This paper is in the following e-collection/theme issue:

New Methods (944) Anxiety and Stress Disorders (1053) Digital Biomarkers and Digital Phenotyping (191) Digital Mental Health Interventions, e-Mental Health and Cyberpsychology (1514) Occupational Health and Ergonomics/Prevention at the Workplace (238)

Published on in Vol 23, No 4 (2021): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27121, first published .
Computer Mouse Movements as an Indicator of Work Stress: Longitudinal Observational Field Study

Computer Mouse Movements as an Indicator of Work Stress: Longitudinal Observational Field Study

Computer Mouse Movements as an Indicator of Work Stress: Longitudinal Observational Field Study

Authors of this article:

Nicolas Banholzer1 Author Orcid Image ;   Stefan Feuerriegel1 Author Orcid Image ;   Elgar Fleisch2, 3 Author Orcid Image ;   Georg Friedrich Bauer4 Author Orcid Image ;   Tobias Kowatsch2, 3 Author Orcid Image
Article Authors Cited by (13) Tweetations (16) Metrics

Journals

  1. Naegelin M, Weibel R, Kerr J, Schinazi V, La Marca R, von Wangenheim F, Hoelscher C, Ferrario A. An interpretable machine learning approach to multimodal stress detection in a simulated office environment. Journal of Biomedical Informatics 2023;139:104299 View
  2. Paula L, Pfeiffer Salomão Dias L, Francisco R, Barbosa J. Analysing IoT Data for Anxiety and Stress Monitoring: A Systematic Mapping Study and Taxonomy. International Journal of Human–Computer Interaction 2024;40(5):1174 View
  3. Stephan P, Wortmann F, Koch K. Understanding the Interactions Between Driving Behavior and Well-being in Daily Driving: Causal Analysis of a Field Study. Journal of Medical Internet Research 2022;24(8):e36314 View
  4. Antal M, Buza K, Fejer N. SapiAgent: A Bot Based on Deep Learning to Generate Human-Like Mouse Trajectories. IEEE Access 2021;9:124396 View
  5. Langholm C, Kowatsch T, Bucci S, Cipriani A, Torous J. Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research. Digital Biomarkers 2023:104 View
  6. Magtibay K, Umapathy K. A Review of Tools and Methods for Detection, Analysis, and Prediction of Allostatic Load Due to Workplace Stress. IEEE Transactions on Affective Computing 2024;15(1):357 View
  7. VANTTOLA P, VILDJIOUNAITE E, SALLINEN M, KALLIO J, PAAJANEN T, LUKANDER K, KYLLÖNEN V, PUTTONEN S. Different Methods to Detect Stress in Knowledge Workers: A Pilot Study for Long-term Monitoring. Journal of UOEH 2024;46(1):103 View
  8. Masri G, Al-Shargie F, Tariq U, Almughairbi F, Babiloni F, Al-Nashash H. Mental Stress Assessment in the Workplace: A Review. IEEE Transactions on Affective Computing 2024;15(3):958 View
  9. Freihaut P, Göritz A. Show me How You Use Your Mouse and I Tell You How You Feel? Sensing Affect With the Computer Mouse. IEEE Transactions on Affective Computing 2024;15(3):1490 View

Books/Policy Documents

  1. Keller R, Wangenheim F, Mair J, Kowatsch T. Digital Therapeutics for Mental Health and Addiction. View
  2. Kowatsch T, Fleisch E. Connected Business. View
  3. Mezieres I, Gorrab A, Deneckère R, Ben Rabah N, Le Grand B. Advances in Computational Collective Intelligence. View