Developing an understanding of emotion categories: Lessons from objects
Open accessAbstract
How and when infants and young children begin to develop emotion categories is not yet well understood. Research has largely treated the learning problem as one of identifying perceptual similarities among exemplars (typically posed, stereotyped facial configurations). However, recent meta-analyses and reviews converge to suggest that emotion categories are abstract, involving high-dimensional and situationally variable instances. In this paper we consult research on the development of abstract object categorization to guide hypotheses about how infants might learn abstract emotion categories because the two domains present infants with similar learning challenges. In particular, we consider how a developmental cascades framework offers opportunities to understand how and when young children develop emotion categories.
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Supervised category learning such as word learning is an important source of emotional development and cultural inheritance.
“Thus, 'supervised category learning' such as word learning is an important source of emotional development and cultural inheritance.58,141,157,158”
From A new science of emotion: implications for functional neurological disorder (2022) · cites this paper as [141]
In “Applying a Developmental Cascades Approach to Emotion Category Learning” (page unavailable), the paper proposes that caregivers’ emotion labels and children’s word learning may shape developing emotion categories. “Implications for Future Research” discusses cultural variation in emotion categories, but does not establish word learning as a mechanism of cultural inheritance. The paper also presents the developmental role of labels as a hypothesis, rather than an established finding. (LLM, conf=0.84)
Experimental — accuracy not yet measuredThe expansion of the human brain allows for compression and dimensionality reduction, suggesting that we can assemble multimodal summaries (features) in early infancy and later in life.
“The expansion of the human brain allows for compression and dimensionality reduction, suggesting that we can assemble multimodal summaries (i.e.features) in early infancy and later in life.129,141,142”
From A new science of emotion: implications for functional neurological disorder (2022) · cites this paper as [141]
In “Learning Abstract Categories via Developmental Cascades” (page unavailable), the paper describes infants learning abstract object features and inferring functional similarities across perceptually different instances. It does not link this ability to expansion of the human brain or describe it as compression or dimensionality reduction; nor does it establish the claimed process later in life. (LLM, conf=0.83)
Experimental — accuracy not yet measuredWe can assemble multimodal summaries, i.e. features, in early infancy and later in life.
“and dimensionality reduction, suggesting that we can assemble multimodal summaries (i.e.features) in early infancy and later in life.129,141,142”
From A new science of emotion: implications for functional neurological disorder (2022) · cites this paper as [141]
The sections on emotion-category learning describe infants using varying perceptual features, including facial movements and vocalizations, to infer meaning. The paper also proposes that these ideas could inform research across the lifespan, but it does not establish that people assemble multimodal summaries both in early infancy and later in life. Page numbers were not available in our copy. (LLM, conf=0.78)
Experimental — accuracy not yet measured
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- Authors
- Hoemann, K., Wu, R., LoBue, V., Oakes, L. M., Xu, F., & Barrett, L. F.
- Affiliations
- Northeastern University (US)
- University of California, Riverside (US)
- Rutgers, The State University of New Jersey (US)
- University of California, Davis (US)
- University of California, Berkeley (US)
- Corresponding author
- Wu, Rachel
- Barrett, Lisa Feldman
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 24
- Issue
- 1
- Pages
- 39-51
- ISSN
- 1364-6613 (ISSN-L)
- PMC
- PMC6943182
- OpenAlex
- W2989949548
- Cited by
- 123
- References
- 119
- Citations by year
- 2026: 8 · 2025: 16 · 2024: 13 · 2023: 14 · 2022: 18 · 2021: 12 · 2020: 42
- FWCI
- 3.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Trends in Cognitive Sciences (acceptedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Lirias (KU Leuven) (submittedVersion)
- Funders
- National Cancer Institute
- National Institute of Mental Health
- Army Research Institute for the Behavioral and Social Sciences
- Topics
- Social Sciences › Psychology › Developmental and Educational Psychology › Child and Animal Learning Development
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Categorization, perception, and language
- Social Sciences › Psychology › Clinical Psychology › Child and Adolescent Psychosocial and Emotional Development
- Keywords
- emotion classification, developmental cascades, facial expression perception, perceptual similarity, conceptual development
- MeSH terms
- Child, Child, Preschool, Emotions, Face, Humans, Infant, Learning
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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