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

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

doi:10.1145/3371382.3378335

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 volume › Conference contribution › Scientific › peer-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 language	English
Title of host publication	HRI ’20 Companion, March 23–26, 2020, Cambridge, United Kingdom
Number of pages	4
ISBN (Electronic)	978-1-4503-7057-8
DOIs	https://doi.org/10.1145/3371382.3378335
Publication status	Published - 2020
Externally published	Yes
Event	Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020) - Cambridge, United Kingdom Duration: 23 Mar 2020 → 26 Mar 2020

Conference

Conference	Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020)
Abbreviated title	HRI ’20 Companion
Country	United Kingdom
City	Cambridge
Period	23/03/20 → 26/03/20

Access to Document

10.1145/3371382.3378335

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title = "Crowd of Oz: A Crowd-powered Teleoperation System for Enhanced Human-Robot Conversations",

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.",

author = "Tahir Abbas and Vassilis-Javed Khan and Ujwal Gadiraju and Emilia Barakova and Panos Markopoulos",

year = "2020",

doi = "10.1145/3371382.3378335",

language = "English",

booktitle = "HRI {\textquoteright}20 Companion, March 23–26, 2020, Cambridge, United Kingdom",

note = "Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020), HRI {\textquoteright}20 Companion ; Conference date: 23-03-2020 Through 26-03-2020",

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Abbas, T, Khan, V-J, Gadiraju, U, Barakova, E & Markopoulos, P 2020, Crowd of Oz: A Crowd-powered Teleoperation System for Enhanced Human-Robot Conversations. in HRI ’20 Companion, March 23–26, 2020, Cambridge, United Kingdom. Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020), Cambridge, United Kingdom, 23/03/20. https://doi.org/10.1145/3371382.3378335

Crowd of Oz: A Crowd-powered Teleoperation System for Enhanced Human-Robot Conversations. / Abbas, Tahir; Khan, Vassilis-Javed; Gadiraju, Ujwal; Barakova, Emilia; Markopoulos, Panos.

HRI ’20 Companion, March 23–26, 2020, Cambridge, United Kingdom. 2020.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Crowd of Oz: A Crowd-powered Teleoperation System for Enhanced Human-Robot Conversations

AU - Abbas, Tahir

AU - Khan, Vassilis-Javed

AU - Gadiraju, Ujwal

AU - Barakova, Emilia

AU - Markopoulos, Panos

PY - 2020

Y1 - 2020

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AB - 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.

U2 - 10.1145/3371382.3378335

DO - 10.1145/3371382.3378335

M3 - Conference contribution

BT - HRI ’20 Companion, March 23–26, 2020, Cambridge, United Kingdom

T2 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction (HRI 2020)

Y2 - 23 March 2020 through 26 March 2020

ER -