To what extent do people attribute meanings to “nonsense” words? How general is such attribution of meaning? We used a set of words lacking conventional meanings to elicit drawings of made‐up creatures. Separate groups of participants rated the nonsense words and the drawings on several semantic dimensions, and selected what name best corresponded to each creature. Despite lacking conventional meanings, “nonsense” words elicited a high level of consistency in the produced drawings. Meaning attributions made to nonsense words corresponded with meaning attributions made by separate people to drawings that were inspired by the name. Naïve participants were able to recover the name that inspired the drawing with greater‐than‐chance accuracy. These results suggest that people make liberal and consistent use of non‐arbitrary relationships between forms and meanings.
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Visual resemblance and interaction history jointly constrain pictorial meaning
How do drawings—ranging from detailed illustrations to schematic diagrams—reliably convey meaning? Do viewers understand drawings based on how strongly they resemble an entity (i.e., as images) or based on socially mediated conventions (i.e., as symbols)? Here we evaluate a cognitive account of pictorial meaning in which visual and social information jointly support visual communication. 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 replication, finding that participants developed object-specific and interaction-specific strategies for communicating more efficiently over time, beyond what task practice or a resemblance-based account alone could explain. Leveraging model-based image analyses and crowdsourced annotations, we further determined that drawings did not drift toward “arbitrariness,” as predicted by a pure convention-based account, but preserved visually diagnostic features. Taken together, these findings advance psychological theories of how successful graphical conventions emerge.
more » « less- Award ID(s):
- 2047191
- NSF-PAR ID:
- 10407184
- Publisher / Repository:
- Nature Publishing Group
- Date Published:
- Journal Name:
- Nature Communications
- Volume:
- 14
- Issue:
- 1
- ISSN:
- 2041-1723
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Methods Participants (
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