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Providing Dynamic Visual Information for Collaborative Tasks

Experiments With Automatic Camera Control

Bibliographic Data

ID15216201
AuthorsJeremy Birnholtz (0000-0003-4172-4534, Cornell University, corresponding author), Abhishek Ranjan (0000-0003-3289-6705, University of Toronto), Ravin Balakrishnan (0000-0002-3379-7680, University of Toronto)
Year2010
Volume25
Issue3
Pages261-287
Publication date2010-08-31
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/07370024.2010.500146
OpenAlexW2038977635
LanguageEN
Citations received1
References cited16

One possibility presented by novel communication technologies is the ability for remotely located experts to provide guidance to others who are performing difficult technical tasks in the real world, such as medical procedures or engine repair. In these scenarios, video views and other visual information seem likely to be useful in the ongoing negotiation of shared understanding, or common ground, but actual results with experimental systems have been mixed. One difficulty in designing these systems is achieving a balance between close-up shots that allow for discussion of detail and wide shots that allow for orientation or establishing a mutual point of focus in a larger space. Achieving this balance can be difficult without disorienting or overloading task participants. In this article we present results from two experiments involving three automated camera control systems for remote repair tasks. Results show that a system providing both detailed and overview information was superior to systems providing only one or the other in terms of performance but that some participants preferred the detail-only system

Control (management · Focus (optics · Human–computer interaction · Multimedia · Negotiation · Orientation (vector space · Point (geometry · Systems engineering · Task (project management · Computer Science · Engineering · Gaze Tracking and Assistive Technology · Usability and User Interface Design · Virtual Reality Applications and Impacts · Artificial Intelligence

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Unique citing works1
Citations per year0,09
Citation span2015 - 2015 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

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