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)

U.K. Gadiraju (Leibniz University of Hannover)

Emilia Barakova (Eindhoven University of Technology)

Panos Markopoulos (Eindhoven University of Technology)

Affiliation

External organisation

DOI related publication

https://doi.org/10.1145/3371382.3378335

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

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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

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.

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