mlsanityData to 7 Oct 2026

Shades of confusion: Lexical uncertainty modulates ad hoc coordination in an interactive communication task

arXiv 2105.06546 ↗First posted 13 May 2021cs.CLcited by 5

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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

  1. 2014Word Representations via Gaussian Embeddingcited by 96
  2. 2017Colors in Context: A Pragmatic Neural Model for Grounded Language Understandingcited by 57
  3. 2021From partners to populations: A hierarchical Bayesian account of coordination and conventioncited by 27
  4. 2018Probabilistic FastText for Multi-Sense Word Embeddingscited by 25
  5. 2019When redundancy is useful: A Bayesian approach to 'overinformative' referring expressionscited by 21
  6. 2018Color naming reflects both perceptual structure and communicative needcited by 13
  7. 2017Embedding Words as Distributions with a Bayesian Skip-gram Modelcited by 9
  8. 2020Semantic Discriminability for Visual Communicationcited by 5
  9. 2019Estimating Color-Concept Associations from Image Statisticscited by 4
  10. 2020Generalizing meanings from partners to populations: Hierarchical inference supports convention formation on networkscited by 4
  11. 2020comp-syn: Perceptually Grounded Word Embeddings with Colorcited by 3
  12. 2013Even the Abstract have Colour: Consensus in Word-Colour Associationscited by 2

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Citing papers per year: 2022: 1; 2023: 1; 2024: 2; 2025: 1.

5 papers.