Task-evoked pupillary responses, processing load, and the structure of processing resources.
Abstract
A physiological measure of processing load or mental effort required to perform a cognitive task should accurately reflect within-task, between-task, and betweenindividual variations in processing demands. This article reviews all available experimental data and concludes that the task-evoked pupillary response fulfills these criteria. Alternative explanations are considered and rejected. Some implications for neurophysiological and cognitive theories of processing resources are discussed.
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?
Numerous studies in various fields have found pupillometry to be useful to measure cognitive load.
“Numerous studies in various fields have also found pupillometry to be useful to measure cognitive load (Beatty 1982;Hess 1965;Hess and Polt 1964;Kahneman and Beatty 1966;Klingner et al. 2008Klingner et al. , 2011;;Paas et al. 2003;Szulewski et al. 2014).”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Beatty 1982
Beatty (1982) found that digit and linguistic tasks of increasing complexity caused pupillary size to increase to greater degrees.
“Beatty (1982) found that digit and linguistic tasks of increasing complexity caused pupillary size to increase to greater degrees.”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Beatty 1982
Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1994) · Psychological Review · doi:10.1037/0033-295x.101.2.343 · Cited by 17,469 · see citing works
(1966) · Medical Entomology and Zoology · Cited by 10,293 · see citing works
Egeth, H. E., & Kahneman, D. J. (1975) · The American Journal of Psychology · doi:10.2307/1421603 · Cited by 6,976 · see citing works
On data-limited and resource-limited processes
Norman, D. A., & Bobrow, D. G. (1975) · Cognitive Psychology · doi:10.1016/0010-0285(75)90004-3 · Cited by 2,403 · see citing works
Electrical Signs of Selective Attention in the Human Brain
Hillyard, S. A., Hink, R. F., Schwent, V. L., & Picton, T. W. (1973) · Science · doi:10.1126/science.182.4108.177 · Cited by 1,938 · see citing works
Luria, A. R. (1973) · Cited by 1,861 · see citing works
Posner, M. I., & Boies, S. J. (1971) · Psychological Review · doi:10.1037/h0031333 · Cited by 1,751 · see citing works
On the economy of the human-processing system.
Navon, D., & Gopher, D. (1979) · Psychological Review · doi:10.1037/0033-295x.86.3.214 · Cited by 1,668 · see citing works
Pupil Diameter and Load on Memory
Kahneman, D., & Beatty, J. (1966) · Science · doi:10.1126/science.154.3756.1583 · Cited by 1,617 · see citing works
Self-citationPupil Size in Relation to Mental Activity during Simple Problem-Solving
Hess, E. H., & Polt, J. M. (1964) · Science · doi:10.1126/science.143.3611.1190 · Cited by 1,169 · see citing works
Bergum, B. O., & Requin, J. (1980) · The American Journal of Psychology · doi:10.2307/1422120 · Cited by 1,045 · see citing works
Chronometric analysis of classification.
Posner, M. I., & Mitchell, R. F. (1967) · Psychological Review · doi:10.1037/h0024913 · Cited by 795 · see citing works
The structure of attentional resources.
Wickens, C. (1980) · Attention and performance · Cited by 762 · see citing works
A 3 min reasoning test based on grammatical transformation
Baddeley, A. (1968) · Psychonomic Science · doi:10.3758/bf03331551 · Cited by 648 · see citing works
Where is capacity limited? A survey and a model
Moray, N. P. (1967) · Acta Psychologica · doi:10.1016/0001-6918(67)90048-0 · Cited by 440 · see citing works
Pupillary Responses During Information Processing Vary with Scholastic Aptitude Test Scores
Ahern, S., & Beatty, J. (1979) · Science · doi:10.1126/science.472746 · Cited by 398 · see citing works
Self-citationMemory Load and Event Rate Control Sensitivity Decrements in Sustained Attention
Parasuraman, R. (1979) · Science · doi:10.1126/science.472714 · Cited by 392 · see citing works
Psychological significance of pupillary movements.
Goldwater, B. C. (1972) · Psychological Bulletin · doi:10.1037/h0032456 · Cited by 258 · see citing works
Pupillary changes in two memory tasks
Beatty, J., & Kahneman, D. J. (1966) · Psychonomic Science · doi:10.3758/bf03328444 · Cited by 216 · see citing works
Self-citationNeurological Anatomy in Relation to Clinical Medicine (3rd Ed.)
Marsden, C. (1982) · Journal of Neurology Neurosurgery & Psychiatry · doi:10.1136/jnnp.45.5.479-a · Cited by 209 · see citing works
A Taxonomic Analysis of Vigilance Performance
Parasuraman, R., & Davies, D. R. (1977) · Springer eBooks · doi:10.1007/978-1-4684-2529-1_26 · Cited by 198 · 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
Self-citationPupillary responses in a pitch-discrimination task
Hahnemann, D., & Beatty, J. (1967) · Perception & Psychophysics · doi:10.3758/bf03210302 · Cited by 162 · see citing works
Self-citationPerceptual Deficit during a Mental Task
Kahneman, D. J., Beatty, J., & Pollack, I. W. (1967) · Science · doi:10.1126/science.157.3785.218 · Cited by 162 · see citing works
Self-citationPupillometric Signs of Brain Activation Vary with Level of Cognitive Processing
Beatty, J., & Lucero-Wagoner, B. (1978) · Science · doi:10.1126/science.628837 · Cited by 138 · see citing works
Self-citationSanders, A. F. (1979) · Springer eBooks · doi:10.1007/978-1-4757-0884-4_5 · Cited by 87 · see citing works
Pupillary Response at Visual Threshold
Hakerem, G., & Sutton, S. (1966) · Nature · doi:10.1038/212485a0 · Cited by 87 · see citing works
Effects of verbalization and incentive on the pupil response to mental activity.
Kahneman, D. J., Peavler, W. S., & Onuska, L. A. (1968) · Canadian Journal of Psychology/Revue Canadienne de Psychologie · doi:10.1037/h0082759 · Cited by 79 · see citing works
Pupil Size and Problem Solving
Bradshaw, J. L. (1968) · Quarterly Journal of Experimental Psychology · doi:10.1080/14640746808400139 · Cited by 78 · see citing works
Evidence for Alternative Strategies of Sentence Retention
Wright, P., & Kahneman, D. J. (1971) · Quarterly Journal of Experimental Psychology · doi:10.1080/14640747108400240 · Cited by 56 · see citing works
Effects of Grouping on the Pupillary Response in a Short-Term Memory Task
Kahneman, D. J., Onuska, L. A., & Wolman, R. E. (1968) · Quarterly Journal of Experimental Psychology · doi:10.1080/14640746808400168 · Cited by 51 · see citing works
Percentage of pupillary dilation as a measure of item difficulty
Payne, D. T., Parry, M. E., & Harasymiw, S. J. (1968) · Perception & Psychophysics · doi:10.3758/bf03210453 · Cited by 47 · see citing works
Background light intensity and the pupillary response in a reaction time task
Bradshaw, J. L. (1969) · Psychonomic Science · doi:10.3758/bf03329118 · Cited by 38 · see citing works
Physiological Evidence that Demand for Processing Capacity Varies with Intelligence
Ahern, S., & Beatty, J. (1981) · Springer eBooks · doi:10.1007/978-1-4684-1083-9_9 · Cited by 33 · see citing works
Self-citationIndividual Differences in Pupil Size and Performance
Peavler, W. S. (1974) · Springer eBooks · doi:10.1007/978-1-4757-1642-9_6 · Cited by 23 · see citing works
Effects of instructional set on pupillary responses during a short-term memory task.
Clark, W. R., & Johnson, D. A. (1970) · Journal of Experimental Psychology · doi:10.1037/h0029543 · Cited by 6 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Aston-Jones, G., & Cohen, J. D. (2005) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.28.061604.135709 · Cited by 4,472 · see citing works
A capacity theory of comprehension: individual differences in working memory
Just, M. A., & Carpenter, P. A. (1992) · Psychological Review · doi:10.1037/0033-295x.99.1.122 · Cited by 4,153 · see citing works
Biological Bases of Childhood Shyness
Kagan, J., Reznick, J. S., & Snidman, N. (1988) · Science · doi:10.1126/science.3353713 · Cited by 1,577 · see citing works
Joshi, S., Li, Y., Kalwani, R. M., & Gold, J. I. (2016) · Neuron · doi:10.1016/j.neuron.2015.11.028 · Cited by 1,387 · see citing works
Pupillometry: A Window to the Preconscious?
Laeng, B., Sirois, S., & Gredebäck, G. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691611427305 · Cited by 921 · see citing works
Direct Measurement of Cognitive Load in Multimedia Learning
Brunken, R., Plass, J. L., & Leutner, D. (2003) · Educational Psychologist · doi:10.1207/s15326985ep3801_7 · Cited by 896 · see citing works
Kang, M. J., Hsu, M., Krajbich, I. M., Loewenstein, G., McClure, S. M., Wang, J. T.-Y., & Camerer, C. F. (2009) · Psychological Science · doi:10.1111/j.1467-9280.2009.02402.x · Cited by 882 · see citing works
“Because pupil dilation is known to be linked to arousal, attention, interest, and cognitive effort (Beatty, 1982; Hess & Polt, 1960), and because anticipatory pupillary responses increase following a stimulus that predicts rewards (O’Doherty, Dayan, Friston, Critchley, & Dolan, 2003), the observed…”
Siegle, G. J., Steinhauer, S. R., Thase, M. E., Stenger, V. A., & Carter, C. S. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01314-8 · Cited by 859 · see citing works
Pupil diameter covaries with BOLD activity in human locus coeruleus
Murphy, P. R., O'Connell, R. G., O'Sullivan, M., Robertson, I. H., & Balsters, J. H. (2014) · Human Brain Mapping · doi:10.1002/hbm.22466 · Cited by 819 · see citing works
In Google We Trust: Users’ Decisions on Rank, Position, and Relevance
Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., & Granka, L. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00351.x · Cited by 715 · see citing works
Modafinil: a review of neurochemical actions and effects on cognition
Minzenberg, M. J., & Carter, C. S. (2008) · Neuropsychopharmacology · doi:10.1038/sj.npp.1301534 · Cited by 713 · see citing works
Bailey, B. P., & Konstan, J. A. (2006) · Computers in Human Behavior · doi:10.1016/j.chb.2005.12.009 · Cited by 600 · see citing works
Pupillometry and P3 index the locus coeruleus-noradrenergic arousal function in humans
Murphy, P. R., Robertson, I. H., Balsters, J. H., & O'connell, R. G. (2011) · Psychophysiology · doi:10.1111/j.1469-8986.2011.01226.x · Cited by 519 · see citing works
Siegle, G. J., Ghinassi, F., & Thase, M. E. (2007) · Cognitive Therapy and Research · doi:10.1007/s10608-006-9118-6 · Cited by 444 · see citing works
A metabolic measure of mental effort
Fairclough, S. H., & Houston, K. (2004) · Biological Psychology · doi:10.1016/j.biopsycho.2003.10.001 · Cited by 333 · see citing works
Bailey, B. P., & Iqbal, S. T. (2008) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1314683.1314689 · Cited by 325 · see citing works
The energetics of motivated cognition: A force-field analysis.
Kruglanski, A. W., Bélanger, J. J., Chen, X., Köpetz, C., Pierro, A., & Mannetti, L. (2012) · Psychological Review · doi:10.1037/a0025488 · Cited by 318 · see citing works
Task-evoked pupillary response to mental workload in human-computer interaction
Iqbal, S. T., Zheng, X. S., & Bailey, B. P. (2004) · CHI '04 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/985921.986094 · Cited by 317 · see citing works
Hogervorst, M. A., Brouwer, A.-M., & van Erp, J. B. F. (2014) · Frontiers in Neuroscience · doi:10.3389/fnins.2014.00322 · Cited by 292 · see citing works
Memory load and the cognitive pupillary response in aging
Van Gerven, P. W. M., Paas, F., Van Merriënboer, J. J. G., & Schmidt, H. G. (2004) · Psychophysiology · doi:10.1111/j.1469-8986.2003.00148.x · Cited by 292 · see citing works
Using psycho-physiological measures to assess task difficulty in software development
Fritz, T., Begel, A., Müller, S. C., Yigit-Elliott, S., & Züger, M. (2014) · Proceedings of the 36th International Conference on Software Engineering · doi:10.1145/2568225.2568266 · Cited by 262 · see citing works
Klingner, J., Tversky, B., & Hanrahan, P. (2011) · Psychophysiology · doi:10.1111/j.1469-8986.2010.01069.x · Cited by 255 · see citing works
Duchowski, A. T., Krejtz, K., Krejtz, I., Biele, C., Niedzielska, A., Kiefer, P., Raubal, M., & Giannopoulos, I. (2018) · Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3173574.3173856 · Cited by 228 · see citing works
Using task-induced pupil diameter and blink rate to infer cognitive load.
Chen, S., & Epps, J. (2014) · Human–Computer Interaction · doi:10.1080/07370024.2014.892428 · Cited by 200 · see citing works
“Moreover, the general form of pupillary response over time in the arithmetic task, as shown in the examples of Figure 3, conforms with previous studies (Beatty, 1982; Klingner et al., 2011; Piquado et al., 2010), in that it gradually increased to a peak with sustained attention.”
InfluentialTowards an index of opportunity: understanding changes in mental workload during task execution
Iqbal, S. T., Adamczyk, P. D., Zheng, X. S., & Bailey, B. P. (2005) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1054972.1055016 · Cited by 196 · see citing works
Silk, J. S., Stroud, L. R., Siegle, G. J., Dahl, R. E., Lee, K. H., & Nelson, E. E. (2012) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsr044 · Cited by 187 · see citing works
A Model Relating Pupil Diameter to Mental Workload and Lighting Conditions
Pfleging, B., Fekety, D. K., Schmidt, A., & Kun, A. L. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems · doi:10.1145/2858036.2858117 · Cited by 179 · see citing works
Pupil-linked arousal signals track the temporal organization of events in memory
Clewett, D., Gasser, C., & Davachi, L. (2020) · Nature Communications · doi:10.1038/s41467-020-17851-9 · Cited by 154 · see citing works
Ellingsen, D.-M., Wessberg, J., Chelnokova, O., Olausson, H., Laeng, B., & Leknes, S. (2014) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2013.09.017 · Cited by 153 · see citing works
Cognitive Heat: Exploring the Usage of Thermal Imaging to Unobtrusively Estimate Cognitive Load
Abdelrahman, Y., Velloso, E., Dingler, T., Schmidt, A., & Vetere, F. (2017) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · doi:10.1145/3130898 · Cited by 154 · see citing works
Mineault, P. J., Tring, E., Trachtenberg, J. T., & Ringach, D. L. (2016) · The Journal of Neuroscience · doi:10.1523/jneurosci.0430-16.2016 · Cited by 148 · see citing works
Publication guidelines and recommendations for pupillary measurement in psychophysiological studies
Steinhauer, S. R., Bradley, M. M., Siegle, G. J., Roecklein, K. A., & Dix, A. (2022) · Psychophysiology · doi:10.1111/psyp.14035 · Cited by 137 · see citing works
Silk, J. S., Siegle, G. J., Whalen, D. J., Ostapenko, L. J., Ladouceur, C. D., & Dahl, R. E. (2009) · Development and Psychopathology · doi:10.1017/s0954579409000029 · Cited by 127 · see citing works
Level of operator control and changes in heart rate variability during simulated flight maintenance.
Tattersall, A. J., & Hockey, G. R. J. (1995) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1518/001872095778995517 · Cited by 126 · see citing works
Interruptibility of Software Developers and its Prediction Using Psycho-Physiological Sensors
Züger, M., & Fritz, T. (2015) · Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems · doi:10.1145/2702123.2702593 · Cited by 96 · see citing works
The Low/High Index of Pupillary Activity
Duchowski, A. T., Krejtz, K., Gehrer, N. A., Bafna, T., & Bækgaard, P. (2020) · Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3313831.3376394 · Cited by 94 · see citing works
Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool
Szulewski, A., Gegenfurtner, A., Howes, D. W., Sivilotti, M. L. A., & van Merriënboer, J. J. G. (2017) · Advances in Health Sciences Education · doi:10.1007/s10459-016-9725-2 · Cited by 94 · see citing works
Prehn, K., Kazzer, P., Lischke, A., Heinrichs, M., Herpertz, S. C., & Domes, G. (2013) · Psychophysiology · doi:10.1111/psyp.12042 · Cited by 81 · see citing works
Szulewski, A., Roth, N., & Howes, D. (2015) · Academic Medicine · doi:10.1097/acm.0000000000000677 · Cited by 84 · see citing works
van Rijn, H., Dalenberg, J. R., Borst, J. P., & Sprenger, S. A. (2012) · PLoS ONE · doi:10.1371/journal.pone.0051134 · Cited by 66 · see citing works
Capturing user engagement via psychophysiology: measures and mechanisms for biocybernetic adaptation
Fairclough, S. H., Gilleade, K., Ewing, K. C., & Roberts, J. (2013) · International Journal of Autonomous and Adaptive Communications Systems · doi:10.1504/ijaacs.2013.050694 · Cited by 60 · see citing works
Granholm, E., Asarnow, R. F., & Marder, S. R. (1996) · Neuropsychology · doi:10.1037/0894-4105.10.1.11 · Cited by 59 · see citing works
Detecting phasic lapses in alertness using pupillometric measures
Kristjansson, S. D., Stern, J. A., Brown, T. B., & Rohrbaugh, J. W. (2009) · Applied Ergonomics · doi:10.1016/j.apergo.2009.04.007 · Cited by 49 · see citing works
Mazur, L. M., Mosaly, P. R., Moore, C., Comitz, E., Yu, F., Falchook, A. D., Eblan, M. J., Hoyle, L. M., Tracton, G., Chera, B. S., et al. (2016) · Journal of the American Medical Informatics Association · doi:10.1093/jamia/ocw016 · Cited by 45 · see citing works
Karatekin, C., Bingham, C., & White, T. (2010) · Schizophrenia Bulletin · doi:10.1093/schbul/sbp035 · Cited by 47 · see citing works
Karatekin, C., Bingham, C., & White, T. (2009) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2009.05.001 · Cited by 42 · see citing works
Speech Planning at Turn Transitions in Dialog Is Associated With Increased Processing Load
Barthel, M., & Sauppe, S. (2019) · Cognitive Science · doi:10.1111/cogs.12768 · Cited by 42 · see citing works
Chronic worry and the temporal dynamics of emotional processing
Oathes, D. J., Siegle, G. J., & Ray, W. J. (2011) · Emotion · doi:10.1037/a0021781 · Cited by 27 · see citing works
Szulewski, A., Fernando, S. M., Baylis, J., & Howes, D. (2014) · Open Journal of Emergency Medicine · doi:10.4236/ojem.2014.21002 · Cited by 17 · see citing works
- Authors
- Beatty, J.
- Affiliations
- University of California, Los Angeles (US)
- Corresponding author
- Beatty, Jackson
- Venue
- Psychological Bulletin
- Published
- 1982
- Volume
- 91
- Issue
- 2
- Pages
- 276-292
- ISSN
- 0033-2909 (ISSN-L)
- 1939-1455
- OpenAlex
- W2062242288
- Cited by
- 1,959
- References
- 36
- Citations by year
- 2026: 110 · 2025: 130 · 2024: 95 · 2023: 97 · 2022: 112 · 2021: 118 · 2020: 116 · 2019: 119 · 2018: 132 · 2017: 99 · 2016: 96 · 2015: 85 · 2014: 86 · 2013: 72 · 2012: 44
- FWCI
- 4.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Bulletin (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Social Sciences › Psychology › Social Psychology › Human-Automation Interaction and Safety
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Keywords
- pupillary response, processing load, cognitive effort, processing resources
- MeSH terms
- Attention, Brain, Humans, Mental Processes, Reflex, Pupillary
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