paper-with-me

Papers

Visual resemblance and communicative context constrain the emergence of graphical conventions

2021-09-17 · Robert D. Hawkins, Megumi Sano, Noah D. Goodman, Judith E. Fan

From photorealistic sketches to schematic diagrams, drawing provides a versatile medium for communicating about the visual world. How do images spanning such a broad range of appearances reliably convey meaning? Do viewers understand drawings based solely on their ability to resemble the entities they refer to (i.e., as images), or do they understand drawings based on shared but arbitrary associations with these entities (i.e., as symbols)? In this paper, we provide evidence for a cognitive account of pictorial meaning in which both visual and social information is integrated to support effective visual communication. To evaluate this account, we used a communication task where pairs of participants used drawings to repeatedly communicate the identity of a target object among multiple distractor objects. We manipulated social cues across three experiments and a full internal replication, finding pairs of participants develop referent-specific and interaction-specific strategies for communicating more efficiently over time, going beyond what could be explained by either task practice or a pure resemblance-based account alone. Using a combination of model-based image analyses and crowdsourced sketch annotations, we further determined that drawings did not drift toward arbitrariness, as predicted by a pure convention-based account, but systematically preserved those visual features that were most distinctive of the target object. Taken together, these findings advance theories of pictorial meaning and have implications for how successful graphical conventions emerge via complex interactions between visual perception, communicative experience, and social context.

📄 PDF Abstract BibTeX arXiv:2109.13861

Code (1)

cogtoolslab/graphical_conventions 공식 구현 pytorch

Similar Papers 제목 키워드 기반

Emergent Communication for Understanding Human Language Evolution: What's Missing?

2022-04-22 · Lukas Galke, Yoav Ram, Limor Raviv

Emergent communication protocols among humans and artificial neural network agents do not yet share the same properties and show some critical mismatches in results. We describe three important phenomena with respect to …

SyntaxFest 2019 Invited talk - Inductive biases and language emergence in communicative agents

2019-08-01 · WS 2019 8 · Emmanuel Dupoux

The Hierarchical Organization of Syntax

2021-11-27 · Babak Ravandi, Valentina Concu

Hierarchies are the hidden backbones of complex systems and their analysis allows for a deeper understanding of their structure and how they evolve. We consider languages also to be complex adaptive systems with several …

Zipf's law emerges asymptotically during phase transitions in communicative systems

2016-03-10 · Bohdan B. Khomtchouk, Claes Wahlestedt

Zipf's law predicts a power-law relationship between word rank and frequency in language communication systems, and is widely reported in texts yet remains enigmatic as to its origins. Computer simulations have shown tha…

Visual Theory of Mind Enables the Invention of Proto-Writing

2025-02-03 · Benjamin A. Spiegel, Lucas Gelfond, George Konidaris

Symbolic writing systems are graphical semiotic codes that are ubiquitous in modern society but are otherwise absent in the animal kingdom. Anthropological evidence suggests that the earliest forms of some writing system…

Multi-agent Reinforcement Learning