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

Sketch of the main components of the robotic dialog system: perception skills that feed the multimodal fusion module, the dialog manager, the multimodal fission module and the expression skills that control the actuators (hardware elements).
© Copyright Policy
Related In: Results  -  Collection

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

f2-sensors-15-15799: Sketch of the main components of the robotic dialog system: perception skills that feed the multimodal fusion module, the dialog manager, the multimodal fission module and the expression skills that control the actuators (hardware elements).

Mentions: As mentioned before, the ARDS is an extension of a previous dialog management system, called the robotic dialog system (RDS). Here, we briefly describe the RDS to facilitate understanding of the rest of this paper. More details can be found in [22–24,32]. The RDS is intended to manage the interaction between a robot and one or more users. It is integrated within the robot's control architecture, which manages all of the tasks and processes, which include navigation, user interaction and other robot skills. See Figure 2.


Augmented Robotics Dialog System for Enhancing Human-Robot Interaction.

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

Sketch of the main components of the robotic dialog system: perception skills that feed the multimodal fusion module, the dialog manager, the multimodal fission module and the expression skills that control the actuators (hardware elements).
© Copyright Policy
Related In: Results  -  Collection

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

f2-sensors-15-15799: Sketch of the main components of the robotic dialog system: perception skills that feed the multimodal fusion module, the dialog manager, the multimodal fission module and the expression skills that control the actuators (hardware elements).
Mentions: As mentioned before, the ARDS is an extension of a previous dialog management system, called the robotic dialog system (RDS). Here, we briefly describe the RDS to facilitate understanding of the rest of this paper. More details can be found in [22–24,32]. The RDS is intended to manage the interaction between a robot and one or more users. It is integrated within the robot's control architecture, which manages all of the tasks and processes, which include navigation, user interaction and other robot skills. See Figure 2.

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