Extracting Behavioral Information from Electronic Storyboards

Simple item page
dc.contributor.authorForsyth, Jasonen
dc.contributor.authorMartin, Tomen
dc.contributor.departmentElectrical and Computer Engineeringen
dc.date.accessioned2017-11-29T13:51:17Zen
dc.date.available2017-11-29T13:51:17Zen
dc.date.issued2014-06en
dc.description.abstractIn this paper we outline methods for extracting behavioral descriptions of interactive prototypes from electronic storyboards. This information is used to help interdisciplinary design teams evaluate potential ideas early in the design process. Using electronic story- boards provides a common descriptive medium where team members from diff erent disciplinary backgrounds can collectively express the intended behavior of their prototype. The behavioral information is extracted by a combination of visual tags applied to elements of the storyboard, analysis of storyboard layout, and natural language processing of text written in the frames. We describe this process, provide a proof of concept example, and discuss design choices in developing this tool.en
dc.description.sponsorshipThis material is based upon work supported by National Science Foundation under Grant No. EEC-0935103 and the Virginia Tech Institute for Creativity Arts and Technology.en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1145/2607023.2607034en
dc.identifier.urihttp://hdl.handle.net/10919/80535en
dc.language.isoenen
dc.publisherACMen
dc.relation.ispartof2014 ACM SIGCHI Symposium on Engineering Interactive Computing Systemsen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectPrototypingen
dc.subjectInterdisciplinary Designen
dc.subjectProgramming Toolsen
dc.titleExtracting Behavioral Information from Electronic Storyboardsen
dc.title.serialProceedings of the 2014 ACM SIGCHI symposium on Engineering interactive computing systemsen
dc.typeConference proceedingen
dc.type.dcmitypeTexten

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
MartinStoryboards2014.pdf
Size:
928.11 KB
Format:
Adobe Portable Document Format
Description:
Download

Collections

Strategic Growth Area: Creativity and Innovation (C&I)
Scholarly Works, Electrical and Computer Engineering