AI meets authoring: User models for untelligent multimedia
Identifieur interne : 001074 ( Main/Exploration ); précédent : 001073; suivant : 001075AI meets authoring: User models for untelligent multimedia
Auteurs : Andrew Csinger [Canada, République démocratique du Congo] ; Kellogg S. Booth [Canada] ; David Poole [Canada]Source :
- Artificial Intelligence Review [ 0269-2821 ] ; 1994-09-01.
English descriptors
- Teeft :
- Abduction, Abductive, Abductive reasoning, Algorithm, Andrew csinger, Animation, Annotation, Annotation database, Artificial intelligence, Assumables, Authorial intent, Bayesian networks, Best design, Best presentation, British columbia, Computer science, Computer systems, Computer tools, Csinger, Current approaches, Current presentation, Database, Decision list, Default reasoning, Descr, Design assumptions, Design processes, Design task, False assumption, Final presentation, Footage, Graphics, Graphics interface, Highest probability, Hypervideo documents, Individual readers, Individual users, Intelligent multimedia, Interface, Knowledge engineer, Knowledge engineers, Likely user model, Lookup table, Lowest cost design, Major bottleneck, Model recognition, Modelling, Multimedia, Other hand, Other information, Other media, Other words, Plan schema, Plausible model, Plausible user model, Poole, Presentation, Presentation design, Presentation events, Presentation phases, Presentation processes, Presentation system, Probabilistic horn abduction, Prospective faculty member, Prospective student, Reasoner, Reasoning engine, Recognition assumptions, Recognition task, Schema, Semantic unpredictability problem, Show button, Syntactic ambiguity problem, Technical report, Traditional approach, Traditional approaches, Traditional media, Traditional model, Traditional notion, User, User interface, User model, User model window, User modelling, User models, Valhalla, Valhalla control window, Video, Video annotation, Video clips, Video data, Video disk, Video documents, Video medium, Video record, Video server.
Abstract
Abstract: Authoring is a complex, knowledge-intensive activity which until recently has been performed exclusively by humans. New computer-based techniques have added horsepower rather than intelligence to traditional approaches, and have not addressed their principal limitations, chief of which is the inability to tailor presentations to individual users at run-time. We believe a model of the user is needed to support this kind of run-time determination of formand content. We describe our approach to the acquisition, representation and exploitation of user models: themost plausible user model is the result of an abductiverecognition process and it incorporates assumptions about the user which are then used to constrain thedesign by abduction of the best presentation. Both recognition and design processes are performed at run-time. We describe a prototypical implementation designed to demonstrate these ideas in the domain of video authoring. Our approach to authoring is intended to apply across multiple media; we have demonstrated these ideas with video because authoring in the video medium with traditional approaches inherits and exacerbates the problems from traditional media, and because the popularity of video as an authoring medium continues to grow.
Url:
DOI: 10.1007/BF00849730
Affiliations:
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New computer-based techniques have added horsepower rather than intelligence to traditional approaches, and have not addressed their principal limitations, chief of which is the inability to tailor presentations to individual users at run-time. We believe a model of the user is needed to support this kind of run-time determination of formand content. We describe our approach to the acquisition, representation and exploitation of user models: themost plausible user model is the result of an abductiverecognition process and it incorporates assumptions about the user which are then used to constrain thedesign by abduction of the best presentation. Both recognition and design processes are performed at run-time. We describe a prototypical implementation designed to demonstrate these ideas in the domain of video authoring. Our approach to authoring is intended to apply across multiple media; we have demonstrated these ideas with video because authoring in the video medium with traditional approaches inherits and exacerbates the problems from traditional media, and because the popularity of video as an authoring medium continues to grow.</div></front></TEI><affiliations><list><country><li>Canada</li><li>République démocratique du Congo</li></country></list><tree><country name="Canada"><noRegion><name sortKey="Csinger, Andrew" sort="Csinger, Andrew" uniqKey="Csinger A" first="Andrew" last="Csinger">Andrew Csinger</name></noRegion><name sortKey="Booth, Kellogg S" sort="Booth, Kellogg S" uniqKey="Booth K" first="Kellogg S." last="Booth">Kellogg S. 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