
Baseline Pupil Size Seems Unrelated to Fluid Intelligence, Working Memory Capacity, and Attentional Control
References
- Ackerman, P. L., & Hambrick, D. Z. (2020). A primer on assessing intelligence in laboratory studies. Intelligence, 80,
101440 . DOI: 10.1016/j.intell.2020.101440 - Alnæs, D., Sneve, M. H., Espeseth, T., Endestad, T., van de Pavert, S. H. P., & Laeng, B. (2014). Pupil size signals mental effort deployed during multiple object tracking and predicts brain activity in the dorsal attention network and the locus coeruleus. Journal of Vision, 14(4),
1 . DOI: 10.1167/14.4.1 - Aminihajibashi, S., Hagen, T., Foldal, M. D., Laeng, B., & Espeseth, T. (2019). Individual differences in resting-state pupil size: Evidence for association between working memory capacity and pupil size variability. International Journal of Psychophysiology, 140, 1–7. DOI: 10.1016/j.ijpsycho.2019.03.007
- Aston-Jones, G., & Cohen, J. D. (2005). An integrative theory of locus coeruleus-norepinephrine function: Adaptive gain and optimal performance. Annual Review of Neuroscience, 28, 403–450. DOI: 10.1146/annurev.neuro.28.061604.135709
- Aston-Jones, G., Rajkowski, J., & Cohen, J. (1999). Role of locus coeruleus in attention and behavioral flexibility. Biological Psychiatry, 46(9), 1309–1320. DOI: 10.1016/S0006-3223(99)00140-7
- Baddeley, A. D., & Hitch, G. (1974).
Working Memory . In G. H. Bower (Ed.), Psychology of Learning and Motivation, 8, 47–89. Academic Press. DOI: 10.1016/S0079-7421(08)60452-1 - Birren, J. E., Casperson, R. C., & Botwinick, J. (1950). Age Changes in Pupil Size. Journal of Gerontology, 5(3), 216–221. DOI: 10.1093/geronj/5.3.216
- Cattell, R. B. (1963). Theory of fluid and crystallized intelligence: A critical experiment. Journal of Educational Psychology, 54(1), 1–22. DOI: 10.1037/h0046743
- Chandler, D. J., Gao, W.-J., & Waterhouse, B. D. (2014). Heterogeneous organization of the locus coeruleus projections to prefrontal and motor cortices. Proceedings of the National Academy of Sciences of the United States of America, 111(18), 6816–6821. DOI: 10.1073/pnas.1320827111
- Coors, A., Breteler, M. M. B., & Ettinger, U. (2022). Processing speed, but not working memory or global cognition, is associated with pupil diameter during fixation. Psychophysiology, 59(11),
e14089 . DOI: 10.1111/psyp.14089 - Cowan, N. (1988). Evolving conceptions of memory storage, selective attention, and their mutual constraints within the human information-processing system. Psychological Bulletin, 104, 163–191. DOI: 10.1037/0033-2909.104.2.163
- Dienes, Z. (2014). Using Bayes to get the most out of non-significant results. Frontiers in psychology, 5, 781. DOI: 10.3389/fpsyg.2014.00781
- Draheim, C., Mashburn, C. A., Martin, J. D., & Engle, R. W. (2019). Reaction time in differential and developmental research: A review and commentary on the problems and alternatives. Psychological bulletin, 145(5), 508–535. DOI: 10.1037/bul0000192
- Draheim, C., Tsukahara, J. S., Martin, J. D., Mashburn, C. A., & Engle, R. W. (2021). A toolbox approach to improving the measurement of attention control. Journal of Experimental Psychology: General, 150(2), 242–275. DOI: 10.1037/xge0000783
- Fukuda, K., Vogel, E., Mayr, U., & Awh, E. (2010). Quantity, not quality: The relationship between fluid intelligence and working memory capacity. Psychonomic Bulletin & Review, 17(5), 673–679. DOI: 10.3758/17.5.673
- Guttman, L. (1945). A basis for analyzing test-retest reliability. Psychometrika, 10, 255–282. DOI: 10.1007/BF02288892
- Hedge, C., Powell, G., & Sumner, P. (2018). The reliability paradox: Why robust cognitive tasks do not produce reliable individual differences. Behavior research methods, 50, 1166–1186. DOI: 10.3758/s13428-017-0935-1
- Heitz, R. P., Schrock, J. C., Payne, T. W., & Engle, R. W. (2008). Effects of incentive on working memory capacity: Behavioral and pupillometric data. Psychophysiology, 45(1), 119–129. DOI: 10.1111/j.1469-8986.2007.00605.x
- Hess, E. H., & Polt, J. M. (1960). Pupil size as related to interest value of visual stimuli. Science, 132, 349–350. DOI: 10.1126/science.132.3423.349
- Hess, E. H., & Polt, J. M. (1964). Pupil size in relation to mental activity during simple problem-solving. Science, 143(Whole No. 3611), 1190–1192. DOI: 10.1126/science.143.3611.1190
- Heydasch, T. (2014). The Hagen Matrices Test (HMT). DOI: 10.13140/RG.2.2.31433.75361
- Joshi, S., Li, Y., Kalwani, R. M., & Gold, J. I. (2016). Relationships between Pupil Diameter and Neuronal Activity in the Locus Coeruleus, Colliculi, and Cingulate Cortex. Neuron, 89(1), 221–234. DOI: 10.1016/j.neuron.2015.11.028
- Kahneman, D., & Beatty, J. (1966). Pupil diameter and load on memory. Science, 154(3756), 1583–1585. DOI: 10.1126/science.154.3756.1583
- Kane, M. J., Hambrick, D. Z., & Conway, A. R. A. (2005). Working Memory Capacity and Fluid Intelligence Are Strongly Related Constructs: Comment on Ackerman, Beier, and Boyle (2005). Psychological Bulletin, 131(1), 66–71. DOI: 10.1037/0033-2909.131.1.66
- Keene, P. A., deBettencourt, M. T., Awh, E., & Vogel, E. K. (2022). Pupillometry signatures of sustained attention and working memory. Attention, Perception, & Psychophysics, 84(8), 2472–2482. DOI: 10.3758/s13414-022-02557-5
- Laeng, B., Sirois, S., & Gredebäck, G. (2012). Pupillometry: A window to the preconscious? Perspectives on Psychological Science, 7(1), 18–27. DOI: 10.1177/1745691611427305
- Mathôt, S. (2018). Pupillometry: Psychology, physiology, and function. Journal of Cognition, 1(1). DOI: 10.5334/joc.18
- Mathôt, S., Schreij, D., & Theeuwes, J. (2012). OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314–324. DOI: 10.3758/s13428-011-0168-7
- Mathôt, S., & Vilotijević, A. (2022). Methods in cognitive pupillometry: Design, preprocessing, and statistical analysis. Behavior Research Methods. DOI: 10.3758/s13428-022-01957-7
- Mielicki, M. K., Koppel, R. H., Valencia, G., & Wiley, J. (2018). Measuring working memory capacity with the letter–number sequencing task: Advantages of visual administration. Applied Cognitive Psychology, 32(6), 805–814. DOI: 10.1002/acp.3468
- Miller, G. A. (1994). The magical number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 101(2), 343–352. DOI: 10.1037/0033-295X.101.2.343
- Murphy, P. R., O’Connell, R. G., O’Sullivan, M., Robertson, I. H., & Balsters, J. H. (2014). Pupil diameter covaries with BOLD activity in human locus coeruleus. Human Brain Mapping, 35(8), 4140–4154. DOI: 10.1002/hbm.22466
- Murphy, P. R., Robertson, I. H., Balsters, J. H., & O’connell, R. G. (2011). Pupillometry and P3 index the locus coeruleus-noradrenergic arousal function in humans. Psychophysiology, 48(11), 1532–1543. DOI: 10.1111/j.1469-8986.2011.01226.x
- Raven, J., Raven, J. C., & Court, J. H. (2000). Manual for Raven’s progressive matrices and vocabulary scales. Section 3, Standard progressive matrices (including the Parallel and Plus versions). OPP Ltd.
- Robison, M. K., & Brewer, G. A. (2022). Individual differences in working memory capacity, attention control, fluid intelligence, and pupillary measures of arousal. Journal of Experimental Psychology: Learning, Memory, and Cognition, 48(9), 1296–1310. DOI: 10.1037/xlm0001125
- Robison, M. K., & Campbell, S. (2023). Baseline pupil diameter does not correlate with fluid intelligence. Psychonomic Bulletin & Review. DOI: 10.3758/s13423-023-02273-7
- Robison, M. K., Coyne, J. T., Sibley, C., Brown, N. L., Neilson, B., & Foroughi, C. (2022). An examination of relations between baseline pupil measures and cognitive abilities. Psychophysiology, 59(12). DOI: 10.1111/psyp.14124
- Robison, M. K., Ralph, K. J., Gondoli, D. M., Torres, A., Campbell, S., Brewer, G. A., & Gibson, B. S. (2023). Testing locus coeruleus-norepinephrine accounts of working memory, attention control, and fluid intelligence. Cognitive, Affective, & Behavioral Neuroscience, 1–45. DOI: 10.3758/s13415-023-01096-2
- Spearman, C. (1904). The proof and measurement of association between two things. American Journal of Psychology, 15, 72–101. DOI: 10.2307/1412159
- Sperling, G. (1960). The information available in brief visual presentations. Psychological Monographs: General and Applied, 74(11), 1–29. DOI: 10.1037/h0093759
- Theeuwes, J. (1992). Perceptual selectivity for color and form. Perception & Psychophysics, 51, 599–606 DOI: 10.3758/BF03211656
- TheEyeTribe. (n.d.). The eye tribe tracker. Retrieved from
https://theeyetribe.com/ - Tryon, W. W. (1975). Pupillometry: A Survey of Sources of Variation. Psychophysiology, 12(1), 90–93. DOI: 10.1111/j.1469-8986.1975.tb03068.x
- Tsukahara, J. S., & Engle, R. W. (2021a). Fluid intelligence and the locus coeruleus–norepinephrine system. Proceedings of the National Academy of Sciences, 118(46),
e2110630118 . DOI: 10.1073/pnas.2110630118 - Tsukahara, J. S., & Engle, R. W. (2021b). Is baseline pupil size related to cognitive ability? Yes (under proper lighting conditions). Cognition,
211 . DOI: 10.1016/j.cognition.2021.104643 - Tsukahara, J. S., Harrison, T. L., & Engle, R. W. (2016). The relationship between baseline pupil size and intelligence. Cognitive Psychology, 91, 109–123. DOI: 10.1016/j.cogpsych.2016.10.001
- Unsworth, N., Fukuda, K., Awh, E., & Vogel, E. K. (2014). Working memory and fluid intelligence: Capacity, attention control, and secondary memory retrieval. Cognitive Psychology, 71, 1–26. DOI: 10.1016/j.cogpsych.2014.01.003
- Unsworth, N., Miller, A. L., & Robison, M. K. (2021). Is working memory capacity related to baseline pupil diameter? Psychonomic Bulletin & Review, 28, 228–237. DOI: 10.3758/s13423-020-01817-5
- Unsworth, N., & Robison, M. K. (2017). The importance of arousal for variation in working memory capacity and attention control: A latent variable pupillometry study. Journal of Experimental Psychology: Learning, Memory, and Cognition, 43(12), 1962–1987. DOI: 10.1037/xlm0000421
- Unsworth, N., Robison, M. K., & Miller, A. L. (2019). Individual differences in baseline oculometrics: Examining variation in baseline pupil diameter, spontaneous eye blink rate, and fixation stability. Cognitive, Affective & Behavioral Neuroscience, 19(4), 1074–1093. DOI: 10.3758/s13415-019-00709-z
- van der Meer, E., Beyer, R., Horn, J., Foth, M., Bornemann, B., Ries, J., Kramer, J., Warmuth, E., Heekeren, H. R., & Wartenburger, I. (2010). Resource allocation and fluid intelligence: Insights from pupillometry. Psychophysiology, 47(1), 158–169. DOI: 10.1111/j.1469-8986.2009.00884.x
- Van Rossum, G., & Drake, F. L. (2009). Introduction to python 3: python documentation manual part 1. CreateSpace.
- Vilotijević, A., & Mathôt, S. (2023). Functional benefits of cognitively driven pupil-size changes. Wiley Interdisciplinary Reviews: Cognitive Science,
e1672 . DOI: 10.1002/wcs.1672 - Vinutha, H. P., Poornima, B., & Sagar, B. M. (2018).
Detection of Outliers Using Interquartile Range Technique from Intrusion Dataset . In: S. Satapathy, J. Tavares, V. Bhateja & J. Mohanty (Eds.), Information and Decision Sciences. Advances in Intelligent Systems and Computing, 701. Singapore: Springer. DOI: 10.1007/978-981-10-7563-6_53 - Wardhani, I. K., Mathôt, S., Boehler, C. N., & Laeng, B. (2020). Effects of nicotine on pupil size and performance during multiple-object tracking in non-nicotine users. International Journal of Psychophysiology, 158, 45–55. DOI: 10.1016/j.ijpsycho.2020.09.005
- Wechsler, D. (1997). WAIS-III: Administration and scoring manual: Wechsler Adult Intelligence Scale (3rd ed). Psychological Corporation. DOI: 10.1037/t49755-000
DOI: https://doi.org/10.5334/joc.365 | Journal eISSN: 2514-4820
Language: English
Submitted on: Oct 6, 2023
Accepted on: Apr 22, 2024
Published on: May 10, 2024
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
© 2024 Veera Ruuskanen, Thomas Hagen, Thomas Espeseth, Sebastiaan Mathôt, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.