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Published on: November 30, 2018
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Construction or updating? Event model processes during visual narrative comprehension.
Irina R Brich1, Frank Papenmeier2, Markus Huff3,2
1Leibniz-Institut für Wissensmedien, Schleichstr. 6, D-72076, Tübingen, Germany. i.brich@iwm-tuebingen.de.
Psychonomic Bulletin & Review
|February 16, 2024
Summary
Researchers found distinct cognitive processes for constructing and updating mental models of visual narratives. This study clarifies how we understand changing events in comics and similar media.
Area of Science:
- Cognitive Psychology
- Narrative Comprehension
- Visual Cognition
Background:
- Narrative comprehension involves creating and updating mental models of events in working memory.
- Two key processes, model construction and model updating, handle large and small coherence breaks, respectively.
- Distinguishing these processes in visual narratives has been challenging.
Purpose of the Study:
- To investigate and differentiate between event model construction and updating in visual narratives.
- To explore how event structure influences these comprehension processes.
- To provide empirical evidence for distinct cognitive mechanisms in visual narrative understanding.
Main Methods:
- Conducted a study with 80 participants viewing short visual narratives.
- Manipulated narratives to include or omit event boundaries and small omissions.
- Collected data on viewing time, event segmentation, and comprehensibility.
Main Results:
- Viewing time, segmentation, and comprehensibility data supported distinct comprehension processes.
- Evidence suggests separate mechanisms for building new event models versus updating existing ones.
- Findings align with the theoretical distinction between model construction and updating.
Conclusions:
- Confirmed the existence of distinct model construction and updating processes in visual narrative comprehension.
- Demonstrated the utility of combining narrative comprehension and event cognition measures.
- Advanced understanding of how the human mind processes dynamic visual information.
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