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

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

Conference Paper (2020)

Author(s)

Tahir Abbas (Eindhoven University of Technology)

Vassilis-Javed Khan (Eindhoven University of Technology)

Ujwal Gadiraju (Leibniz University of Hannover)

Emilia Barakova (Eindhoven University of Technology)

Panos Markopoulos (Eindhoven University of Technology)

Affiliation

External organisation

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

DOI related publication

https://doi.org/10.1145/3371382.3378335 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:579dd13b-cd6f-46fb-abb1-e452863b50bf

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Publication Year

2020

Language

English

Affiliation

External organisation

Pages (from-to)

81-83

ISBN (electronic)

978-1-4503-7057-8

Event

Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020) (2020-03-23 - 2020-03-26), Cambridge, United Kingdom

Downloads counter

219

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.