The Nameability Effect and its Importance for Category Learning

117

Abstract

In this review, a new and important nameability effect — the effect of the ease of naming parts of objects on categorical learning — is discussed: new categories are more easily learned when the related objects consist of easy-to-name parts. Although the effect has only recently been described, studies have revealed its importance not only for understanding the nature of category learning, but also for research on the mechanisms of categorization, memory, and cognitive development in general. The origins of the nameability effect, methods of measuring it, and limitations in its manifestation related to task type and category type were also reviewed. Part of the review contains a description of the study of age-specific regularities of the nameability effect and the specifics of its use in adult-guided learning. The nameability effect is compared to the memorability of the stimulus. It is assumed that the nameability can correlate not only with memorability, but alsocausally determine the degree of ease of memorizing stimuli. It is emphasized that higher memorability can be an important factor in categorical learning. It seems important in the future to study the contribution of verbalization processes to the effect of memorability and categorical learning at the same time. The main conclusion of the review is that the nameability effect is an important factor in the success of categorical learning in adults and children from a certain age. This effect needs to be taken into account both in explaining the regularities of learning and in designing the material, for example, by assessing it for the level of nameability.

General Information

Keywords: categorisation, category learning, nameability, verbalisation, memory, cognitive development

Journal rubric: General Psychology

Article type: review article

DOI: https://doi.org/10.17759/jmfp.2023120113

Funding. The reported study was funded by Russian Foundation for Basic Research (RFBR), project number 20-013-00698.

Received: 21.10.2022

Accepted:

For citation: Abaltusov E.D., Afonin M.D., Kotova T.N., Kotov A.A. The Nameability Effect and its Importance for Category Learning [Elektronnyi resurs]. Sovremennaia zarubezhnaia psikhologiia = Journal of Modern Foreign Psychology, 2023. Vol. 12, no. 1, pp. 119–128. DOI: 10.17759/jmfp.2023120113. (In Russ., аbstr. in Engl.)

References

  1. Zherdeva M.P., KotovA.A. Effekt vyuchennogo nevnimaniya v zadache na ponyatiinuyu gibkost': rol' nazyvaemosti chastei ob"ekta [The Effect of Learned Inattention on Conceptual Flexibility Task: The Role of Object Parts Nameability]. Psikhologicheskie issledovaniya = Psychological Studies, 2022. Vol. 15, no. 84, 22 p. DOI:10.54359/ps.v15i84.1201 (In Rus.).
  2. Kotov A.A. Vliyanie legkosti nazyvaniya priznakov ob"ekta na nauchenie novym kategoriyam [The impact of object part nameability on learning categories with statistically different rules] [Elektronnyi resurs]. Rossiiskii zhurnal kognitivnoi nauki = The russian journal of cognitive science, 2018. Vol. 5, no. 2, pp. 35—44. URL: https://publications.hse.ru/pubs/share/direct/310143475.pdf (Accessed 29.03.2023). (In Rus.).
  3. Kotov A.A., Zherdeva M.P. Vliyanie legkosti naimenovaniya prostranstvennykh priznakov na nauchenie novym pravilam kategorizatsii [Effect of Spatial Locations Nameability on Category Learning]. Psikhologiya. Zhurnal Vysshei shkoly ekonomiki = Psychology. Journal of the Higher School of Economics, 2020. Vol. 17, no. 1, pp. 145—155. DOI:10.17323/1813-8918-2020-1-145-155 (In Rus.).
  4. Monina M.Yu., Zherdeva M.P., Kotova T.N., Kotov A.A. Trenirovka verbalizatsii chastei ob"ekta uluchshaet osoznanie pravil, no ne nauchenie im u detei 6—8 let [Verbalizing parts of an object improves awareness of rules, but not learning them, in 6 to 8 year olds] [Elektronnyi resurs]. In Pechenkova E.V., Falikman M.V., Koifman A.Ya. (eds.), Kognitivnaya nauka v Moskve: novye issledovaniya [Cognitive Science in Moscow: New Research]: materialy konferentsii: 23—24 iyunya 2021. M.: BukiVedi, Institut prakticheskoi psikhologii i psikhoanaliza, 2021, pp. 291—295. URL: https://elibrary.ru/item.asp?id=46609853 (Accessed 29.03.2023). (In Rus.).
  5. Ashby F.G., Alfonso-Reese L.A., Turken A.U., Waldron E.M. A neuropsychological theory of multiple systems in category learning. Psychological Review, 1998. Vol. 105, no. 3, pp. 442—481. DOI:10.1037/0033-295x.105.3.442
  6. Ashby F.G., Ell S.W. The neurobiology of human category learning. Trends in Cognitive Sciences, 2001. Vol. 5, no. 5, pp. 204—210. DOI:10.1016/S1364-6613(00)01624-7
  7. Bainbridge W.A. Shared Memories Driven by the Intrinsic Memorability of Items. In Ionescu B., Bainbridge W.A., Murray N. (eds.), Human Perception of Visual Information: Psychological and Computational Perspectives. Cham: Springer, 2022, pp. 183—206. DOI:10.1007/978-3-030-81465-6_7
  8. Bainbridge W.A., Oliva A. Interaction envelope: Local spatial representations of objects at all scales in scene-selective regions. Neuroimage, 2015. Vol. 122, pp. 408—416. DOI:10.1016/j.neuroimage.2015.07.066
  9. Best C.A., Yim H., Sloutsky V.M. The cost of selective attention in category learning: developmental differences between adults and infants. Journal of Experimental Child Psychology, 2013. Vol. 116, no. 2, pp. 105—119. DOI:10.1016/j.jecp.2013.05.002
  10. Blanco N.J., Turner B.M., Sloutsky V.M. The benefits of immature cognitive control: How distributed attention guards against learning traps. Journal of Experimental Child Psychology, 2023. Vol. 226, article ID 105548, 16 p. DOI:10.1016/j.jecp.2022.105548
  11. Brashears B., Minda J.P. The Effects of Feature Verbalizability on Category Learning. PsyArXiv, 2020, preprint, pp. 655—660. DOI:10.31234/osf.io/gfh4a
  12. Davidoff J., Davies I., Roberson D. Colour categories in a stone-age tribe. Nature, 1999. Vol. 398, pp. 203—204. DOI:10.1038/18335
  13. Persaud K., Macias C., Hemmer P., Bonawitz E. Evaluating recall error in preschoolers: Category expectations influence episodic memory for color. Cognitive Psychology, 2021. Vol. 124, article ID 101357, 25 p. DOI:10.1016/j.cogpsych.2020.101357
  14. Hoffman A.B., Rehder B. The costs of supervised classification: The effect of learning task on conceptual flexibility. Journal of Experimental Psychology General, 2010. Vol. 139, no. 2, pp. 319—340. DOI:10.1037/a0019042
  15. Ruggeri A., Walker C.M., Lombrozo T., Gopnik A. How to Help Young Children Ask Better Questions? Frontiers in Psychology, 2021. Vol. 11, article ID 586819, 9 p. DOI:10.3389/fpsyg.2020.586819
  16. Kurtz K.J., Levering K.R., Stanton R.D., Romero J., Morris S.N. Human learning of elemental category structures: Revising the classic result of Shepard, Hovland, and Jenkins (1961). Journal of Experimental Psychology: Learning, Memory, and Cognition, 2013. Vol. 39, no. 2, pp. 552—572. DOI:10.1037/a0029178
  17. Liquin E.G., Gopnik A. Children are more exploratory and learn more than adults in an approach-avoid task. Cognition, 2022. Vol. 218, article ID 104940, 65 p. DOI:10.1016/j.cognition.2021.104940
  18. Lupyan G. Linguistically modulated perception and cognition: the label-feedback hypothesis. Frontiers in Psychology, 2012. Vol. 3, article ID 54, 13 p. DOI:10.3389/fpsyg.2012.00054
  19. Lupyan G., Rakison D.H., McClelland J.L. Language is not just for talking: Redundant labels facilitate learning of novel categories. Psychological, 2007. Vol. 18, no. 12, pp. 1077—1083. DOI:10.1111/j.1467-9280.2007.02028.x
  20. Lupyan G., Zettersten M. Does vocabulary help structure the mind? In Sera M.D., Koenig M. (eds.), Minnesota Symposia on Child Psychology: Human Communication: Origins, Mechanisms, and Functions. USA NJ: John Wiley & Sons Inc, 2021. Vol. 40, pp. 160—199. DOI:10.1002/9781119684527.ch6
  21. Zettersten M., Bredemann C., Kaul M., Vlach H., Kerkorian H., Lupyan G. Nameability Supports Rule-based Category Learning in Children and Adults. PsyArXiv, 2022, preprint, 51 p. DOI:10.31234/osf.io/umrj8
  22. Kramer M.A., Hebart M.N., Baker C.I., Bainbridge W.A. Revealing the relative contributions of conceptual and perceptual information to visual memorability. Journal of Vision, 2021. Vol. 21, no. 9, article ID 2048. DOI:10.1167/jov.21.9.2048
  23. Roberson D., Davidoff J. The categorical perception of colors and facial expressions: The effect of verbal interference. Memory and Cognition, 2000. Vol. 28, no. 6, pp. 977—986. DOI:10.3758/BF03209345
  24. Rosedahl L.A., Serota R., Ashby G.F. When instructions don’t help: Knowing the optimal strategy facilitates rule-based but not information-integration category learning. Journal of Experimental Psychology: Human Perception and Performance, 2021. Vol. 47, no. 9, pp. 1226—1236. DOI:10.1037/xhp0000940
  25. Winawer J., Wulund L., Frank M.C., Wade A., Boroditsky L., Witthoft N. Russian blues reveal effects of language on color discrimination. Proceedings of the National Academy of Sciences of the United States of America, 2007. Vol. 104, no. 19, pp. 7780—7785. DOI:10.1073/pnas.0701644104
  26. Schyns P.G., Goldstone R.L., Thibaut J.P. The development of features in object concepts. The Behavioral and Brain Sciences, 1998. Vol. 21, no. 1, pp. 1—54. DOI:10.1017/S0140525X98000107
  27. Simpson E.H. Measurement of diversity. Nature, 1949. Vol. 163, pp. 688—688. DOI:10.1038/163688a0
  28. Sloutsky V.M. From Perceptual Categories to Concepts: What Develops? Cognitive Science, 2010. Vol. 34, no. 7, pp. 1244—1286. DOI:10.1111/j.1551-6709.2010.01129.x
  29. Snodgrass J.G., Vanderwart M.A. Standardized set of 260 pictures: norms for name agreement, image agreement, familiarity, and visual complexity. Journal of experimental psychology: Human learning and memory, 1980. Vol. 6, no. 2, pp. 174—215. DOI:10.1037//0278-7393.6.2.174
  30. Gilbert A.L., Regier T., Kay P., Ivry R.B. Support for lateralization of the Whorf effect beyond the realm of color discrimination. Brain and Language, 2008. Vol. 105, no. 2, pp. 91—98. DOI:10.1016/j.bandl.2007.06.001
  31. Vanderplas J.M., Garvin E.A. The association value of random shapes. Journal of Experimental Psychology, 1959. Vol. 57, no. 3, pp. 147—154. DOI:10.1037/h0048723
  32. Isola P., Xiao J., Parikh D., Torralba A., Oliva A. What Makes a Photograph Memorable? IEEE Transactions On Pattern Analysis and Machine Intelligence, 2014. Vol. 36, no. 7, pp. 1469—1482. DOI:10.1109/TPAMI.2013.200
  33. Bae G.Y., Olkkonen M., Allred S.R., Flombaum J.I. Why some colors appear more memorable than others: A model combining categories and particulars in color working memory. Journal of Experimental Psychology General, 2015. Vol. 144, no. 4, pp. 744—763. DOI:10.1037/xge0000076
  34. Zettersten M., Lupyan G. Finding categories through words: More nameable features improve category learning. Cognition, 2020. Vol. 196, article ID 104135, 82 p. DOI:10.1016/j.cognition.2019.104135

Information About the Authors

Elisey D. Abaltusov, Student, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0009-0008-6853-4865, e-mail: edabaltusov@edu.hse.ru

Matvei D. Afonin, Student, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0009-0009-0120-5757, e-mail: mdafonin@edu.hse.ru

Tatyana N. Kotova, PhD in Psychology, Senior Researcher, Laboratory for the Cognitive Research, National Research University Higher School of Economics, Moscow, Russia, ORCID: https://orcid.org/0000-0002-2583-1922, e-mail: tkotova@gmail.com

Alexey A. Kotov, PhD in Psychology, Senior Researcher of the Laboratory for cognitive research, Department of Psychology,, National Research University 'Higher School of Economics, Sirius University of Science and Technology, Sochi, Russia, Moscow, Russia, ORCID: https://orcid.org/0000-0002-4426-4265, e-mail: al.kotov@gmail.com

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