The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Real-world visual statistics and infants' first-learned object names
Open accessAbstract
We offer a new solution to the unsolved problem of how infants break into word learning based on the visual statistics of everyday infant-perspective scenes. Images from head camera video captured by 8 1/2 to 10 1/2 month-old infants at 147 at-home mealtime events were analysed for the objects in view. The images were found to be highly cluttered with many different objects in view. However, the frequency distribution of object categories was extremely right skewed such that a very small set of objects was pervasively present—a fact that may substantially reduce the problem of referential ambiguity. The statistical structure of objects in these infant egocentric scenes differs markedly from that in the training sets used in computational models and in experiments on statistical word-referent learning. Therefore, the results also indicate a need to re-examine current explanations of how infants break into word learning. This article is part of the themed issue ‘New frontiers for statistical learning in the cognitive sciences’.
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Cites
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Clauset, A., Shalizi, C. R., & Newman, M. E. J. (2009) · SIAM Review · doi:10.1137/070710111 · Cited by 8,019
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“This hypothesis, in need of direct experimental test, is a form of the “less as more” hypothesis [74, 75]:”
BackgroundMaturational constraints on language learning
Newport, E. L. (1990) · Cognitive Science · doi:10.1207/s15516709cog1401_2 · Cited by 1,738
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Self-citationStatistical learning and language acquisition
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Scaling laws in cognitive sciences
Kello, C. T., Brown, G. D. A., Ferrer-i-Cancho, R., Holden, J. G., Linkenkaer-Hansen, K., Rhodes, T., & Van Orden, G. C. (2010) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2010.02.005 · Cited by 384
Cited by
The Developing Infant Creates a Curriculum for Statistical Learning
Smith, L. B., Jayaraman, S., Clerkin, E., & Yu, C. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.02.004 · Cited by 299
Self-citationWords as social tools: language, sociality and inner grounding in abstract concepts
Borghi, A. M., Barca, L., Binkofski, F., Castelfranchi, C., Pezzulo, G., & Tummolini, L. (2019) · Physics of Life Reviews · doi:10.1016/j.plrev.2018.12.001 · Cited by 253
Intuitive physics learning in a deep-learning model inspired by developmental psychology
Piloto, L. S., Weinstein, A., Battaglia, P., & Botvinick, M. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01394-8 · Cited by 118
Huber, L. S., Geirhos, R., & Wichmann, F. A. (2023) · Journal of Vision · doi:10.1167/jov.23.7.4 · Cited by 42
Development of visual object recognition
Ayzenberg, V., & Behrmann, M. (2023) · Nature Reviews Psychology · doi:10.1038/s44159-023-00266-w · Cited by 41
Metadata
- Authors
- Clerkin, E. M., Hart, E., Rehg, J. M., Yu, C., & Smith, L. B.
- Venue
- Philosophical Transactions of the Royal Society B: Biological Sciences
- Publisher
- The Royal Society
- Published
- 2017-01-05
- Volume
- 372
- Issue
- 1711
- Pages
- 20160055
- ISSN
- 0962-8436 (ISSN-L)
- 1471-2970
- OpenAlex
- W2553608650
- Cited by
- 268
- References
- 7
- FWCI
- 38.75
- Type
- journal article
- Language
- en
- Open access
- green
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