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Adding Pluggable and Personalized Natural Control Capabilities to Existing Applications

Advancements in input device and sensor technologies led to the evolution of the traditional human-machine interaction paradigm based on the mouse and keyboard. Touch-, gesture- and voice-based interfaces are integrated today in a variety of applications running on consumer devices (e.g., gaming con...

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Detalles Bibliográficos
Autores principales: Lamberti, Fabrizio, Sanna, Andrea, Carlevaris, Gilles, Demartini, Claudio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367336/
https://www.ncbi.nlm.nih.gov/pubmed/25635410
http://dx.doi.org/10.3390/s150202832
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author Lamberti, Fabrizio
Sanna, Andrea
Carlevaris, Gilles
Demartini, Claudio
author_facet Lamberti, Fabrizio
Sanna, Andrea
Carlevaris, Gilles
Demartini, Claudio
author_sort Lamberti, Fabrizio
collection PubMed
description Advancements in input device and sensor technologies led to the evolution of the traditional human-machine interaction paradigm based on the mouse and keyboard. Touch-, gesture- and voice-based interfaces are integrated today in a variety of applications running on consumer devices (e.g., gaming consoles and smartphones). However, to allow existing applications running on desktop computers to utilize natural interaction, significant re-design and re-coding efforts may be required. In this paper, a framework designed to transparently add multi-modal interaction capabilities to applications to which users are accustomed is presented. Experimental observations confirmed the effectiveness of the proposed framework and led to a classification of those applications that could benefit more from the availability of natural interaction modalities.
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spelling pubmed-43673362015-04-30 Adding Pluggable and Personalized Natural Control Capabilities to Existing Applications Lamberti, Fabrizio Sanna, Andrea Carlevaris, Gilles Demartini, Claudio Sensors (Basel) Article Advancements in input device and sensor technologies led to the evolution of the traditional human-machine interaction paradigm based on the mouse and keyboard. Touch-, gesture- and voice-based interfaces are integrated today in a variety of applications running on consumer devices (e.g., gaming consoles and smartphones). However, to allow existing applications running on desktop computers to utilize natural interaction, significant re-design and re-coding efforts may be required. In this paper, a framework designed to transparently add multi-modal interaction capabilities to applications to which users are accustomed is presented. Experimental observations confirmed the effectiveness of the proposed framework and led to a classification of those applications that could benefit more from the availability of natural interaction modalities. MDPI 2015-01-28 /pmc/articles/PMC4367336/ /pubmed/25635410 http://dx.doi.org/10.3390/s150202832 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Lamberti, Fabrizio
Sanna, Andrea
Carlevaris, Gilles
Demartini, Claudio
Adding Pluggable and Personalized Natural Control Capabilities to Existing Applications
title Adding Pluggable and Personalized Natural Control Capabilities to Existing Applications
title_full Adding Pluggable and Personalized Natural Control Capabilities to Existing Applications
title_fullStr Adding Pluggable and Personalized Natural Control Capabilities to Existing Applications
title_full_unstemmed Adding Pluggable and Personalized Natural Control Capabilities to Existing Applications
title_short Adding Pluggable and Personalized Natural Control Capabilities to Existing Applications
title_sort adding pluggable and personalized natural control capabilities to existing applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4367336/
https://www.ncbi.nlm.nih.gov/pubmed/25635410
http://dx.doi.org/10.3390/s150202832
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