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Language Efficiency and Visual Technology

Minimizing Collaborative Effort with Visual Information

Bibliographic Data

ID2350109
AuthorsDarren Gergle (0000-0003-4052-0214, Carnegie Mellon University), Robert E Kraut (0000-0002-8554-2137, Carnegie Mellon University), Susan R Fussell (0000-0001-8980-5232, Carnegie Mellon University)
Year2004
Volume23
Issue4
Pages491-517
Publication date2004-12-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJournal of Language and Social Psychology (JOURNAL)
Journal identifiersISSN: 0261-927X • E-ISSN: 1552-6526
PublisherSAGE Publications Inc (PUBLISHER)
DOI10.1177/0261927x04269589
OpenAlexW2161552879
LanguageEN
Citations received9
References cited19

When collaborators work on a physical task, seeing a common workspace transforms their language use and reduces their overall collaborative effort. This article shows how visual information can make communication more efficient. In an experiment, dyads collaborated on building a puzzle. They communicated without a shared visual space, using a shared space featuring immediately updated visual information, and using a shared space featuring delayed visual updating. Having the shared visual space helps collaborators understand the current state of their task and enables them to ground their conversations efficiently, as seen in the ways in which participants adapted their discourse processes to their level of shared visual information. These processes are associated with faster and better task performance. Delaying the visual update reduces benefits and degrades performance. The shared visual space is more useful when tasks are visually complex or when participants have no simple vocabulary for describing their environments

Cognitive psychology · Human–computer interaction · Linguistics · Multimedia · Perception · Shared space · Visual Communication · Visual space · Vocabulary · Workspace · Computer Science · Personal Information Management and User Behavior · Psychology · Speech and dialogue systems · Usability and User Interface Design · Artificial Intelligence

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Unique citing works9
Citations per year0,56
Citation span2010 - 2024 (15)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 9

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