mlsanityData to 7 Oct 2026

Gesturing Toward Abstraction: Multimodal Convention Formation in Collaborative Physical Tasks

arXiv 2602.08914 ↗First posted 9 Feb 2026cs.HC cs.AIcited by 4

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Abstract (arXiv)

A quintessential feature of human intelligence is the ability to create ad hoc conventions over time to achieve shared goals efficiently. We investigate how communication strategies evolve through repeated collaboration as people coordinate on shared procedural abstractions. To this end, we conducted an online unimodal study (n = 98) using natural language to probe abstraction hierarchies. In a follow-up lab study (n = 40), we examined how multimodal communication (speech and gestures) changed during physical collaboration. Pairs used augmented reality to isolate their partner's hand and voice; one participant viewed a 3D virtual tower and sent instructions to the other, who built the physical tower. Participants became faster and more accurate by establishing linguistic and gestural abstractions and using cross-modal redundancy to emphasize key changes from previous interactions. Based on these findings, we extend probabilistic models of convention formation to multimodal settings, capturing shifts in modality preferences. Our findings and model provide building blocks for designing convention-aware intelligent agents situated in the physical world.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 24 of its 124 references that are in the map. First posted on arXiv 9 Feb 2026.

Builds on

24 of 124 references.

References · 24

  1. 2022Robust Speech Recognition via Large-Scale Weak Supervisioncited by 3,972
  2. 2020Emergent Multi-Agent Communication in the Deep Learning Eracited by 168
  3. 2023HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real Worldcited by 159
  4. 2019Structured agents for physical constructioncited by 50
  5. 2016Learning Language Games through Interactioncited by 43
  6. 2024GazePointAR: A Context-Aware Multimodal Voice Assistant for Pronoun Disambiguation in Wearable Augmented Realitycited by 35
  7. 2021YouRefIt: Embodied Reference Understanding with Language and Gesturecited by 32
  8. 2021PartGlot: Learning Shape Part Segmentation from Language Reference Gamescited by 30
  9. 2019Continual adaptation for efficient machine communicationcited by 28
  10. 2021From partners to populations: A hierarchical Bayesian account of coordination and conventioncited by 27
  11. 2021On the Critical Role of Conventions in Adaptive Human-AI Collaborationcited by 26
  12. 2023Robotic Vision for Human-Robot Interaction and Collaboration: A Survey and Systematic Reviewcited by 25
12 more
  1. 2023ShapeCoder: Discovering Abstractions for Visual Programs from Unstructured Primitivescited by 22
  2. 2019When redundancy is useful: A Bayesian approach to 'overinformative' referring expressionscited by 21
  3. 2024Talk Less, Interact Better: Evaluating In-context Conversational Adaptation in Multimodal LLMscited by 18
  4. 2023MEWL: Few-shot multimodal word learning with referential uncertaintycited by 17
  5. 2021Emergent Graphical Conventions in a Visual Communication Gamecited by 16
  6. 2023Gesture-Informed Robot Assistance via Foundation Modelscited by 16
  7. 2021Learning to communicate about shared procedural abstractionscited by 15
  8. 2022Break and Make: Interactive Structural Understanding Using LEGO Brickscited by 8
  9. 2025Post-training for Efficient Communication via Convention Formationcited by 7
  10. 2025GesPrompt: Leveraging Co-Speech Gestures to Augment LLM-Based Interaction in Virtual Realitycited by 4
  11. 2020Understanding Gesture and Speech Multimodal Interactions for Manipulation Tasks in Augmented Reality Using Unconstrained Elicitationcited by 3
  12. 2019Characterizing Collective Attention via Descriptor Context: A Case Study of Public Discussions of Crisis Eventscited by 2

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Citing papers per year: 2026: 4.

4 papers.