Limits...
Augmented Robotics Dialog System for Enhancing Human-Robot Interaction.

Alonso-Martín F, Castro-González A, Luengo FJ, Salichs MÁ - Sensors (Basel) (2015)

Bottom Line: This enriched information helps users better understand such events, at the same time providing a more satisfactory experience.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.

View Article: PubMed Central - PubMed

Affiliation: Robotics Lab, Universidad Carlos III de Madrid, Av. de la Universidad 30, Leganés, Madrid 28911, Spain. fernando.alonso@uc3m.es.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus

Layar, Watchdogs and augmented television. (a) Screen-shot of the Layar app. Additional information is superposed onto the image on the smart-phone. (b) Screen-shot of the game Watchdogs. In the game, enriched information is presented in the form of cards with details about characters or objects. (c) Zeebox is an augmented television app that shows live information about the current content.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4541855&req=5

f6-sensors-15-15799: Layar, Watchdogs and augmented television. (a) Screen-shot of the Layar app. Additional information is superposed onto the image on the smart-phone. (b) Screen-shot of the game Watchdogs. In the game, enriched information is presented in the form of cards with details about characters or objects. (c) Zeebox is an augmented television app that shows live information about the current content.

Mentions: IEn was first introduced by Salmen et al. [50]. They proposed IEn not by changing the data to which it is applied, but rather by adding an extra semantic layer to this data. Enriched information is getting very popular in IT fields. Companies are using this functionality with the intention of attracting new customers, retaining the old ones, increasing sales or surprising the users. A clear example is the rise of technologies, such as second screen or augmented television. These technologies give users the ability to complement media content with additional information. Some social TV services that use enriched information are Classora Augmented TV [51], Beamly/Zeboox [52] (Figure 6c), MioTV [53], GetGlue/Tvtags [54], Tockit [55] and Vuqio [56]. They can show the messages from social networks related to the content, the name of the actors in a film or what the content is about, for instance.


Augmented Robotics Dialog System for Enhancing Human-Robot Interaction.

Alonso-Martín F, Castro-González A, Luengo FJ, Salichs MÁ - Sensors (Basel) (2015)

Layar, Watchdogs and augmented television. (a) Screen-shot of the Layar app. Additional information is superposed onto the image on the smart-phone. (b) Screen-shot of the game Watchdogs. In the game, enriched information is presented in the form of cards with details about characters or objects. (c) Zeebox is an augmented television app that shows live information about the current content.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4541855&req=5

f6-sensors-15-15799: Layar, Watchdogs and augmented television. (a) Screen-shot of the Layar app. Additional information is superposed onto the image on the smart-phone. (b) Screen-shot of the game Watchdogs. In the game, enriched information is presented in the form of cards with details about characters or objects. (c) Zeebox is an augmented television app that shows live information about the current content.
Mentions: IEn was first introduced by Salmen et al. [50]. They proposed IEn not by changing the data to which it is applied, but rather by adding an extra semantic layer to this data. Enriched information is getting very popular in IT fields. Companies are using this functionality with the intention of attracting new customers, retaining the old ones, increasing sales or surprising the users. A clear example is the rise of technologies, such as second screen or augmented television. These technologies give users the ability to complement media content with additional information. Some social TV services that use enriched information are Classora Augmented TV [51], Beamly/Zeboox [52] (Figure 6c), MioTV [53], GetGlue/Tvtags [54], Tockit [55] and Vuqio [56]. They can show the messages from social networks related to the content, the name of the actors in a film or what the content is about, for instance.

Bottom Line: This enriched information helps users better understand such events, at the same time providing a more satisfactory experience.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.

View Article: PubMed Central - PubMed

Affiliation: Robotics Lab, Universidad Carlos III de Madrid, Av. de la Universidad 30, Leganés, Madrid 28911, Spain. fernando.alonso@uc3m.es.

ABSTRACT
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.

No MeSH data available.


Related in: MedlinePlus