the workplace and provides recommendations for early detection and mitigation of mental stress. Among the modalities, Electroencephalography (EEG), Electrocardiography (ECG) and Galvanic Skin Response (GSR) were found to be the most used in assessing mental stress in the workplace. Nevertheless, these modalities are sensitive to motion artifacts and are difficult to be integrated into real work environments. To further improve stress level assessment in the workplace, multimodality integration with a reduced number of sensors such as EEG, GSR and Functional near infrared spectroscopy (fNIRS) can be utilized. This would lead to developing strategies for stress management in real-time. Furthermore, combining EEG with fNIRS would improve source localization of mental stress. To mitigate stress, we recommend developing a closed loop system that incorporates brain data acquisition systems and machine learning with physical stimulations such as audio Binaural Beats Stimulation and/or Transcranial Electric Stimulation. |
| format | article |
| id | aus_cda2e49709cd6d5e418783922e46096f |
| identifier_str_mv | G. Masri, F. Al-Shargie, U. Tariq, F. Almughairbi, F. Babiloni and H. Al-Nashash, "Mental Stress Assessment in the Workplace: A Review," in IEEE Transactions on Affective Computing, vol. 15, no. 3, pp. 958-976, July-Sept. 2024, doi: 10.1109/TAFFC.2023.3312762. 1949-3045 10.1109/TAFFC.2023.3312762 |
| language_invalid_str_mv | en_US |
| network_acronym_str | aus |
| network_name_str | aus |
| oai_identifier_str | oai:repository.aus.edu:11073/26087 |
| publishDate | 2024 |
| publisher.none.fl_str_mv | IEEE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
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| spelling | Mental Stress Assessment in the Workplace: A ReviewMasri, GhinwaYahya, FaresTariq, UsmanAlmughairbi, FadwaBabiloni, FabioAl-Nashash, HasanHuman factorsEmploymentOccupational stressStressElectroencephalographyElectrocardiographyStress measurementMental StressWorkplaceBio-signalBehavioral dataMachine learningStress mitigationWorkers with demanding jobs are at risk of experiencing mental stress, leading to decreased performance, mental illness, and disrupted sleep. To detect elevated stress levels in the workplace, studies have explored stress measurement from physiological, psychological, and behavioral perspectives. This paper reviews the assessment methods and strategies for mitigating mental stress in the workplace and provides recommendations for early detection and mitigation of mental stress. Among the modalities, Electroencephalography (EEG), Electrocardiography (ECG) and Galvanic Skin Response (GSR) were found to be the most used in assessing mental stress in the workplace. Nevertheless, these modalities are sensitive to motion artifacts and are difficult to be integrated into real work environments. To further improve stress level assessment in the workplace, multimodality integration with a reduced number of sensors such as EEG, GSR and Functional near infrared spectroscopy (fNIRS) can be utilized. This would lead to developing strategies for stress management in real-time. Furthermore, combining EEG with fNIRS would improve source localization of mental stress. To mitigate stress, we recommend developing a closed loop system that incorporates brain data acquisition systems and machine learning with physical stimulations such as audio Binaural Beats Stimulation and/or Transcranial Electric Stimulation.American University of SharjahCollege of EngineeringDepartment of Electrical EngineeringIEEE2025-06-02T09:33:34Z2025-06-02T09:33:34Z2024-09Peer-ReviewedPublished versioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfG. Masri, F. Al-Shargie, U. Tariq, F. Almughairbi, F. Babiloni and H. Al-Nashash, "Mental Stress Assessment in the Workplace: A Review," in IEEE Transactions on Affective Computing, vol. 15, no. 3, pp. 958-976, July-Sept. 2024, doi: 10.1109/TAFFC.2023.3312762.1949-3045https://hdl.handle.net/11073/2608710.1109/TAFFC.2023.3312762en_UShttps://doi.org/10.1109/TAFFC.2023.3312762oai:repository.aus.edu:11073/260872025-06-02T11:56:28Z |
| spellingShingle | Mental Stress Assessment in the Workplace: A Review Masri, Ghinwa Human factors Employment Occupational stress Stress Electroencephalography Electrocardiography Stress measurement Mental Stress Workplace Bio-signal Behavioral data Machine learning Stress mitigation |
| status_str | publishedVersion |
| title | Mental Stress Assessment in the Workplace: A Review |
| title_full | Mental Stress Assessment in the Workplace: A Review |
| title_fullStr | Mental Stress Assessment in the Workplace: A Review |
| title_full_unstemmed | Mental Stress Assessment in the Workplace: A Review |
| title_short | Mental Stress Assessment in the Workplace: A Review |
| title_sort | Mental Stress Assessment in the Workplace: A Review |
| topic | Human factors Employment Occupational stress Stress Electroencephalography Electrocardiography Stress measurement Mental Stress Workplace Bio-signal Behavioral data Machine learning Stress mitigation |
| url | https://hdl.handle.net/11073/26087 |