Workplace Indicators of Mood: Behavioral and Cognitive Correlates of Mood Among Information Workers
Open accessAbstract
Positive wellbeing in the workplace is tied to better health. However, lack of wellbeing in the workplace is a serious problem in the U.S, is rising continually, and can lead to poor health conditions. In this study we investigate factors that might be associated with workplace wellbeing. We report on an in situ study in the workplace of 40 information workers whose mood was tracked for 12 days. We used a mixed-methods study using Fitbit actigraphs to measure sleep and physical activity, computer logging, and repeated daily surveys. We found that sleep and perceived productivity are positively correlated with affect balance (the balance of positive and negative affect), whereas concentration difficulty, and amount of time on workplace email, are negatively correlated with affect balance. Our model explains 48% of the variance of workplace mood. We discuss the value and challenges of multi-faceted measures of health as we move towards designing interdisciplinary digital health research.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Prior work indicates that sleep strongly affects productivity and mood.
“A further and not yet fully studied factor of interruptibility is sleep, which has been shown to have a big impact on productivity and mood [68,80,49].”
From Sensing Interruptibility in the Office: A Field Study on the Use of Biometric and Computer Interaction Sensors (2018) · cites this paper as [49]
Section 5.1 reports that more sleep was associated with more positive mood the next day. The Discussion (§6) suggests that poor sleep can lead to lower productivity and more negative mood, but presents this as a possible pathway requiring further study, not an established large causal effect on both outcomes. Page numbers are not available in our copy. (LLM, conf=0.87)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 44 · Cited by 24
Research works printed but not linked: 1
- Tudor-Locke, C. and Bassett Jr, D.R., 2004. How many steps/day are enough?. Sports medicine, 34(1), pp.1-8.
- Authors
- Mark, G., Czerwinski, M., Iqbal, S., & Johns, P.
- Affiliations
- University of California, Irvine (US)
- Microsoft (United States) (US)
- Venue
- Proceedings of the 6th International Conference on Digital Health Conference
- Publisher
- ACM
- Published
- 2016-04-11
- Pages
- 29-36
- OpenAlex
- W2340599912
- Cited by
- 24
- References
- 44
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 5 · 2022: 3 · 2021: 2 · 2020: 5 · 2019: 3 · 2018: 2 · 2017: 2
- FWCI
- 14.63
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- International Conference on Digital Health (publishedVersion)
- Funders
- National Science Foundation (1218705)
- Topics
- Health Sciences › Health Professions › General Health Professions › Workplace Health and Well-being
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
- Keywords
- employee well-being, mood, affect balance, positive and negative affect, sleep, physical activity, perceived productivity, concentration difficulties, workplace email, information professionals, digital health
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
