Augmented Robotics Dialog System for Enhancing Human–Robot Interaction

Augmented reality, augmented television and second screen are cutting edge technologies that provide end users extra and enhanced information related to certain events in real time. This enriched information helps users better understand such events, at the same time providing a more satisfactory ex...

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Main Authors: Fernando Alonso-Martín, Aĺvaro Castro-González, Francisco Javier Fernandez de Gorostiza Luengo, Miguel Ángel Salichs
Format: Article
Language:English
Published: MDPI AG 2015-07-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/15/7/15799
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author Fernando Alonso-Martín
Aĺvaro Castro-González
Francisco Javier Fernandez de Gorostiza Luengo
Miguel Ángel Salichs
author_facet Fernando Alonso-Martín
Aĺvaro Castro-González
Francisco Javier Fernandez de Gorostiza Luengo
Miguel Ángel Salichs
author_sort Fernando Alonso-Martín
collection DOAJ
description Augmented reality, augmented television and second screen are cutting edge technologies that provide end users extra and enhanced information related to certain events in real time. This enriched information helps users better understand such events, at the same time providing a more satisfactory experience. In the present paper, we apply this main idea to human–robot interaction (HRI), to how users and robots interchange information. The ultimate goal of this paper is to improve the quality of HRI, developing a new dialog manager system that incorporates enriched information from the semantic web. This work presents the augmented robotic dialog system (ARDS), which uses natural language understanding mechanisms to provide two features: (i) a non-grammar multimodal input (verbal and/or written) text; and (ii) a contextualization of the information conveyed in the interaction. This contextualization is achieved by information enrichment techniques that link the extracted information from the dialog with extra information about the world available in semantic knowledge bases. This enriched or contextualized information (information enrichment, semantic enhancement or contextualized information are used interchangeably in the rest of this paper) offers many possibilities in terms of HRI. For instance, it can enhance the robot’s pro-activeness during a human–robot dialog (the enriched information can be used to propose new topics during the dialog, while ensuring a coherent interaction). Another possibility is to display additional multimedia content related to the enriched information on a visual device. This paper describes the ARDS and shows a proof of concept of its applications.
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spelling doaj.art-a2c0e07a4c1c470984990434b8abd13f2022-12-22T01:56:39ZengMDPI AGSensors1424-82202015-07-01157157991582910.3390/s150715799s150715799Augmented Robotics Dialog System for Enhancing Human–Robot InteractionFernando Alonso-Martín0Aĺvaro Castro-González1Francisco Javier Fernandez de Gorostiza Luengo2Miguel Ángel Salichs3Robotics Lab, Universidad Carlos III de Madrid, Av. de la Universidad 30, Leganés, Madrid 28911, SpainRobotics Lab, Universidad Carlos III de Madrid, Av. de la Universidad 30, Leganés, Madrid 28911, SpainRobotics Lab, Universidad Carlos III de Madrid, Av. de la Universidad 30, Leganés, Madrid 28911, SpainRobotics Lab, Universidad Carlos III de Madrid, Av. de la Universidad 30, Leganés, Madrid 28911, SpainAugmented reality, augmented television and second screen are cutting edge technologies that provide end users extra and enhanced information related to certain events in real time. This enriched information helps users better understand such events, at the same time providing a more satisfactory experience. In the present paper, we apply this main idea to human–robot interaction (HRI), to how users and robots interchange information. The ultimate goal of this paper is to improve the quality of HRI, developing a new dialog manager system that incorporates enriched information from the semantic web. This work presents the augmented robotic dialog system (ARDS), which uses natural language understanding mechanisms to provide two features: (i) a non-grammar multimodal input (verbal and/or written) text; and (ii) a contextualization of the information conveyed in the interaction. This contextualization is achieved by information enrichment techniques that link the extracted information from the dialog with extra information about the world available in semantic knowledge bases. This enriched or contextualized information (information enrichment, semantic enhancement or contextualized information are used interchangeably in the rest of this paper) offers many possibilities in terms of HRI. For instance, it can enhance the robot’s pro-activeness during a human–robot dialog (the enriched information can be used to propose new topics during the dialog, while ensuring a coherent interaction). Another possibility is to display additional multimedia content related to the enriched information on a visual device. This paper describes the ARDS and shows a proof of concept of its applications.http://www.mdpi.com/1424-8220/15/7/15799augmented dialogaugmented interactioncontextualized dialogsocial robotshuman–robot interactionHRInatural language understandingnatural language processinginteraction systemdialog systemmultimodal interaction
spellingShingle Fernando Alonso-Martín
Aĺvaro Castro-González
Francisco Javier Fernandez de Gorostiza Luengo
Miguel Ángel Salichs
Augmented Robotics Dialog System for Enhancing Human–Robot Interaction
Sensors
augmented dialog
augmented interaction
contextualized dialog
social robots
human–robot interaction
HRI
natural language understanding
natural language processing
interaction system
dialog system
multimodal interaction
title Augmented Robotics Dialog System for Enhancing Human–Robot Interaction
title_full Augmented Robotics Dialog System for Enhancing Human–Robot Interaction
title_fullStr Augmented Robotics Dialog System for Enhancing Human–Robot Interaction
title_full_unstemmed Augmented Robotics Dialog System for Enhancing Human–Robot Interaction
title_short Augmented Robotics Dialog System for Enhancing Human–Robot Interaction
title_sort augmented robotics dialog system for enhancing human robot interaction
topic augmented dialog
augmented interaction
contextualized dialog
social robots
human–robot interaction
HRI
natural language understanding
natural language processing
interaction system
dialog system
multimodal interaction
url http://www.mdpi.com/1424-8220/15/7/15799
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AT alvarocastrogonzalez augmentedroboticsdialogsystemforenhancinghumanrobotinteraction
AT franciscojavierfernandezdegorostizaluengo augmentedroboticsdialogsystemforenhancinghumanrobotinteraction
AT miguelangelsalichs augmentedroboticsdialogsystemforenhancinghumanrobotinteraction