The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Pupil Diameter and Load on Memory
Abstract
During a short-term memory task, pupil diameter is a measure of the amount of material which is under active processing at any time. The pupil dilates as the material is presented and constricts during report. The rate of change of these functions is related to task difficulty.
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In the citing paper
“Kahneman and Beatty (Kahneman and Beatty 1966) established that 'anything that increases the brain's processing load will dilate the pupil.'”
From Human-Clinical AI Agent Collaboration (2025) · cites this paper as Kahneman and Beatty 1966
In the citing paper
“we identify a fundamental mismatch between the dynamic nature of human cognition and the static interaction patterns of current Clinical AI systems.”
From Human-Clinical AI Agent Collaboration (2025) · cites this paper as Kahneman and Beatty 1966
In the citing paper
“Fifty years of research demonstrates that pupil dilation reliably indicates cognitive load when controlling for luminance and accommodation.”
From Human-Clinical AI Agent Collaboration (2025) · cites this paper as Kahneman and Beatty 1966
In the citing paper
“In general, when a participant reads a question or is presented with a problem to solve, his/ her pupil diameter increases steadily until he/she provides an answer, at which point the pupil diameter decreases again (Kahneman and Beatty 1966).”
From Measuring physician cognitive load: validity evidence for a physiologic and a psychometric tool (2017) · cites this paper as Kahneman and Beatty 1966
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Cites
Broadbent, D. E. (1958) · doi:10.1037/10037-000 · Cited by 4,337
Pupil 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
Pupil Size as Related to Interest Value of Visual Stimuli
Hess, E. H., & Polt, J. M. (1960) · Science · doi:10.1126/science.132.3423.349 · Cited by 899
Hess, E. H. (1965) · Scientific American · doi:10.1038/scientificamerican0465-46 · Cited by 515
Cardiovascular Differentiation of Sensory Stimuli
Obrist, P. A. (1963) · Psychosomatic Medicine · doi:10.1097/00006842-196309000-00005 · Cited by 92
ALPERN, M. B., Mason, G. L., & Jardinico, R. E. (1961) · American Journal of Ophthalmology · doi:10.1016/0002-9394(61)90900-x · Cited by 65
Interference, rehearsal, and short-term retention of digits.
Pollack, I. W. (1963) · Canadian Journal of Psychology/Revue Canadienne de Psychologie · doi:10.1037/h0083279 · Cited by 19
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Research works printed but not linked: 1
- KAGAN, J, MERRILLPALMER Q 11: 95 (1965).
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Items 401–500 of 1,000
Schwartz, Z. P., Buran, B. N., & David, S. V. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00595.2019 · Cited by 39
The effects of cognitive abilities and task demands on tonic and phasic pupil sizes
Aminihajibashi, S., Hagen, T., Andreassen, O. A., Laeng, B., & Espeseth, T. (2020) · Biological Psychology · doi:10.1016/j.biopsycho.2020.107945 · Cited by 42
Pupillary response to representations of light in paintings
Castellotti, S., Conti, M., Feitosa-Santana, C., & Viva, M. M. D. (2020) · Journal of Vision · doi:10.1167/jov.20.10.14 · Cited by 38
The “Effort Elephant” in the Room: What Is Effort, Anyway?
Thomson, K. S., & Oppenheimer, D. M. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916211064896 · Cited by 46
Effects of arithmetic problem difficulty on pupillary dilation in normals and educable retardates
Boersma, F. J., Wilton, K. M., Barham, R., & Muir, W. J. (1970) · Journal of Experimental Child Psychology · doi:10.1016/0022-0965(70)90079-2 · Cited by 38
Fronto-parietal network supports context-dependent speech comprehension
Smirnov, D., Glerean, E., Lahnakoski, J. M., Salmi, J., Jääskeläinen, I. P., Sams, M. E., & Nummenmaa, L. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.09.007 · Cited by 38
Gender differences in visuospatial planning: An eye movements study
Cazzato, V., Basso, D., Cutini, S., & Bisiacchi, P. S. (2009) · Behavioural Brain Research · doi:10.1016/j.bbr.2009.09.010 · Cited by 38
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
Eberz, S., Rasmussen, K., Lenders, V., & Martinović, I. (2016) · ACM Transactions on Privacy and Security · doi:10.1145/2904018 · Cited by 37
Voluntary pupil size change as control in eyes only interaction
Ekman, I., Poikola, A., Mäkäräinen, M., Takala, T., & Hämäläinen, P. (2008) · ACM Symposium on Eye Tracking Research and Applications (ETRA) · doi:10.1145/1344471.1344501 · Cited by 37
Prehn, K., Heekeren, H. R., & van der Meer, E. E. (2010) · International Journal of Psychophysiology · doi:10.1016/j.ijpsycho.2010.10.014 · Cited by 37
Emotional arousal and discount rate in intertemporal choice are reference dependent.
Lempert, K. M., Glimcher, P. W., & Phelps, E. A. (2015) · Journal of Experimental Psychology General · doi:10.1037/xge0000047 · Cited by 37
Peysakhovich, V., Dehais, F., & Causse, M. (2015) · Procedia Manufacturing · doi:10.1016/j.promfg.2015.07.583 · Cited by 37
Pupillary response to complex interdependent tasks: A cognitive-load theory perspective
Mitra, R., McNeal, K. S., & Bondell, H. D. (2016) · Behavior Research Methods · doi:10.3758/s13428-016-0833-y · Cited by 42
Pupillometric and saccadic measures of affective and executive processing in anxiety
Hepsomali, P., Hadwin, J. A., Liversedge, S. P., & Garner, M. J. (2017) · Biological Psychology · doi:10.1016/j.biopsycho.2017.05.013 · Cited by 37
Pajkossy, P., Szöllősi, Á., Demeter, G., & Racsmány, M. (2017) · Psychophysiology · doi:10.1111/psyp.12964 · Cited by 38
Bocklisch, F., Paczkowski, G., Zimmermann, S., & Lampke, T. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.03.005 · Cited by 43
Evaluation of mental workload by fluctuation analysis of pupil area
Murata, A., & Iwase, H. (2002) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/iembs.1998.746146 · Cited by 37
Depth of processing approach to face recognition: A test of two theories.
Bloom, L. C., & Mudd, S. A. (1991) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.17.3.556 · Cited by 37
Pupil dilation during recognition memory: Isolating unexpected recognition from judgment uncertainty
Mill, R. D., O’Connor, A. R., & Dobbins, I. G. (2016) · Cognition · doi:10.1016/j.cognition.2016.05.018 · Cited by 35
Diede, N. T., & Bugg, J. M. (2017) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/xlm0000349 · Cited by 36
Pupil mimicry and trust – Implication for depression
Wehebrink, K. S., Koelkebeck, K., Piest, S., Dreu, C. K. W. D., & Kret, M. E. (2017) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2017.11.007 · Cited by 39
Pupil dilations following pairs of identical and related to-be-remembered words
Magliero, A. (1983) · Memory & Cognition · doi:10.3758/bf03198285 · Cited by 34
Toward a better understanding of the communication cues involved in a human-robot object transfer
Gharbi, M., Paubel, P., Clodic, A., Carreras, O., Alami, R., & Cellier, J. (2015) · IEEE RO-MAN · doi:10.1109/roman.2015.7333626 · Cited by 36
Tozman, T., & Peifer, C. (2016) · Springer eBooks · doi:10.1007/978-3-319-28634-1_20 · Cited by 38
The Role of Cognitive and Perceptual Loads in Inattentional Deafness
Causse, M., Imbert, J.-P., Giraudet, L., Jouffrais, C., & Tremblay, S. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00344 · Cited by 36
Rubaltelli, E., Agnoli, S., & Franchin, L. (2015) · Journal of Behavioral Decision Making · doi:10.1002/bdm.1885 · Cited by 38
Pupil Variation Applied to the Eye Tracking Control of an Endoscopic Manipulator
Cao, Y., Miura, S., Kobayashi, Y., Kawamura, K., Sugano, S., & Fujie, M. G. (2016) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2016.2521894 · Cited by 35
Microsaccade-rate indicates absorption by music listening
Lange, E. B., Zweck, F., & Sinn, P. (2017) · Consciousness and Cognition · doi:10.1016/j.concog.2017.07.009 · Cited by 35
Nguyen, P., Nguyen, T. A., & Zeng, Y. (2017) · Research in Engineering Design · doi:10.1007/s00163-017-0273-4 · Cited by 38
New insights into feature and conjunction search: II. Evidence from Alzheimer's disease
Porter, G., Leonards, U., Wilcock, G. K., Haworth, J., Trościanko, T., & Tales, A. (2009) · Cortex · doi:10.1016/j.cortex.2009.04.014 · Cited by 35
Quantifying the Effect of Noise on Cognitive Processes
Grenzebach, J., & Romanus, E. (2022) · Noise and Health · doi:10.4103/nah.nah_34_22 · Cited by 39
Shalóm, D. E., Serro, M. D. S., Giaconia, M., Martı́nez, L. M., Rieznik, A. A., & Sigman, M. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058254 · Cited by 34
Human place and response learning: navigation strategy selection, pupil size and gaze behavior
de Condappa, O., & Wiener, J. M. (2014) · Psychological Research · doi:10.1007/s00426-014-0642-9 · Cited by 34
Olivocochlear efferent function: issues regarding methods and the interpretation of results
Guinan, J. J. (2014) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2014.00142 · Cited by 34
Cognitive effort and pupil dilation in controlled and automatic processes
Querino, E. H. G., dos Santos, L., Ginani, G. E., Nicolau, E., de Miranda, D. M., Romano‐Silva, M. A., & Malloy‐Diniz, L. F. (2015) · Translational Neuroscience · doi:10.1515/tnsci-2015-0017 · Cited by 34
Martins-Klein, B., Florjanczyk, J., JACKSON, N. J., Gatz, M., & Mather, M. (2018) · Psychology and Aging · doi:10.1037/pag0000227 · Cited by 37
Neurophysiological indicators of internal attention: An fMRI–eye-tracking coregistration study
Ceh, S. M., Annerer‐Walcher, S., Koschutnig, K., Körner, C., Fink, A., & Benedek, M. (2021) · Cortex · doi:10.1016/j.cortex.2021.07.005 · Cited by 34
Pupillary responses during a short-term memory task: Cognitive processing, arousal, or both?
Johnson, D. A. (1971) · Journal of Experimental Psychology · doi:10.1037/h0031562 · Cited by 34
Processes underlying exposure to advertising.
Krugman, H. E. (1968) · American Psychologist · doi:10.1037/h0026247 · Cited by 34
Motivational and emotional influences on cognitive control in depression: A pupillometry study
Jones, N. P., Siegle, G. J., & Mandell, D. (2014) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-014-0323-6 · Cited by 37
Emotional arousal predicts intertemporal choice.
Lempert, K. M., Johnson, E., & Phelps, E. A. (2016) · Emotion · doi:10.1037/emo0000168 · Cited by 43
Pupil diameter differentiates expertise in dental radiography visual search
Castner, N., Appel, T., Eder, T., Richter, J., Scheiter, K., Keutel, C., Huettig, F., Duchowski, A. T., & Kasneci, E. (2020) · PLoS ONE · doi:10.1371/journal.pone.0223941 · Cited by 33
Listening effort and fatigue in native and non-native primary school children
Brännström, K. J., Rudner, M., Carlie, J., Sahlén, B. S., Gulz, A., Andersson, K., & Johansson, R. (2021) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2021.105203 · Cited by 36
Pupil diameter tracked during motor adaptation in humans
Yokoi, A., & Weiler, J. (2022) · Journal of Neurophysiology · doi:10.1152/jn.00021.2022 · Cited by 35
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
Self-citationInfant and adult perceptions of possible and impossible body movements: an eye-tracking study.
Morita, T., Slaughter, V., Katayama, N., Kitazaki, M., Kakigi, R., & Itakura, S. (2012) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2012.07.003 · Cited by 32
Density of Gaze Points Within a Fixation and Information Processing Behavior
Shojaeizadeh, M., Djamasbi, S., & Trapp, A. C. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-40250-5_44 · Cited by 32
Pupillometry during golf putting: A new window on the cognitive mechanisms underlying quiet eye.
Campbell, M. J., Moran, A. P., Bargary, N., Surmon, S., Bressan, L., & Kenny, I. C. (2018) · Sport Exercise and Performance Psychology · doi:10.1037/spy0000148 · Cited by 34
Pupil size and search performance in low and high perceptual load
Oliva, M. (2018) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-018-00677-w · Cited by 37
One-shot learning and behavioral eligibility traces in sequential decision making
Lehmann, M. P., He, X., Liakoni, V., Herzog, M. H., Wulfram Gerstner, B., & Preuschoff, K. (2019) · eLife · doi:10.7554/elife.47463 · Cited by 29
Buildup and release from proactive interference – Cognitive and neural mechanisms
Kliegl, O., & Bäuml, K. T. (2020) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2020.10.028 · Cited by 34
Bauer, R., Jost, L., Günther, B., & Jansen, P. (2021) · Psychological Research · doi:10.1007/s00426-021-01568-5 · Cited by 32
The confounding effects of eye blinking on pupillometry, and their remedy
Yoo, K., Ahn, J., & Lee, S. (2021) · PLoS ONE · doi:10.1371/journal.pone.0261463 · Cited by 29
Eye-Tracking Adaptable e-Learning and Content Authoring Support
Pivec, M., Trummer, C., & Pripfl, J. (2006) · Informatica · Cited by 32
From incoherence to mirth: neuro-cognitive processing of garden-path jokes
Mayerhofer, B., & Schacht, A. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00550 · Cited by 37
Evoked Brain Potentials: Signs or Codes?
Uttal, W. R. (1967) · Perspectives in biology and medicine · doi:10.1353/pbm.1967.0010 · Cited by 32
Pupil Dilation Is Sensitive to Semantic Ambiguity and Acoustic Degradation
Kadem, M., Herrmann, B., Rodd, J. M., & Johnsrude, I. S. (2020) · Trends in Hearing · doi:10.1177/2331216520964068 · Cited by 77
Pupillary correlates of covert shifts of attention during working memory maintenance
Unsworth, N., & Robison, M. (2017) · Attention, Perception, & Psychophysics · doi:10.3758/s13414-016-1272-7 · Cited by 27
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Allaert, J., Sánchez-López, Á., Raedt, R. D., Baeken, C., & Vanderhasselt, M. (2019) · PLoS ONE · doi:10.1371/journal.pone.0218327 · Cited by 30
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Koelewijn, T., Versfeld, N. J., & Kramer, S. E. (2017) · Hearing Research · doi:10.1016/j.heares.2017.08.006 · Cited by 30
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Shi, Y., Du, J., & Zhu, Q. (2020) · Advanced Engineering Informatics · doi:10.1016/j.aei.2020.101167 · Cited by 30
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Gardner, R. M., Beltramo, J. S., & Krinsky, R. (1975) · Perceptual and Motor Skills · doi:10.2466/pms.1975.41.3.951 · Cited by 30
Eye Movement during Reading in Young Adults with Cerebral Palsy Measured with Eye Tracking
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Morett, L. M., Roche, J. M., Fraundorf, S. H., & McPartland, J. C. (2020) · Cognitive Science · doi:10.1111/cogs.12912 · Cited by 29
Effects of Music Engagement on Responses to Painful Stimulation
Bradshaw, D. H., Chapman, C. R., Jacobson, R. C., & Donaldson, G. W. (2012) · Clinical Journal of Pain · doi:10.1097/ajp.0b013e318236c8ca · Cited by 30
Short-Term Monocular Deprivation Enhances Physiological Pupillary Oscillations
Binda, P., & Lunghi, C. (2017) · Neural Plasticity · doi:10.1155/2017/6724631 · Cited by 32
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Chen, H., Dey, A., Billinghurst, M., & Lindeman, R. W. (2017) · Eurographics · doi:10.2312/egve.20171355 · Cited by 29
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Motivational goal-priming with or without awareness produces faster and stronger force exertion
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Alós‐Ferrer, C., & Buckenmaier, J. (2018) · Experimental Economics · doi:10.1007/s10683-020-09672-w · Cited by 30
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Foucart, A., Santamaría‐García, H. A., & Hartsuiker, R. J. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.02.021 · Cited by 29
Swallow, K. M., Jiang, Y. V., & Riley, E. (2019) · Scientific Reports · doi:10.1038/s41598-019-41658-4 · Cited by 32
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Padilla, L., Castro, S. C., Quinan, P. S., Ruginski, I. T., & Creem-Regehr, S. H. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934286 · Cited by 29
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Hustá, C., Dalmaijer, E. S., Belopolsky, A. V., & Mathôt, S. (2019) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/xhp0000689 · Cited by 29
Owuamalam, C. K., & Spears, R. (2019) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2019.103897 · Cited by 30
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Vilotijević, A., & Mathôt, S. (2023) · Wiley Interdisciplinary Reviews Cognitive Science · doi:10.1002/wcs.1672 · Cited by 32
Ferguson, H. J., Apperly, I. A., Ahmad, J., Bindemann, M., & Cane, J. E. (2015) · Cognition · doi:10.1016/j.cognition.2015.02.010 · Cited by 29
Powell, W. R., & Schirillo, J. A. (2011) · Cognition & Emotion · doi:10.1080/02699931.2010.515709 · Cited by 29
Lynch, G. T. F., James, S., & VanDam, M. (2017) · Autism Research · doi:10.1002/aur.1888 · Cited by 29
Vassilieva, A., Olsen, M. H., Peinkhofer, C., Knudsen, G. M., & Kondziella, D. (2019) · PeerJ · doi:10.7717/peerj.6929 · Cited by 29
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Metadata
- Authors
- Kahneman, D., & Beatty, J.
- Affiliations
- Harvard University (US)
- University of Michigan (US)
- Venue
- Science
- Published
- 1966-12-23
- Volume
- 154
- Issue
- 3756
- Pages
- 1583-1585
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1976339519
- Cited by
- 1,617
- References
- 7
- Citations by year
- 2026: 98 · 2025: 127 · 2024: 101 · 2023: 92 · 2022: 111 · 2021: 117 · 2020: 113 · 2019: 121 · 2018: 113 · 2017: 76 · 2016: 87 · 2015: 79 · 2014: 56 · 2013: 58 · 2012: 33
- FWCI
- 9.83
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural and Behavioral Psychology Studies
- Keywords
- pupil size, short-term memory, memory load, pupil dilation, miosis, task difficulty, active processing, visual attention
- MeSH terms
- Adult, Female, Humans, Memory, Pupil
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 ›
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