The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Pupillary responses index cognitive resource limitations
Abstract
Cognitive task‐evoked pupillary responses reliably index information‐processing loads. However, previous studies have reported inconsistent findings regarding the nature of the pupillary response when processing demands approach or exceed available processing resources. This condition was examined in 22 normal undergraduates by using pupillometric recordings during a digit span recall task, with 5 (low load), 9 (moderate load), and 13 (excessive load) digits per string. Pupillary responses increased systematically with increased processing load (to‐be‐recalled digits) until the limit of available resources (memory capacity of 7 ± 2 digits), when they reached asymptote and then declined with resource overload (>9 digits). These findings suggest that pupillary responses increase systematically with increased processing demands that are below resource limits, change little during active processing at or near resource limits, and begin to decline when processing demands exceed available resources.
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Cites
The magical number seven, plus or minus two: Some limits on our capacity for processing information.
Miller, G. A. (1956) · Psychological Review · doi:10.1037/h0043158 · Cited by 17,812
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 17,161
Handbook of perception and human performance
Boff, K. R., Kaufman, L., & Thomas, J. P. (1986) · Wiley eBooks · Cited by 4,031
Task-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
Cronly-Dillon, J. R. (1991) · UCL Discovery (University College London) · Cited by 483
The Pupil. Anatomy, Physiology and Clinical Applications.
DIAMOND, J. P. (2001) · British Journal of Ophthalmology · doi:10.1136/bjo.85.1.121e · Cited by 332
The Pupillary Response in Cognitive Psychophysiology and Schizophreniaa
STEINHAUER, S. R., & HAKEREM, G. (1992) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.1992.tb22845.x · Cited by 206
Characterizing attentional resources.
Hirst, W., & Kalmar, D. (1987) · Journal of Experimental Psychology: General · doi:10.1037//0096-3445.116.1.68 · Cited by 203
INFORMATION PROCESSING VS PUPIL DIAMETER
Poock, G. K. (1973) · Perceptual and Motor Skills · doi:10.2466/pms.1973.37.3.1000 · Cited by 81
Granholm, E., Asarnow, R. F., & Marder, S. R. (1996) · Neuropsychology · doi:10.1037/0894-4105.10.1.11 · Cited by 59
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Cited by
Pupil dilation as an index of effort in cognitive control tasks: A review
van der Wel, P., & van Steenbergen, H. (2018) · Psychonomic Bulletin & Review · doi:10.3758/s13423-018-1432-y · Cited by 928
Pupillometry: A Window to the Preconscious?
Laeng, B., Sirois, S., & Gredebäck, G. (2012) · Perspectives on Psychological Science · doi:10.1177/1745691611427305 · Cited by 921
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
Beyond eye gaze: What else can eyetracking reveal about cognition and cognitive development?
Eckstein, M. K., Guerra-Carrillo, B., Miller Singley, A. T., & Bunge, S. A. (2017) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2016.11.001 · Cited by 686
Pupil Response as an Indication of Effortful Listening: The Influence of Sentence Intelligibility
Zekveld, A. A., Kramer, S. E., & Festen, J. M. (2010) · Ear & Hearing · doi:10.1097/aud.0b013e3181d4f251 · Cited by 437
Metadata
- Authors
- GRANHOLM, E., ASARNOW, R. F., SARKIN, A. J., & DYKES, K. L.
- Venue
- Psychophysiology
- Publisher
- Wiley
- Published
- 1996-07
- Volume
- 33
- Issue
- 4
- Pages
- 457-461
- ISSN
- 0048-5772 (ISSN-L)
- 1469-8986
- OpenAlex
- W2171934417
- Cited by
- 462
- References
- 13
- FWCI
- 0.91
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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