Title:
Interaction Techniques for Ambiguity Resolution in Recognition-Based Interfaces

dc.contributor.author Mankoff, Jennifer C.
dc.contributor.author Hudson, Scott E.
dc.contributor.author Abowd, Gregory D.
dc.date.accessioned 2004-10-19T17:05:01Z
dc.date.available 2004-10-19T17:05:01Z
dc.date.issued 2000
dc.description.abstract Because of its promise of natural interaction, recognition is coming into its own as a mainstream technology for use with computers. Both commercial and research applications are beginning to use it extensively. However the errors made by recognizers can be quite costly, and this is increasingly becoming a focus for researchers. We present a survey of existing error correction techniques in the user interface. These mediation techniques most commonly fall into one of two strategies, repetition and choice. Based on the needs uncovered by this survey, we have developed OOPS, a toolkit that supports resolution of input ambiguity through mediation. This paper describes four new interaction techniques built using OOPS, and the toolkit mechanisms required to build them. These interaction techniques each address problems not directly handled by standard approaches to mediation, and can all be re-used in a variety of settings. en
dc.format.extent 159231 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/3423
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries GVU Technical Report;GIT-GVU-00-13
dc.subject Ambiguity Resolution en
dc.subject Recognition en
dc.subject Error correction techniques en
dc.title Interaction Techniques for Ambiguity Resolution in Recognition-Based Interfaces en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Abowd, Gregory D.
local.contributor.corporatename GVU Center
local.relation.ispartofseries GVU Technical Report Series
relation.isAuthorOfPublication a9e4f620-85d6-4fb9-8851-8b0c3a0e66b4
relation.isOrgUnitOfPublication d5666874-cf8d-45f6-8017-3781c955500f
relation.isSeriesOfPublication a13d1649-8f8b-4a59-9dec-d602fa26bc32
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