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Please use this identifier to cite or link to this item: http://dspace.ucuenca.edu.ec/handle/123456789/22051
Title: A model-driven method for gesture-based interface requirements specification
Authors: Parra Gonzalez, Luis Otto
metadata.dc.ucuenca.correspondencia: González, O.P.; PROS Research Centre, Universitat Politècnica de ValènciaSpain
metadata.dc.ucuenca.nombrerevista: Joint Workshops on 20th International Conference on Requirements Engineering: Foundation for Software Quality REFSQ-WS 2014
Keywords: Gesture-Based Interaction
Gesture-Based Interface Requirements Specification
Model-Driven Method
Requirements Engineering
User Interface
Issue Date: 7-Apr-2014
metadata.dc.ucuenca.embargoend: 1-Jan-2022
metadata.dc.ucuenca.volumen: 1138
metadata.dc.source: CEUR Workshop Proceedings
Publisher: CEUR-WS
metadata.dc.type: Article
Currently there are several software development suites that include tools for user interface design and implementation (mainly by programming source code). Some of the tools are multi-platform and multi-style; that is, al-lowing the specification of devices, e.g. computer, notebook, smartphone, and user interaction styles, e.g. based on gestures, voice, mouse and keyboard. Among the styles, gesture-based interaction is neglected, despite the proliferation of gesture-recognizing devices. Given the variety of styles of human-computer interaction currently available, it is necessary to include information on these styles in software requirements specification to obtain a complete spec-ification prior to code generation. In this paper, we propose the design of a model-driven method and tool that allows specifying gesture-based interactions and then generates gesture-based interface requirements specification. We in-tend to our proposal be interoperable with existing methods and tools. The re-search method follows design science and we plan to validate our proposals by means of technical action-research.
URI: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84924991846&partnerID=40&md5=8811528151ba9a07b310c614bddeb568
ISSN: 16130073
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