Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task
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Abstract (arXiv)
There is substantial variability in the expectations that communication partners bring into interactions, creating the potential for misunderstandings. To directly probe these gaps and our ability to overcome them, we propose a communication task based on color-concept associations. In Experiment 1, we establish several key properties of the mental representations of these expectations, or lexical priors, based on recent probabilistic theories. Associations are more variable for abstract concepts, variability is represented as uncertainty within each individual, and uncertainty enables accurate predictions about whether others are likely to share the same association. In Experiment 2, we then examine the downstream consequences of these representations for communication. Accuracy is initially low when communicating about concepts with more variable associations, but rapidly increases as participants form ad hoc conventions. Together, our findings suggest that people cope with variability by maintaining well-calibrated uncertainty about their partner and appropriately adaptable representations of their own.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 12 of its 103 references that are in the map. First posted on arXiv 13 May 2021.
Builds on
12 of 103 references.
References · 12
- 2014Word Representations via Gaussian Embeddingcited by 96
- 2017Colors in Context: A Pragmatic Neural Model for Grounded Language Understandingcited by 57
- 2021From partners to populations: A hierarchical Bayesian account of coordination and conventioncited by 27
- 2018Probabilistic FastText for Multi-Sense Word Embeddingscited by 25
- 2019When redundancy is useful: A Bayesian approach to 'overinformative' referring expressionscited by 21
- 2018Color naming reflects both perceptual structure and communicative needcited by 13
- 2017Embedding Words as Distributions with a Bayesian Skip-gram Modelcited by 9
- 2020Semantic Discriminability for Visual Communicationcited by 5
- 2019Estimating Color-Concept Associations from Image Statisticscited by 4
- 2020Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networkscited by 4
- 2020comp-syn: Perceptually Grounded Word Embeddings with Colorcited by 3
- 2013Even the Abstract have Colour: Consensus in Word-Colour Associationscited by 2
Built on by
Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 1.
5 papers.
- 2024One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversitycited by 57
- 2022Abstract Visual Reasoning with Tangram Shapescited by 43
- 2024Concept Alignmentcited by 9
- 2023Semantic uncertainty guides the extension of conventions to new referentscited by 2
- 2025Ad hoc conventions generalize to new referentscited by 0
- 2025Ad hoc conventions generalize to new referents6 Sep 2025
- 2024One fish, two fish, but not the whole sea: Alignment reduces language models' conceptual diversity7 Nov 2024
- 2024Concept Alignment9 Jan 2024
- 2023Semantic uncertainty guides the extension of conventions to new referents11 May 2023
- 2022Abstract Visual Reasoning with Tangram Shapes29 Nov 2022