Detecting phasic lapses in alertness using pupillometric measures
Abstract
Small, nonreflexive pupillary changes are robust physiological indicators of cognitive activity. In the present paper, we examined whether measures of pupillary changes could be used to detect phasic lapses in alertness during a vigilance task. A polynomial curve-fitting method for quantifying parameters from single task-evoked pupillary responses (TEPRs) is described. The TEPR parameters associated with long latency responses (indicating low alertness) were compared to the TEPR parameters associated with normal latency responses (indicating an alert state) within a multilevel modeling framework. Three parameters, pupil diameter, linear pupil dilation rate and curvilinear pupil dilation rate, significantly differed between the long latency and normal latency response types. The results provide preliminary evidence that these parameters would be useful neurocognitive markers of operator state in a bio-behavioral alertness monitoring system.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
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?
Drowsiness during routine tasks such as simulated driving is associated with wide variations in arousal and performance reflected by large pupil diameter fluctuations.
“In human studies, drowsiness during the performance of a routine task, such as simulated driving, can be associated with wide variations in arousal and performance that are reflected by large fluctuations in pupil diameter”
From Waking state: rapid variations modulate neural and behavioral responses (2015) · cites this paper as Kristjansson et al., 2009
Cites
Hierarchical Linear Models: Applications and Data Analysis Methods.
Longford, N. T., Bryk, A. S., & Raudenbush, S. W. (1993) · Contemporary Sociology A Journal of Reviews · doi:10.2307/2075823 · Cited by 18,768 · see citing works
Hierarchical Linear Models: Applications and Data Analysis Methods
Davidian, M. (2003) · Journal of the American Statistical Association · doi:10.1198/jasa.2003.s288 · Cited by 13,820 · see citing works
(2001) · doi:10.1017/cbo9780511546396 · Cited by 4,482 · see citing works
Cacioppo, J. T., Tassinary, L. G., Berntson, G. G., Shan, H., Mason, P., Kolb, B., Whishaw, I. Q., Geuter, S., Lindquist, M. A., Wager, T. D., et al. (2016) · Cambridge University Press eBooks · doi:10.1017/9781107415782 · Cited by 2,032 · see citing works
Self-citationTask-evoked pupillary responses, processing load, and the structure of processing resources.
Beatty, J. (1982) · Psychological Bulletin · doi:10.1037/0033-2909.91.2.276 · Cited by 1,959 · see citing works
Dinges, D. F., & Powell, J. W. (1985) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03200977 · Cited by 1,750 · see citing works
Duncan, T. E., Duncan, S. C., & Strycker, L. A. (1999) · Medical Entomology and Zoology · Cited by 1,120 · see citing works
The Breakdown of Vigilance during Prolonged Visual Search
Mackworth, N. H. (1948) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470214808416738 · Cited by 1,040 · see citing works
Loeb, M., Davies, D. R., & Parasuraman, R. (1984) · The American Journal of Psychology · doi:10.2307/1422535 · Cited by 716 · see citing works
Beatty, J. T., & Lucero-Wagoner, B. (2000) · Cited by 703 · see citing works
The Pupil: Anatomy, Physiology, and Clinical Applications
Loewenfeld, I. E., & Lowenstein, O. E. (1999) · Cited by 645 · see citing works
Blink Rate: A Possible Measure of Fatigue
Stern, J. A., Boyer, D. J., & Schroeder, D. J. (1994) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/001872089403600209 · Cited by 469 · see citing works
Self-citationMeta-analysis of the sensitivity decrement in vigilance.
See, J. E., Howe, S. R., Warm, J. S., & Dember, W. N. (1995) · Psychological Bulletin · doi:10.1037/0033-2909.117.2.230 · Cited by 411 · see citing works
The Role of Coding Time in Estimating and Interpreting Growth Curve Models.
Biesanz, J. C., Deeb‐Sossa, N., Papadakis, A. A., Bollen, K. A., & Curran, P. J. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.1.30 · Cited by 375 · see citing works
Neuroergonomics: the brain at work
Parasuraman, R. 1. (2007) · Choice Reviews Online · doi:10.5860/choice.45-2018 · Cited by 349 · see citing works
Parasuraman, R., & Rizzo, M. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195177619.001.0001 · Cited by 323 · see citing works
Hitchcock, E. M., Warm, J. S., Matthews, G., Dember, W. N., Shear, P. K., Tripp, L. D., Mayleben, D. W., & Parasuraman, R. (2003) · Theoretical Issues in Ergonomics Science · doi:10.1080/14639220210159726 · Cited by 180 · see citing works
Phasic Not Tonic Pupillary Responses Vary With Auditory Vigilance Performance
Beatty, J. (1982) · Psychophysiology · doi:10.1111/j.1469-8986.1982.tb02540.x · Cited by 163 · see citing works
Kristjansson, S. D., Kircher, J. C., & Webb, A. K. (2007) · Psychophysiology · doi:10.1111/j.1469-8986.2007.00544.x · Cited by 126 · see citing works
Self-citationFukuda, K., Stern, J. A., Brown, T., & Russo, M. B. (2005) · PubMed · Cited by 93 · see citing works
Self-citation(2000) · CRC Press eBooks · doi:10.1201/b12463 · Cited by 83 · see citing works
The Centercept: An Estimable and Meaningful Regression Parameter
Wainer, H. (2000) · Psychological Science · doi:10.1111/1467-9280.00284 · Cited by 52 · see citing works
Relation of cerebral blood flow velocity and level of vigilance in humans
Schnittger, C., Johannes, S., Arnavaz, A., & Münte, T. F. (1997) · Neuroreport · doi:10.1097/00001756-199705060-00016 · Cited by 36 · see citing works
Cerebral Hemodynamics and Vigilance
Warm, J. S., & Parasuraman, R. (2006) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195177619.003.0010 · Cited by 35 · see citing works
Multi-dimensional characterizations of operator state: A validation of oculomotor metrics.
Sirevaag, E. J., Rohrbaugh, J., Stern, J. A., Vedeniapin, A. B., Packingham, K. D., & LaJonchere, C. M. (1999) · PsycEXTRA Dataset · doi:10.1037/e412702004-001 · Cited by 9 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Waking state: rapid variations modulate neural and behavioral responses
McGinley, M. J., Vinck, M., Reimer, J., Batista-Brito, R., Zagha, E., Cadwell, C. R., Tolias, A. S., Cardin, J. A., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.09.012 · Cited by 801 · see citing works
“In human studies, drowsiness during the performance of a routine task, such as simulated driving, can be associated with wide variations in arousal and performance that are reflected by large fluctuations in pupil diameter (Kristjansson et al., 2009; Wilhelm et al., 2001).”
Pupil fluctuations track fast switching of cortical states during quiet wakefulness
Reimer, J., Froudarakis, E., Cadwell, C. R., Yatsenko, D., Denfield, G. H., & Tolias, A. S. (2014) · Neuron · doi:10.1016/j.neuron.2014.09.033 · Cited by 717 · see citing works
“…provocative stimuli produce a transient increase in pupil size (Bradley et al., 2008; Hess and Polt, 1960, 1964; Libby et al., 1973; Preuschoff et al., 2011), and pupil dilation preceding stimulus onset is correlated with faster reaction times in psychophysical tasks (Kristjansson et al., 2009).”
InfluentialCortical membrane potential signature of optimal states for sensory signal detection
McGinley, M. J., David, S. V., & McCormick, D. A. (2015) · Neuron · doi:10.1016/j.neuron.2015.05.038 · Cited by 728 · see citing works
Brain State Dependence of Hippocampal Subthreshold Activity in Awake Mice
Hulse, B. K., Lubenov, E. V., & Siapas, A. G. (2017) · Cell Reports · doi:10.1016/j.celrep.2016.11.084 · Cited by 40 · see citing works
- Authors
- Kristjansson, S. D., Stern, J. A., Brown, T. B., & Rohrbaugh, J. W.
- Affiliations
- Washington University in St. Louis (US)
- Corresponding author
- Kristjansson, Sean D.
- Venue
- Applied Ergonomics
- Publisher
- Elsevier BV
- Published
- 2009-11
- Volume
- 40
- Issue
- 6
- Pages
- 978-986
- ISSN
- 0003-6870 (ISSN-L)
- OpenAlex
- W2018644478
- Cited by
- 49
- References
- 25
- Citations by year
- 2026: 4 · 2024: 5 · 2023: 4 · 2022: 6 · 2021: 2 · 2020: 4 · 2019: 3 · 2018: 3 · 2017: 4 · 2016: 6 · 2015: 3 · 2014: 3 · 2013: 2
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Ergonomics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and Work-Related Fatigue
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Life Sciences › Neuroscience › Cognitive Neuroscience › Mind wandering and attention
- Keywords
- pupillometry, alertness, sustained attention, task-evoked pupillary response, pupil size, response latency
- MeSH terms
- Adolescent, Adult, Attention, Cognition, Female, Health Status Indicators, Humans, Male, Models, Theoretical, Photic Stimulation, Pupil, Reaction Time, Reflex, Pupillary, Regression Analysis, Wakefulness, Young Adult
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