Pupil Diameter and Load on Memory

Perception and communication.

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Pupil Size in Relation to Mental Activity during Simple Problem-Solving

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Pupil Size as Related to Interest Value of Visual Stimuli

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Attitude and Pupil Size

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Cardiovascular Differentiation of Sensory Stimuli

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Vergence and Accommodation

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Interference, rehearsal, and short-term retention of digits.

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Does stereopsis improve face identification? A study using a virtual reality display with integrated eye-tracking and pupillometry

Liu, H., Laeng, B., & Czajkowski, N. O. (2020) · Acta Psychologica · doi:10.1016/j.actpsy.2020.103142 · Cited by 24

Effect of Speech-to-Noise Ratio and Luminance on a Range of Current and Potential Pupil Response Measures to Assess Listening Effort

Książek, P., Zekveld, A. A., Wendt, D., Fiedler, L., Lunner, T., & Kramer, S. E. (2021) · Trends in Hearing · doi:10.1177/23312165211009351 · Cited by 21

Predictable Robots for Autistic Children—Variance in Robot Behaviour, Idiosyncrasies in Autistic Children’s Characteristics, and Child–Robot Engagement

Schadenberg, B. R., Reidsma, D., Evers, V., Davison, D. P., Li, J. J., Heylen, D., Neves, C., Alvito, P., Shen, J., Pantić, M., et al. (2021) · ACM Transactions on Computer-Human Interaction · doi:10.1145/3468849 · Cited by 23

Individual pupil size changes as a robust indicator of cognitive familiarity differences

Franzen, L., Cabugao, A., Grohmann, B., Elalouf, K., & Johnson, A. P. (2022) · PLoS ONE · doi:10.1371/journal.pone.0262753 · Cited by 27

Expectations boost the reconstruction of auditory features from electrophysiological responses to noisy speech

Corcoran, A. W., Perera, R., Koroma, M., Kouider, S., Hohwy, J., & Andrillon, T. (2022) · Cerebral Cortex · doi:10.1093/cercor/bhac094 · Cited by 19

Eye-Tracking in Interpreting Studies: A Review of Four Decades of Empirical Studies

Hu, T., Wang, X., & Xu, H. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.872247 · Cited by 21

Gazing through the bubble: an experimental investigation into financial risk-taking using eye-tracking

Toma, F.-M., Cepoi, C.-O., Kubinschi, M. N., & Miyakoshi, M. (2023) · Financial Innovation · doi:10.1186/s40854-022-00444-4 · Cited by 22

Quenching of spontaneous fluctuations by attention in human visual cortex

Broday-Dvir, R., Grossman, S., Furman‐Haran, E., & Malach, R. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.12.089 · Cited by 19

Pupillary responses to a cognitive effort task in schizophrenia

Reddy, L. F., Reavis, E. A., Wynn, J. K., & Green, M. F. (2018) · Schizophrenia Research · doi:10.1016/j.schres.2018.03.005 · Cited by 21

Eye behaviour as a hazard perception measure

Iskander, J., Hanoun, S., Hettiarachchi, I. T., Hossny, M., Saleh, K., Zhou, H., Nahavandi, S., & Bhatti, A. (2018) · IEEE International Systems Conference (SysCon) · doi:10.1109/syscon.2018.8369509 · Cited by 21

Assessing the relationship between pupil diameter and visuocortical activity

Thigpen, N., Bradley, M. M., & Keil, A. (2018) · Journal of Vision · doi:10.1167/18.6.7 · Cited by 21

Motivation alters implicit temporal attention through sustained and transient mechanisms: A behavioral and pupillometric study

Massar, S. A. A., Sasmita, K., Lim, J., & Chee, M. W. L. (2018) · Psychophysiology · doi:10.1111/psyp.13275 · Cited by 24

Linguistic focus guides attention during the encoding and refreshing of Working Memory content

Káldi, T., & Babarczy, A. (2020) · Journal of Memory and Language · doi:10.1016/j.jml.2020.104187 · Cited by 23

Tracking the Dynamics of Mind Wandering: Insights from Pupillometry

Pelagatti, C., Binda, P., & Vannucci, M. (2018) · Journal of Cognition · doi:10.5334/joc.41 · Cited by 27

A multi-tasking environment for manipulating and measuring neural correlates of cognitive workload

John, M. S., Kobus, D. A., & Morrison, J. G. (2003) · Conference on Human Factors and Power Plants · doi:10.1109/hfpp.2002.1042861 · Cited by 21

Behavioral Research and Practical Models of Drivers' AttentionPreprint

Kotseruba, I., & Tsotsos, J. K. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2104.05677 · Cited by 35

Measuring Cognitive Effort with Pupillary Activity and Fixational Eye Movements When Reading

Rodziewicz, A., Krejtz, K., Duchowski, A. T., & Krejtz, I. (2022) · ACM Symposium on Eye Tracking Research and Applications (ETRA) · doi:10.1145/3517031.3529636 · Cited by 20

The effect of stroboscopic effect on human health indicators

Zhao, X., Hou, D., Lin, Y., & Xü, W. (2019) · Lighting Research & Technology · doi:10.1177/1477153519871688 · Cited by 20

Fluctuation in pupil size and spontaneous blinks reflect story transportation

Kaakinen, J. K., & Simola, J. (2020) · Journal of Eye Movement Research · doi:10.16910/jemr.13.3.6 · Cited by 20

Pupil dilation reflects the authenticity of received nonverbal vocalizations

Cosme, G., Rosa, P. J., Lima, C. F., Tavares, V., Scott, S. K., Chen, S., Wilcockson, T. D. W., Crawford, T. J., & Prata, D. P. (2021) · Scientific Reports · doi:10.1038/s41598-021-83070-x · Cited by 22

Effects of Data Visualization Choices on Psychophysiological Responses, Judgment, and Audit Quality

Rose, A. M., Rose, J. M., Rotaru, K., Sanderson, K., & Thibodeau, J. C. (2021) · Journal of Information Systems · doi:10.2308/isys-2020-046 · Cited by 20

Impacts of Color Coding on Programming Learning in Multimedia Learning: Moving Toward a Multimodal Methodology

Liu, Y., Ma, W., Guo, X., Lin, X., Wu, C., & Zhu, T. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.773328 · Cited by 20

Influence of cognitive processes on driver decision-making in dilemma zone

Kaul, R., & Jipp, M. (2023) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2023.100805 · Cited by 21

Strategic stabilization of arousal boosts sustained attention

de Gee, J. W., Mridha, Z., Hudson, M., Shi, Y., Ramsaywak, H., Smith, S., Karediya, N., Thompson, M., Jaspe, K., Jiang, H., et al. (2024) · Current Biology · doi:10.1016/j.cub.2024.07.070 · Cited by 27

Fine‐grained versus categorical: Pupil size differentiates between strategies for spatial working memory performance

Starc, M., Anticevic, A., & Repovš, G. (2017) · Psychophysiology · doi:10.1111/psyp.12828 · Cited by 20

Applying fractal analysis to pupil dilation for measuring complexity in a process monitoring task

Kim, J. H., & Yang, X. (2017) · Applied Ergonomics · doi:10.1016/j.apergo.2017.06.002 · Cited by 20

Differentiating between Models of Perceptual Decision Making Using Pupil Size Inferred Confidence

Kawaguchi, K., Clery, S., Pourriahi, P., Seillier, L., Haefner, R. M., & Nienborg, H. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.0735-18.2018 · Cited by 21

Infrared Camera-Based Non-contact Measurement of Brain Activity From Pupillary Rhythms

Park, S., & Whang, M. (2018) · Frontiers in Physiology · doi:10.3389/fphys.2018.01400 · Cited by 21

Characterising monitoring processes in event-based prospective memory: Evidence from pupillometry

Moyes, J., Sari-Sarraf, N., & Gilbert, S. J. (2018) · Cognition · doi:10.1016/j.cognition.2018.12.007 · Cited by 20

Benefit of Higher Maximum Force Output on Listening Effort in Bone-Anchored Hearing System Users: A Pupillometry Study

Bianchi, F., Wendt, D., Wassard, C., Maas, P., Lunner, T., Rosenbom, T., & Holmberg, M. (2019) · Ear and Hearing · doi:10.1097/aud.0000000000000699 · Cited by 20

Resting-State Fluctuations Underlie Free and Creative Verbal Behaviors in the Human Brain

Broday-Dvir, R., & Malach, R. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhaa221 · Cited by 21

Pupillometry Assessment of Speech Recognition and Listening Experience in Adult Cochlear Implant Patients

Russo, F., Hoen, M., Karoui, C., Demarcy, T., Ardoint, M., Tuset, M., Seta, D. D., Sterkers, O., Lahlou, G., & Mosnier, I. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.556675 · Cited by 24

Pupillometric evidence for the locus coeruleus-noradrenaline system facilitating attentional processing of action-triggered visual stimuli

Kihara, K., Takeuchi, T., Yoshimoto, S., Kondo, H. M., & Kawahara, J. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2015.00827 · Cited by 20

Leveraging data complexity

Moloney, K. P., Jacko, J. A., Vidaković, B., Sainfort, F., Leonard, V. K., & Shi, B. (2006) · ACM Transactions on Computer-Human Interaction · doi:10.1145/1183456.1183460 · Cited by 20

Focused and Sustained Attention

Cohen, R. A. (2013) · Springer eBooks · doi:10.1007/978-0-387-72639-7_6 · Cited by 20

The pupillary response to sentences: Influences of listening set and deep structure

Stanners, R. F., Headley, D. B., & Clark, W. R. (1972) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(72)80086-0 · Cited by 20

Emotional arousal lingers in time to bind discrete episodes in memory

Clewett, D., & McClay, M. (2024) · Cognition & Emotion · doi:10.1080/02699931.2023.2295853 · Cited by 39

Oxytocin induces the formation of distinctive cortical representations and cognitions biased toward familiar mice

Wolf, D., Hartig, R., Zhuo, Y., Scheller, M. F., Articus, M., Moor, M., Grinevich, V., Linster, C., Russo, E., Weber‐Fahr, W., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-50113-6 · Cited by 21

Looking into the Black Box: Using Gaze and Pupillometric Data to Probe How Cognitive Load Changes with Mental Tasks

Karch, J. M., Valles, J. C. G., & Sevian, H. (2019) · Journal of Chemical Education · doi:10.1021/acs.jchemed.9b00014 · Cited by 20

Using the eye-tracking method to study consumer online health information search behaviour

Jacek Gwizdka, A., Zhang, Y., & Dillon, A. P. (2019) · Aslib Journal of Information Management · doi:10.1108/ajim-02-2019-0050 · Cited by 20

Effortfulness of visual working memory: Gauged by physical exertion.

Xie, W., & Zhang, W. (2023) · Journal of Experimental Psychology General · doi:10.1037/xge0001391 · Cited by 21

Pupil dilation as cognitive load measure in instructional videos on complex chemical representations

Rodemer, M., Karch, J. M., & Bernholt, S. (2023) · Frontiers in Education · doi:10.3389/feduc.2023.1062053 · Cited by 31

Neural α Oscillations and Pupil Size Differentially Index Cognitive Demand under Competing Audiovisual Task Conditions

Kraus, F., Tune, S., Obleser, J., & Herrmann, B. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.2181-22.2023 · Cited by 19

Toward Automated Instructor Pilots in Legacy Air Force Systems: Physiology-Based Flight Difficulty Classification Via Machine Learning

Caballero, W. N., Gaw, N. B., Jenkins, P. R., & Johnstone, C. (2022) · Expert Systems with Applications · doi:10.1016/j.eswa.2023.120711 · Cited by 19

Value estimation versus effort mobilization: a general dissociation between ventromedial and dorsomedial prefrontal cortex

Clairis, N., & Pessiglione, M. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.1176-23.2024 · Cited by 19

ICT Solutions for the OR.C.HE.S.T.R.A. Project: From Personalized Selection to Enhanced Fruition of Cultural Heritage Data

Barile, F., Calandra, D., Caso, A., D’Auria, D., Mauro, D. D., Cutugno, F., & Rossi, S. (2014) · International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) · doi:10.1109/sitis.2014.12 · Cited by 19

Pupillary dilation and mediation processes during paired-associate learning.

Colman, F. D., & Paivio, A. (1970) · Canadian Journal of Psychology/Revue Canadienne de Psychologie · doi:10.1037/h0082862 · Cited by 19

Using Pupillometry to Investigate Sentence Comprehension in Children With and Without Specific Language Impairment

Lum, J. A. G., Youssef, G. J., & Clark, G. M. (2017) · Journal of Speech Language and Hearing Research · doi:10.1044/2017_jslhr-l-16-0158 · Cited by 19

Infants’ brain responses to pupillary changes in others are affected by race

Kelsey, C. M., Krol, K. M., Kret, M. E., & Großmann, T. (2019) · Scientific Reports · doi:10.1038/s41598-019-40661-z · Cited by 19

Effects of superiors’ compensation structures on psychophysiological responses and real earnings management decisions of subordinate managers

Brink, A. G., Gouldman, A., Rose, J. M., & Rotaru, K. (2020) · Management Accounting Research · doi:10.1016/j.mar.2020.100691 · Cited by 21

Mind the social feedback: effects of tDCS applied to the left DLPFC on psychophysiological responses during the anticipation and reception of social evaluations

Allaert, J., Raedt, R. D., Sánchez-López, Á., Baeken, C., & Vanderhasselt, M. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa066 · Cited by 17

Toward a formal theory of proactivity

Lieder, F., & Iwama, G. (2021) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-021-00884-y · Cited by 21

Exploring the numerical mind by eye-tracking: a special issue

Hartmann, M., & Fischer, M. H. (2016) · Psychological Research · doi:10.1007/s00426-016-0759-0 · Cited by 22

The role of motivation and volition in economic decisions: Evidence from eye movements and pupillometry

Ludwig, J., Jaudas, A., & Achtziger, A. (2019) · Journal of Behavioral Decision Making · doi:10.1002/bdm.2152 · Cited by 21

Accommodative dynamics and attention: the influence of manipulating attentional capacity on accommodative lag and variability

Redondo, B., Vera, J., Molina, R., Davies, L. N., & Jiménez, R. (2020) · Ophthalmic and Physiological Optics · doi:10.1111/opo.12690 · Cited by 19

From Neo-Behaviorism to Neuroscience: Perspectives on the Origins and Future Contributions of Cognitive Load Research

Clark, R. E., & Clark, V. P. (2010) · Cambridge University Press eBooks · doi:10.1017/cbo9780511844744.012 · Cited by 19

Pupil dilation and its relationship to information processing during reading and listening.

Carver, R. P. (1971) · Journal of Applied Psychology · doi:10.1037/h0030664 · Cited by 19

Effort drives saccade selection

Koevoet, D., Zantwijk, L. V., Naber, M., Mathôt, S., der Stigchel, S. V., & Strauch, C. (2024) · eLife · doi:10.7554/elife.97760.3 · Cited by 30

Enhancing Human-AI perceptual alignment through visual-haptic feedback system for autonomous drones

Wu, J., Sun, B., You, H., & Du, J. (2025) · International Journal of Industrial Ergonomics · doi:10.1016/j.ergon.2025.103780 · Cited by 20

Sometimes More Is Better, and Sometimes Less Is Better: Task Complexity Moderates the Response Time Accuracy Correlation

Becker, N., Schmitz, F., Göritz, A. S., & Spinath, F. M. (2016) · Journal of Intelligence · doi:10.3390/jintelligence4030011 · Cited by 18

Developmental Changes in Question-Asking

Jones, A. P., Swaboda, N., & Ruggeri, A. (2020) · Cambridge University Press eBooks · doi:10.1017/9781108553803.007 · Cited by 22

Beyond visual fixations and gaze behaviour. Using pupillometry to examine the mechanisms in the planning and motor performance of a golf putt

Carnegie, E., Marchant, D., Towers, S., & Ellison, P. (2020) · Human Movement Science · doi:10.1016/j.humov.2020.102622 · Cited by 17

Reliability and Validity of Pupillary Response During Dual-Task Balance in Parkinson Disease

Kahya, M., Lyons, K. E., Pahwa, R., Akinwuntan, A., He, J., & Devos, H. (2020) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2020.08.008 · Cited by 18

Facial temperature and pupil size as indicators of internal state in primates

Kuraoka, K., & Nakamura, K. (2022) · Neuroscience Research · doi:10.1016/j.neures.2022.01.002 · Cited by 21

Effects of Uncertainty Visualization on Attention, Arousal, and Judgment

Rose, A. M., Rose, J. M., Rotaru, K., Sanderson, K., & Thibodeau, J. C. (2022) · Behavioral Research in Accounting · doi:10.2308/bria-2021-011 · Cited by 18

Task-related hemodynamic responses in human early visual cortex are modulated by task difficulty and behavioral performance

Burlingham, C. S., Ryoo, M., Roth, Z. N., Mirbagheri, S., Heeger, D. J., & Merriam, E. P. (2022) · eLife · doi:10.7554/elife.73018 · Cited by 20

The influence of pupil responses on subjective brightness perception

Wardhani, I. K., Boehler, C. N., & Mathôt, S. (2022) · Perception · doi:10.1177/03010066221094757 · Cited by 18

Interactions Between Visual Working Memory, Attention, and Color Categories: A Pupillometry Study

Wilschut, T., & Mathôt, S. (2022) · Journal of Cognition · doi:10.5334/joc.208 · Cited by 18

Under Pressure: Cognitive Effort During Website-Based Task Performance is Associated with Pupil Size, Visual Exploration, and Users’ Intention to Recommend

Wals, S. F., & Wichary, S. (2022) · International Journal of Human-Computer Interaction · doi:10.1080/10447318.2022.2098576 · Cited by 20

Trying Harder: How Cognitive Effort Sculpts Neural Representations during Working Memory

Master, S. L., Li, S., & Curtis, C. E. (2024) · Journal of Neuroscience · doi:10.1523/jneurosci.0060-24.2024 · Cited by 21

The Locus Coeruleus: Where Cognitive and Emotional Processing Meet the Eye

Huang, R., & Clewett, D. (2024) · Springer eBooks · doi:10.1007/978-3-031-54896-3_1 · Cited by 23

Navigating Wall-sized Displays with the Gaze: a Proposal for Cultural Heritage.

Calandra, D., Mauro, D. D., Cutugno, F., & Martino, S. D. (2016) · Advanced Visual Interfaces · Cited by 18

The impact of cognitive load on processing efficiency and performance effectiveness in anxiety: evidence from event-related potentials and pupillary responses

Hepsomali, P., Hadwin, J. A., Liversedge, S. P., Degno, F., & Garner, M. J. (2019) · Experimental Brain Research · doi:10.1007/s00221-018-05466-y · Cited by 18

Separable pupillary signatures of perception and action during perceptual multistability

Brascamp, J. W., de Hollander, G., Wertheimer, M. D., DePew, A. N., & Knapen, T. H. J. (2021) · eLife · doi:10.7554/elife.66161 · Cited by 17

Lateral Asymmetries of Pupillary Responses

Kim, M., Barrett, A. M., & Heilman, K. M. (1998) · Cortex · doi:10.1016/s0010-9452(08)70778-0 · Cited by 18

EyeFrame: real-time memory aid improves human multitasking via domain-general eye tracking procedures

Taylor, P. (2015) · Frontiers in ICT · doi:10.3389/fict.2015.00017 · Cited by 18

Cognitive State Measurement on Learning Materials by Utilizing Eye Tracker and Thermal Camera

Ishimaru, S., Jacob, S., Roy, A., Bukhari, S. S., Heisel, C., GroBmann, N., Thees, M., Kühn, J., & Dengel, A. R. (2017) · IAPR International Conference on Document Analysis and Recognition (ICDAR) · doi:10.1109/icdar.2017.378 · Cited by 19

Human Voice as a Measure of Mental Load Level

Boyer, S., Paubel, P., Ruiz, R., Yagoubi, R. E., & Daurat, A. (2018) · Journal of Speech Language and Hearing Research · doi:10.1044/2018_jslhr-s-18-0066 · Cited by 19

A Pupillometric Examination of Cognitive Control in Taxonomic and Thematic Semantic Memory

Geller, J., Landrigan, J.-F., & Mirman, D. (2019) · Journal of Cognition · doi:10.5334/joc.56 · Cited by 22

Introduction to the special issue on neuro‐information science

Jacek Gwizdka, A., Moshfeghi, Y., & Wilson, M. L. (2019) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24263 · Cited by 18

Are you really angry?

Chen, L., Gedeon, T., Hossain, M. Z., & Caldwell, S. (2017) · Australian Conference on Computer-Human Interaction (OzCHI) · doi:10.1145/3152771.3156147 · Cited by 17

Encoding dynamics in free recall: Examining attention allocation with pupillometry

Nash Unsworth, A., & Miller, A. L. (2020) · Memory & Cognition · doi:10.3758/s13421-020-01077-7 · Cited by 17

Post-error Slowing Reflects the Joint Impact of Adaptive and Maladaptive Processes During Decision Making

Fievez, F., Derosière, G., Verbruggen, F., & Duqué, J. (2022) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2022.864590 · Cited by 21

Multitasking While Driving: Central Bottleneck or Problem State Interference?

Held, M., Rieger, J. W., & Borst, J. P. (2022) · Human Factors The Journal of the Human Factors and Ergonomics Society · doi:10.1177/00187208221143857 · Cited by 22

Do Task Sets Compete in the Stroop Task and Other Selective Attention Paradigms?

Parris, B. A., Hasshim, N., Ferrand, L., & Augustinova, M. (2023) · Journal of Cognition · doi:10.5334/joc.272 · Cited by 18

Impact of light on task‐evoked pupil responses during cognitive tasks

Campbell, I., Beckers, E., Sharifpour, R., Berger, A., Paparella, I., Aizpurua, J. F. B., Koshmanova, E., Mortazavi, N., Sherif, S., & Vandewalle, G. (2023) · Journal of Sleep Research · doi:10.1111/jsr.14101 · Cited by 18

Understanding the Impact of the Reality-Virtuality Continuum on Visual Search Using Fixation-Related Potentials and Eye Tracking Features

Chiossi, F., Gruenefeld, U., Hou, B. J., Newn, J., Ou, C., Liao, R., Welsch, R., & Mayer, S. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3676528 · Cited by 17

Estimation of driver's mental workload using visual information and heart rate variability

Kawakita, E., Itoh, M., & Oguri, K. (2010) · IEEE International Conference on Intelligent Transportation Systems (ITSC) · doi:10.1109/itsc.2010.5625079 · Cited by 17

Pupil dilations induced by barely conscious reward goal-priming

Takarada, Y., & Nozaki, D. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.07.020 · Cited by 15

A view to a click: Pupil size changes as input command in eyes-only human-computer interaction

Ehlers, J., Strauch, C., & Huckauf, A. (2018) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2018.06.003 · Cited by 17

Salience is in the eye of the beholder: Increased pupil size reflects acoustically salient variables

Boswijk, V., Loerts, H., & Hilton, N. H. (2020) · Ampersand · doi:10.1016/j.amper.2020.100061 · Cited by 19

Eye Gaze Patterns of Decision Process in Prosocial Behavior

Peshkovskaya, A. G., & Myagkov, M. (2020) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2020.525087 · Cited by 17

Musical and Bodily Predictors of Mental Effort in String Quartet Music: An Ecological Pupillometry Study of Performers and Listeners

Bishop, L., Jensenius, A. R., & Laeng, B. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2021.653021 · Cited by 19

Pupillometry: the Index of Cognitive Activity in a dual-task study

Demberg, V. (2013) · eScholarship (California Digital Library) · Cited by 17

Why and Under What Conditions Does Loss Aversion Emerge?1

Nagaya, K. (2021) · Japanese Psychological Research · doi:10.1111/jpr.12385 · Cited by 24

Pupillary correlates of individual differences in long-term memory

Robison, M. K., Trost, J. M., Schor, D., Gibson, B. S., & Healey, M. K. (2022) · Psychonomic Bulletin & Review · doi:10.3758/s13423-022-02081-5 · Cited by 16

Cognitive workload affects ocular accommodation and pupillary response

Mihelčič, M., & Podlešek, A. (2022) · Journal of Optometry · doi:10.1016/j.optom.2022.05.001 · Cited by 16

Pupil response speed as a marker of cognitive fatigue in early Multiple Sclerosis☆

Guillemin, C., Hammad, G. H., Read, J., Requier, F., Charonitis, M., Delrue, G., Vandeleene, N., Lommers, É., Maquet, P., & Collette, F. (2022) · Multiple Sclerosis and Related Disorders · doi:10.1016/j.msard.2022.104001 · Cited by 18

Keeping an eye on cost: What can eye tracking tell us about attention to cost information in discrete choice experiments?

Genie, M. G., Ryan, M., & Krucien, N. (2023) · Health Economics · doi:10.1002/hec.4658 · Cited by 16

EEG‐Based Preference Classification for Neuromarketing Application

Sourov, I. H., Ahmed, F. A., Opu, M. T. I., Mutasim, A. K., Bashar, M. R., Tipu, R. S., Amin, M. A., & Islam, M. K. (2023) · Computational Intelligence and Neuroscience · doi:10.1155/2023/4994751 · Cited by 16

Pupillary changes in two memory tasks

Beatty, J., & Kahneman, D. J. (1966) · Psychonomic Science · doi:10.3758/bf03328444 · Cited by 216

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