Towards an Adaptive Conversational Robot using Biosignals

Dagoberto Cruz-sandoval; Jesús Favela; Mario Parra; Netzahualcoyotl Hernandez-Cruz

doi:10.1145/3293578.3293595

Towards an Adaptive Conversational Robot using Biosignals

Dagoberto Cruz-sandoval, Jesús Favela, Mario Parra, Netzahualcoyotl Hernandez-Cruz

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Social robots are becoming ubiquitous. In contrast with traditional robots, they are designed to interact with other humans through gestures, voice and even changes in mood. Advances in speech recognition and synthesis have promoted the development of conversational robots capable of interacting through relatively simple speech commands. We describe work aimed at developing conversational robots that adapt their interaction based on cues related to mood and behavior gathered from wearable sensors. In particular, we describe scenarios in the area of assisted living that have been developed using a participatory design process and a cloud-based architecture designed to gather, process and distribute sensor data to adapt the robot. The analysis of data gathered for two of these scenarios is analyzed to illustrate the feasibility of the approach.

Original language	English
Title of host publication	Mexican Conference on Human-Computer Interaction
Pages	1-6
DOIs	https://doi.org/10.1145/3293578.3293595
Publication status	Published (in print/issue) - 29 Oct 2018

Keywords

Social robots
biosignals
wearable sensors
adaptive robotinterfaces

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10.1145/3293578.3293595

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title = "Towards an Adaptive Conversational Robot using Biosignals",

abstract = "Social robots are becoming ubiquitous. In contrast with traditional robots, they are designed to interact with other humans through gestures, voice and even changes in mood. Advances in speech recognition and synthesis have promoted the development of conversational robots capable of interacting through relatively simple speech commands. We describe work aimed at developing conversational robots that adapt their interaction based on cues related to mood and behavior gathered from wearable sensors. In particular, we describe scenarios in the area of assisted living that have been developed using a participatory design process and a cloud-based architecture designed to gather, process and distribute sensor data to adapt the robot. The analysis of data gathered for two of these scenarios is analyzed to illustrate the feasibility of the approach.",

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AU - Favela, Jesús

AU - Parra, Mario

AU - Hernandez-Cruz, Netzahualcoyotl

PY - 2018/10/29

Y1 - 2018/10/29

N2 - Social robots are becoming ubiquitous. In contrast with traditional robots, they are designed to interact with other humans through gestures, voice and even changes in mood. Advances in speech recognition and synthesis have promoted the development of conversational robots capable of interacting through relatively simple speech commands. We describe work aimed at developing conversational robots that adapt their interaction based on cues related to mood and behavior gathered from wearable sensors. In particular, we describe scenarios in the area of assisted living that have been developed using a participatory design process and a cloud-based architecture designed to gather, process and distribute sensor data to adapt the robot. The analysis of data gathered for two of these scenarios is analyzed to illustrate the feasibility of the approach.

AB - Social robots are becoming ubiquitous. In contrast with traditional robots, they are designed to interact with other humans through gestures, voice and even changes in mood. Advances in speech recognition and synthesis have promoted the development of conversational robots capable of interacting through relatively simple speech commands. We describe work aimed at developing conversational robots that adapt their interaction based on cues related to mood and behavior gathered from wearable sensors. In particular, we describe scenarios in the area of assisted living that have been developed using a participatory design process and a cloud-based architecture designed to gather, process and distribute sensor data to adapt the robot. The analysis of data gathered for two of these scenarios is analyzed to illustrate the feasibility of the approach.

KW - Social robots

KW - biosignals

KW - wearable sensors

KW - adaptive robotinterfaces

U2 - 10.1145/3293578.3293595

DO - 10.1145/3293578.3293595

M3 - Conference contribution

SP - 1

EP - 6

BT - Mexican Conference on Human-Computer Interaction

ER -

Towards an Adaptive Conversational Robot using Biosignals

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Keywords

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