Open AccessComprehension Models of Audiovisual Discourse Processing
Author(s) -
Anderegg Courtney,
Aladé Fashina,
Ewoldsen David R.,
Wang Zheng
Publication year - 2017
Publication title -
human communication research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.002
H-Index - 89
eISSN - 1468-2958
pISSN - 0360-3989
DOI - 10.1111/hcre.12107
Subject(s) - recall , comprehension , psychology , narrative , clips , coding (social sciences) , cognitive psychology , entertainment , linguistics , computer science , artificial intelligence , philosophy , statistics , mathematics , art , visual arts
Comprehension is integral to enjoyment of media narratives, yet our understanding of how viewers create the situation models that underlie comprehension is limited. This study utilizes two models of comprehension that had previously been tested with factual texts/videos to predict viewers' recall of entertainment media. Across five television/film clips, the landscape model explained at least 29% of the variance in recall. A dual coding version that assumed separate verbal and visual representations of the story significantly improved the model fit in four of the clips, accounting for an additional 15–29% of the variance. The dimensions of the event‐indexing model (time, space, protagonist, causality, and intentionality) significantly moderated the relationship between the dual coding model and participant recall in all clips .