Owro: A Novel Robot For Sitting Posture Training Based On Adaptive Human Robot Interaction

Bourahmoune, K; Ishac, K; Carmichael, M; Amagasa, T

Owro: A Novel Robot For Sitting Posture Training Based On Adaptive Human Robot Interaction

Bourahmoune, K Ishac, K

Carmichael, M

Amagasa, T

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, 2022, 00, pp. 3986-3991
Issue Date:: 2022-12-20

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Field	Value	Language
dc.contributor.author	Bourahmoune, K
dc.contributor.author	Ishac, K https://orcid.org/0000-0001-6215-3297
dc.contributor.author	Carmichael, M https://orcid.org/0000-0001-8439-0074
dc.contributor.author	Amagasa, T
dc.date	2022-12-17
dc.date.accessioned	2023-04-13T00:46:06Z
dc.date.available	2023-04-13T00:46:06Z
dc.date.issued	2022-12-20
dc.identifier.citation	Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022, 2022, 00, pp. 3986-3991
dc.identifier.isbn	9781665480451
dc.identifier.uri	http://hdl.handle.net/10453/169704
dc.description.abstract	Human and machine interaction is shaping the future of work in a growing body of applications ranging from big data analysis to healthcare. While many employer-centered solutions have emerged in recent years in areas such as crowd-sourcing and big-data analysis, worker-centered approaches have received less attention. In this work, we explore a worker-centered application of Human-Robot Interaction (HRI) for improving human well-being at work through actively sensing and recognising sitting posture habits. We present a platform for data-driven human sitting posture training based on adaptive HRI feedback using a novel robot called Owro. Owro is an owl-shaped emotive desktop robot that connects with the LifeChair, which is an IoT cushion for sitting posture training. The robot displays various emotive feedback to correct poor sitting habits based on the actively recognised human sitting posture. Our results demonstrated that the HRI feedback was effective in improving sitting posture by significantly increasing the percentage of time spent sitting upright from 15.62% to 47.96%, significantly reducing the percentage of amount of time spent slouching from 84.38% to 52.04%, and promoting a healthier back pressure distribution. We also show preliminary survey results on the human perception of the HRI feedback using Owro.
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	Proceedings - 2022 IEEE International Conference on Big Data, Big Data 2022
dc.relation.ispartof	2022 IEEE International Conference on Big Data (Big Data)
dc.relation.isbasedon	10.1109/bigdata55660.2022.10020674
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Owro: A Novel Robot For Sitting Posture Training Based On Adaptive Human Robot Interaction
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - RI - Robotics Institute
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2023-04-13T00:46:04Z
pubs.finish-date	2022-12-20
pubs.publication-status	Published
pubs.start-date	2022-12-17
pubs.volume	00

Abstract:

Human and machine interaction is shaping the future of work in a growing body of applications ranging from big data analysis to healthcare. While many employer-centered solutions have emerged in recent years in areas such as crowd-sourcing and big-data analysis, worker-centered approaches have received less attention. In this work, we explore a worker-centered application of Human-Robot Interaction (HRI) for improving human well-being at work through actively sensing and recognising sitting posture habits. We present a platform for data-driven human sitting posture training based on adaptive HRI feedback using a novel robot called Owro. Owro is an owl-shaped emotive desktop robot that connects with the LifeChair, which is an IoT cushion for sitting posture training. The robot displays various emotive feedback to correct poor sitting habits based on the actively recognised human sitting posture. Our results demonstrated that the HRI feedback was effective in improving sitting posture by significantly increasing the percentage of time spent sitting upright from 15.62% to 47.96%, significantly reducing the percentage of amount of time spent slouching from 84.38% to 52.04%, and promoting a healthier back pressure distribution. We also show preliminary survey results on the human perception of the HRI feedback using Owro.

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http://hdl.handle.net/10453/169704