A Systematic Literature Review on Affective Computing Techniques for Workplace Stress Detection

Author:

Mezieres Iris,Gorrab Abir,Deneckère Rébecca,Ben Rabah Nourhène,Le Grand Bénédicte

Publisher

Springer Nature Switzerland

Reference45 articles.

1. Jeanguenat, A.M., Dror, I.E.: Human factors effecting forensic decision making: workplace stress and well-being. J. Forensic Sci. 63(1), 258–261 (2018)

2. Mittal, S., Mahendra, S., Sanap, V., Churi, P.: How can machine learning be used in stress management: a systematic literature review of applications in workplaces and education. Int. J. Inf. Manage. Data Insights 2(2), 100110 (2022)

3. Carneiro, D., Novais, P., Augusto, J.C., Payne, N.: New methods for stress assessment and monitoring at the workplace. IEEE Trans. Affect. Comput. 10(2), 237–254 (2017)

4. Munoz, S., Iglesias, C.Á., Mayora, O., Osmani, V.: Prediction of stress levels in the workplace using surrounding stress. Inf. Process. Manage. 59(6), 103064 (2022)

5. Richardson, S.: Affective computing in the modern workplace. Bus. Inf. Rev. 37(2), 78–85 (2020)

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