Towards an adaptive conversational robot using biosignals

Dagoberto Cruz-Sandoval*, Jesús Favela, Mario Parra, Netzahualcoyotl Hernandez

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-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 languageEnglish
Title of host publicationMexIHC 2018 - Proceedings of the 7th Mexican Conference on Human-Computer Interaction
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450366533
DOIs
Publication statusPublished - 29 Oct 2018
Externally publishedYes
Event7th Mexican Conference on Human-Computer Interaction, MexIHC 2018 - Merida, Mexico
Duration: 29 Oct 201831 Oct 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference7th Mexican Conference on Human-Computer Interaction, MexIHC 2018
Country/TerritoryMexico
CityMerida
Period29/10/1831/10/18

Keywords

  • Adaptive robot interfaces
  • Biosignals
  • Social robots
  • Wearable sensors

Fingerprint

Dive into the research topics of 'Towards an adaptive conversational robot using biosignals'. Together they form a unique fingerprint.

Cite this