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Drawing the line between constituent structure and coherence relations in visual narratives
1Department of Psychology, Tufts University.
Summary
Visual narrative grammar, not just semantic shifts, guides how people segment stories. Narrative categories strongly predict divisions in visual sequences, supporting a hierarchical structure.
Area of Science:
- Cognitive Psychology
- Linguistics
- Visual Communication
Background:
- Traditional theories of visual narrative focus on semantic shifts (characters, location, causation) for discourse segmentation.
- The visual narrative grammar theory proposes hierarchical structures with categorical image roles, independent of coherence shifts.
Purpose of the Study:
- To investigate the relationship between narrative structure and coherence shifts in segmenting visual narratives.
- To determine the predictive power of narrative grammar versus semantic coherence on visual narrative segmentation.
Main Methods:
- A segmentation task was employed, where participants visually divided image sequences into subepisodes.
- Regression analyses examined the influence of constituent structure boundaries, narrative categories, and semantic coherence on segmentation.
Main Results:
- Narrative categories were found to be a stronger predictor of segmentation than linear coherence relationships.
- Both narrative categories and semantic coherence influenced participants' segmentation decisions.
Conclusions:
- Findings support the theory of visual narrative grammar, indicating a hierarchical structure beyond linear semantic shifts.
- Meaningful sequential images are organized by a narrative grammar that operates at a discourse level.
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