Color naming reflects both perceptual structure and communicative need
Not on the map. Why?
Abstract (arXiv)
Gibson et al. (2017) argued that color naming is shaped by patterns of communicative need. In support of this claim, they showed that color naming systems across languages support more precise communication about warm colors than cool colors, and that the objects we talk about tend to be warm-colored rather than cool-colored. Here, we present new analyses that alter this picture. We show that greater communicative precision for warm than for cool colors, and greater communicative need, may both be explained by perceptual structure. However, using an information-theoretic analysis, we also show that color naming across languages bears signs of communicative need beyond what would be predicted by perceptual structure alone. We conclude that color naming is shaped both by perceptual structure, as has traditionally been argued, and by patterns of communicative need, as argued by Gibson et al. - although for reasons other than those they advanced.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 16 May 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 4; 2022: 2; 2023: 1; 2024: 3; 2025: 1; 2026: 2.
13 papers.
Sort:
By area:
- 2021Conceptual similarity and communicative need shape colexification: an experimental studycited by 14
- 2021The Emergence of the Shape Bias Results from Communicative Efficiencycited by 13
- 2022Crosslinguistic word order variation reflects evolutionary pressures of dependency and information localitycited by 10
- 2021Learning Approximate and Exact Numeral Systems via Reinforcement Learningcited by 6
- 2021Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication taskcited by 5
- 2026The Geometry of Representational Failures in Vision Language Modelscited by 5
- 2023Perceptual Structure in the Absence of Grounding for LLMs: The Impact of Abstractedness and Subjectivity in Color Languagecited by 4
- 2024ELCC: the Emergent Language Corpus Collectioncited by 2
- 2025Recursive numeral systems are highly regular and easy to processcited by 2
- 2022Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformercited by 1
- 2024Learning Efficient Recursive Numeral Systems via Reinforcement Learningcited by 1
- 2024PACE: Procedural Abstractions for Communicating Efficientlycited by 1
1 more
- 2026A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility10 May 2026
- 2026The Geometry of Representational Failures in Vision Language Models2 Feb 2026
- 2025Recursive numeral systems are highly regular and easy to process30 Oct 2025
- 2024PACE: Procedural Abstractions for Communicating Efficiently30 Sep 2024
- 2024Learning Efficient Recursive Numeral Systems via Reinforcement Learning11 Sep 2024
- 2024ELCC: the Emergent Language Corpus Collection4 Jul 2024
- 2023Perceptual Structure in the Absence of Grounding for LLMs: The Impact of Abstractedness and Subjectivity in Color Language22 Nov 2023
- 2022Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer7 Dec 2022
- 2022Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality9 Jun 2022
- 2021The Emergence of the Shape Bias Results from Communicative Efficiency13 Sep 2021
- 2021Learning Approximate and Exact Numeral Systems via Reinforcement Learning28 May 2021
- 2021Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task13 May 2021
- 2021Conceptual similarity and communicative need shape colexification: an experimental studycited by 14
- 2021The Emergence of the Shape Bias Results from Communicative Efficiencycited by 13
- 2022Crosslinguistic word order variation reflects evolutionary pressures of dependency and information localitycited by 10
- 2021Learning Approximate and Exact Numeral Systems via Reinforcement Learningcited by 6
- 2021Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication taskcited by 5
- 2023Perceptual Structure in the Absence of Grounding for LLMs: The Impact of Abstractedness and Subjectivity in Color Languagecited by 4
- 2024ELCC: the Emergent Language Corpus Collectioncited by 2
- 2025Recursive numeral systems are highly regular and easy to processcited by 2
- 2022Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformercited by 1
- 2024Learning Efficient Recursive Numeral Systems via Reinforcement Learningcited by 1
- 2024PACE: Procedural Abstractions for Communicating Efficientlycited by 1
- 2026A Cognitively Grounded Bayesian Framework for Misinformation Susceptibilitycited by 0
- 2026A Cognitively Grounded Bayesian Framework for Misinformation Susceptibility10 May 2026
- 2025Recursive numeral systems are highly regular and easy to process30 Oct 2025
- 2024PACE: Procedural Abstractions for Communicating Efficiently30 Sep 2024
- 2024Learning Efficient Recursive Numeral Systems via Reinforcement Learning11 Sep 2024
- 2024ELCC: the Emergent Language Corpus Collection4 Jul 2024
- 2023Perceptual Structure in the Absence of Grounding for LLMs: The Impact of Abstractedness and Subjectivity in Color Language22 Nov 2023
- 2022Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer7 Dec 2022
- 2022Crosslinguistic word order variation reflects evolutionary pressures of dependency and information locality9 Jun 2022
- 2021The Emergence of the Shape Bias Results from Communicative Efficiency13 Sep 2021
- 2021Learning Approximate and Exact Numeral Systems via Reinforcement Learning28 May 2021
- 2021Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task13 May 2021
- 2021Conceptual similarity and communicative need shape colexification: an experimental study19 Mar 2021