Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments

Yu, X; Wang, Y; Tran, TTM; Zhao, Y; Perez, JSB; Hoggenmüller, M; Humphry, J; Loke, L; Masuda, L; Parker, C; Tomitsch, M; Worrall, S

Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments

Yu, X Wang, Y

Tran, TTM Zhao, Y Perez, JSB Hoggenmüller, M Humphry, J Loke, L Masuda, L Parker, C Tomitsch, M

Worrall, S

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Publisher:: ACM
Publication Type:: Conference Proceeding
Citation:: OzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction Conference, 2024, pp. 701-705
Issue Date:: 2024-12-02

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Field	Value	Language
dc.contributor.author	Yu, X
dc.contributor.author	Wang, Y https://orcid.org/0000-0003-2610-1283
dc.contributor.author	Tran, TTM
dc.contributor.author	Zhao, Y
dc.contributor.author	Perez, JSB
dc.contributor.author	Hoggenmüller, M
dc.contributor.author	Humphry, J
dc.contributor.author	Loke, L
dc.contributor.author	Masuda, L
dc.contributor.author	Parker, C
dc.contributor.author	Tomitsch, M https://orcid.org/0000-0003-1998-2975
dc.contributor.author	Worrall, S
dc.date	2023-12-02
dc.date.accessioned	2025-01-31T00:00:31Z
dc.date.available	2025-01-31T00:00:31Z
dc.date.issued	2024-12-02
dc.identifier.citation	OzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction Conference, 2024, pp. 701-705
dc.identifier.isbn	979-8-4007-1707-9
dc.identifier.uri	http://hdl.handle.net/10453/184727
dc.description.abstract	The increasing transition of human-robot interaction (HRI) context from controlled settings to dynamic, real-world public environments calls for enhanced adaptability in robotic systems. This can go beyond algorithmic navigation or traditional HRI strategies in structured settings, requiring the ability to navigate complex public urban systems containing multifaceted dynamics and various socio-technical needs. Therefore, our proposed workshop seeks to extend the boundaries of adaptive HRI research beyond predictable, semi-structured contexts and highlight opportunities for adaptable robot interactions in urban public environments. This half-day workshop aims to explore design opportunities and challenges in creating contextually-adaptive HRI within these spaces and establish a network of interested parties within the OzCHI research community. By fostering ongoing discussions, sharing of insights, and collaborations, we aim to catalyse future research that empowers robots to navigate the inherent uncertainties and complexities of real-world public interactions.
dc.language	en
dc.publisher	ACM
dc.relation	http://purl.org/au-research/grants/arc/DP200102604
dc.relation.ispartof	OzCHI '23: Proceedings of the 35th Australian Computer-Human Interaction Conference
dc.relation.ispartof	Australian Computer-Human Interaction Conference
dc.relation.ispartofseries	ACM International Conference Proceeding Series
dc.relation.isbasedon	10.1145/3638380.3638440
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Robots in the Wild: Contextually-Adaptive Human-Robot Interactions in Urban Public Environments
dc.type	Conference Proceeding
utslib.location.activity	Wellington New Zealand
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/Provost
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/Provost/TD School
utslib.copyright.status	closed_access	*
pubs.consider-herdc	false
dc.date.updated	2025-01-31T00:00:29Z
pubs.finish-date	2023-12-06
pubs.place-of-publication	USA
pubs.publication-status	Published
pubs.start-date	2023-12-02
dc.location	USA

Abstract:

The increasing transition of human-robot interaction (HRI) context from controlled settings to dynamic, real-world public environments calls for enhanced adaptability in robotic systems. This can go beyond algorithmic navigation or traditional HRI strategies in structured settings, requiring the ability to navigate complex public urban systems containing multifaceted dynamics and various socio-technical needs. Therefore, our proposed workshop seeks to extend the boundaries of adaptive HRI research beyond predictable, semi-structured contexts and highlight opportunities for adaptable robot interactions in urban public environments. This half-day workshop aims to explore design opportunities and challenges in creating contextually-adaptive HRI within these spaces and establish a network of interested parties within the OzCHI research community. By fostering ongoing discussions, sharing of insights, and collaborations, we aim to catalyse future research that empowers robots to navigate the inherent uncertainties and complexities of real-world public interactions.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/184727