Crowd of Oz: A Crowd-powered Teleoperation System for Enhanced Human-Robot Conversations

Tahir Abbas, Vassilis-Javed Khan, Ujwal Gadiraju, Emilia Barakova, Panos Markopoulos

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

We present Crowd of Oz (CoZ) - a crowd powered system to enable real time dialogue between a Pepper robot and a user. CoZ includes media rich interfaces and advanced architecture to swiftly elicit crowd responses for the Pepper robot. We have empirically demonstrated that users can be engaged in a beneficial discussion with the crowd-powered robot, that acts as a coach to mitigate stress.
Original languageEnglish
Title of host publicationHRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Pages81-83
Number of pages3
ISBN (Electronic)978-1-4503-7057-8
DOIs
Publication statusPublished - 2020
Externally publishedYes
EventCompanion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020) - Cambridge, United Kingdom
Duration: 23 Mar 202026 Mar 2020

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

ConferenceCompanion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020)
Abbreviated titleHRI ’20 Companion
Country/TerritoryUnited Kingdom
CityCambridge
Period23/03/2026/03/20

Keywords

  • Real-time crowd computing
  • Social conversations
  • Social robotics
  • Teleoperation
  • Web robotics

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