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/Report/Conference proceeding › Conference contribution › Academic › peer-review

2 Citations (Scopus)

146 Downloads (Pure)

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 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
Publisher	IEEE Computer Society
Pages	81-83
Number of pages	3
ISBN (Electronic)	9781450370578
DOIs	https://doi.org/10.1145/3371382.3378335
Publication status	Published - 23 Mar 2020
Event	15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 - Cambridge, United Kingdom Duration: 23 Mar 2020 → 26 Mar 2020

Conference

Conference	15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020
Country/Territory	United Kingdom
City	Cambridge
Period	23/03/20 → 26/03/20

Keywords

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

Access to Document

10.1145/3371382.3378335

3371382.3378335Final published version, 1.7 MB

Cite this

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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.",

keywords = "Real-time crowd computing, Social conversations, Social robotics, Teleoperation, Web robotics",

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

year = "2020",

month = mar,

day = "23",

doi = "10.1145/3371382.3378335",

language = "English",

pages = "81--83",

booktitle = "HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction",

publisher = "IEEE Computer Society",

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note = "15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 ; Conference date: 23-03-2020 Through 26-03-2020",

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Abbas, T, Khan, VJ, Gadiraju, U, Barakova, E & Markopoulos, P 2020, Crowd of Oz: a crowd-powered teleoperation system for enhanced human-robot conversations. in HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, pp. 81-83, 15th Annual 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 et al.
HRI 2020 - Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. IEEE Computer Society, 2020. p. 81-83.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AU - Markopoulos, Panos

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KW - Social conversations

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Crowd of Oz: a crowd-powered teleoperation system for enhanced human-robot conversations

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Keywords

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