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Contex-aware gestures for mixed-initiative text editings UIs

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Contex-aware gestures for mixed-initiative text editings UIs

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dc.contributor.author Leiva, Luis A. es_ES
dc.contributor.author Alabau, Vicent es_ES
dc.contributor.author Romero Gómez, Verónica es_ES
dc.contributor.author Toselli, Alejandro Héctor es_ES
dc.contributor.author Vidal, Enrique es_ES
dc.date.accessioned 2016-05-31T10:24:10Z
dc.date.available 2016-05-31T10:24:10Z
dc.date.issued 2015
dc.identifier.issn 0953-5438
dc.identifier.uri http://hdl.handle.net/10251/64993
dc.description This is a pre-copyedited, author-produced PDF of an article accepted for publication in Interacting with computers following peer review. The version of record is available online at: http://dx.doi.org/10.1093/iwc/iwu019 es_ES
dc.description.abstract [EN] This work is focused on enhancing highly interactive text-editing applications with gestures. Concretely, we study Computer Assisted Transcription of Text Images (CATTI), a handwriting transcription system that follows a corrective feedback paradigm, where both the user and the system collaborate efficiently to produce a high-quality text transcription. CATTI-like applications demand fast and accurate gesture recognition, for which we observed that current gesture recognizers are not adequate enough. In response to this need we developed MinGestures, a parametric context-aware gesture recognizer. Our contributions include a number of stroke features for disambiguating copy-mark gestures from handwritten text, plus the integration of these gestures in a CATTI application. It becomes finally possible to create highly interactive stroke-based text-editing interfaces, without worrying to verify the user intent on-screen. We performed a formal evaluation with 22 e-pen users and 32 mouse users using a gesture vocabulary of 10 symbols. MinGestures achieved an outstanding accuracy (<1% error rate) with very high performance (<1 ms of recognition time). We then integrated MinGestures in a CATTI prototype and tested the performance of the interactive handwriting system when it is driven by gestures. Our results show that using gestures in interactive handwriting applications is both advantageous and convenient when gestures are simple but context-aware. Taken together, this work suggests that text-editing interfaces not only can be easily augmented with simple gestures, but also may substantially improve user productivity. es_ES
dc.description.sponsorship This work has been supported by the European Commission through the 7th Framework Program (tranScriptorium: FP7- ICT-2011-9, project 600707 and CasMaCat: FP7-ICT-2011-7, project 287576). It has also been supported by the Spanish MINECO under grant TIN2012-37475-C02-01 (STraDa), and the Generalitat Valenciana under grant ISIC/2012/004 (AMIIS).
dc.language Inglés es_ES
dc.publisher Oxford University Press es_ES
dc.relation MINECO/TIN2012-37475-C02-01/STraDa es_ES
dc.relation GV/ISIC/2012/004 (AMIIS) es_ES
dc.relation.ispartof Interacting with Computers es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Natural language interfaces es_ES
dc.subject Gestural input es_ES
dc.subject Online handwriting recognition es_ES
dc.subject Handwriting transcription es_ES
dc.subject Gesture recognition es_ES
dc.subject Interactive text edition es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Contex-aware gestures for mixed-initiative text editings UIs es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1093/iwc/iwu019
dc.relation.projectID info:eu-repo/grantAgreement/EC/FP7/600707 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Leiva, LA.; Alabau, V.; Romero Gómez, V.; Toselli, AH.; Vidal, E. (2015). Contex-aware gestures for mixed-initiative text editings UIs. Interacting with Computers. 27(6):675-696. https://doi.org/10.1093/iwc/iwu019 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1093/iwc/iwu019 es_ES
dc.description.upvformatpinicio 675 es_ES
dc.description.upvformatpfin 696 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 27 es_ES
dc.description.issue 6 es_ES
dc.relation.senia 282218 es_ES
dc.contributor.funder European Commission
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder Generalitat Valenciana
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