Visual communication of object concepts at different levels of abstraction
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Abstract (arXiv)
People can produce drawings of specific entities (e.g., Garfield), as well as general categories (e.g., "cat"). What explains this ability to produce such varied drawings of even highly familiar object concepts? We hypothesized that drawing objects at different levels of abstraction depends on both sensory information and representational goals, such that drawings intended to portray a recently seen object preserve more detail than those intended to represent a category. Participants drew objects cued either with a photo or a category label. For each cue type, half the participants aimed to draw a specific exemplar; the other half aimed to draw the category. We found that label-cued category drawings were the most recognizable at the basic level, whereas photo-cued exemplar drawings were the least recognizable. Together, these findings highlight the importance of task context for explaining how people use drawings to communicate visual concepts in different ways.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 3 of its 23 references that are in the map. First posted on arXiv 5 Jun 2021.
Builds on
3 of 23 references.
References · 3
Built on by
Citing papers per year: 2022: 1; 2023: 3; 2024: 1.
5 papers.
- 2022CLIPasso: Semantically-Aware Object Sketchingcited by 57
- 2023SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstractioncited by 14
- 2023Human-Guided Complexity-Controlled Abstractionscited by 1
- 2023Learning Dense Correspondences between Photos and Sketchescited by 0
- 2024Generative Visual Communication in the Era of Vision-Language Modelscited by 0
- 2024Generative Visual Communication in the Era of Vision-Language Models27 Nov 2024
- 2023SEVA: Leveraging sketches to evaluate alignment between human and machine visual abstraction5 Dec 2023
- 2023Human-Guided Complexity-Controlled Abstractions26 Oct 2023
- 2023Learning Dense Correspondences between Photos and Sketches24 Jul 2023
- 2022CLIPasso: Semantically-Aware Object Sketching11 Feb 2022