SceneGram: Conceptualizing and Describing Tangrams in Scene Context

Research on reference and naming suggests that humans can come up with very different ways of conceptualizing and referring to the same object, e.g. the same abstract tangram shape can be a "crab", "sink", or "space ship".Another common assumption in cognitive science is that scene context fundamentally shapes our visual perception of objects and conceptual expectations.This paper contributes SCENE-GRAM, a dataset of human references to tangram shapes placed in different scene contexts, allowing for systematic analyses of the effect of scene context on conceptualization.Based on this data, we analyze references to tangram shapes generated by multimodal LLMs, showing that these models do not account for the richness and variability of conceptualizations found in human references. 1

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Published
2025-01-01
DOI
https://doi.org/10.18653/v1/2025.findings-acl.1229
Primary Topic
Cinema and Media Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

SceneGram: Conceptualizing and Describing Tangrams in Scene Context

Simeon Junker, Sina Zarrieß
Cinema and Media Studies
article

SceneGram: Conceptualizing and Describing Tangrams in Scene Context

Simeon Junker, Sina Zarrieß
article en

Abstract

Research on reference and naming suggests that humans can come up with very different ways of conceptualizing and referring to the same object, e.g. the same abstract tangram shape can be a "crab", "sink", or "space ship".Another common assumption in cognitive science is that scene context fundamentally shapes our visual perception of objects and conceptual expectations.This paper contributes SCENE-GRAM, a dataset of human references to tangram shapes placed in different scene contexts, allowing for systematic analyses of the effect of scene context on conceptualization.Based on this data, we analyze references to tangram shapes generated by multimodal LLMs, showing that these models do not account for the richness and variability of conceptualizations found in human references. 1

Association for Computational Linguistics (US)
Deutsche Forschungsgemeinschaft
Openalex Percentile: Top 73%
Cinema and Media Studies
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