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Using Film Cutting Techniques in Interface Design

Bibliographic Data

ID15215997
AuthorsJon May (0000-0001-7439-9200, University of Sheffield, corresponding author), Michael Dean (0000-0003-2234-0631, University of Sheffield), Michael P Dean, Philip J Barnard, Pieter Barnard (0000-0001-9224-7438, Medical Research Council)
Year2003
Volume18
Issue4
Pages325-372
Publication date2003-12-01
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1207/s15327051hci1804_1
OpenAlexW2140216662
LanguageEN
Citations received2
References cited13

It has been suggested that computer interfaces could be made more usable if their designers utilized cinematography techniques, which have evolved to guide the viewer through a narrative despite frequent discontinuities in the presented scene (i.e., cuts between shots). Because of differences between the domains of film and interface design, it is not straightforward to understand how such techniques can be transferred. May and Barnard (1995) argued that a psychological model of watching film could support such a transference. This article presents an extended account of this model, which allows identification of the practice of collocation of objects of interest in the same screen position before and after a cut. To verify that filmmakers do, in fact, use such techniques successfully, eye movements were measured while participants watched the entirety of a commercially Jon May is a psychologist with an interest in the application of unified models of cognition to perception and emotion, particularly with regard to the effects of task and context; he is a senior lecturer in the Department of Psychology at the University

Action (physics · Classification of discontinuities · Collocation (remote sensing · Comprehension · Computer graphics (images · Engineering drawing · Human–computer interaction · Identification (biology · Interface (matter · Linguistics · Motion (physics · Multimedia · Narrative · Object (grammar · Programming language · USable · Computer Science · Engineering · Mathematics · Virtual Reality Applications and Impacts · Visual and Cognitive Learning Processes · Visual Attention and Saliency Detection · Artificial Intelligence

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Citations per year0.14
Citation span2012 - 2021 (10)
Highly citedNo

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