Towards a Physiological Model of User Interruptability
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Prior research has linked several physiological signals-including heart rate, heart rate variability, electro-dermal activity, eye tracking, skin temperature, and EEG-to mental effort, cognitive load, task difficulty, emotions, and stress.
“Various studies have shown that biometric data such as heart rate (HR), heart rate variability (HRV), electro-dermal activity (EDA), eye tracking, skin temperature or electroencephalography (EEG) can be used to assess mental effort and cognitive load [85,66,28,13], task difficulty [79,22], emotions [48,27,62], or stress [29,70,84].”
From Sensing Interruptibility in the Office: A Field Study on the Use of Biometric and Computer Interaction Sensors (2018) · cites this paper as [13]
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References 29 · Cited by 40
- Authors
- Chen, D., Hart, J., & Vertegaal, R.
- Affiliations
- Queen's University (CA)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2007
- Pages
- 439-451
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1509042120
- Cited by
- 40
- References
- 29
- Citations by year
- 2026: 1 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 4 · 2019: 3 · 2018: 3 · 2017: 3 · 2016: 2 · 2015: 4 · 2013: 3 · 2012: 6
- FWCI
- 2.48
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Keywords
- physiological measures, heart rate variability, electromyography, availability prediction, physiological modeling, user task performance
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.
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