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Your mileage may vary: Case study of a robotic telepresence pilot roll-out for a hybrid knowledge work organisation

Boudouraki, Andriana; Fischer, Joel E; Reeves, Stuart; Rintel, Sean

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Authors

Andriana Boudouraki

JOEL FISCHER Joel.Fischer@nottingham.ac.uk
Professor of Human-Computer Interaction

Sean Rintel



Abstract

Organisations wishing to maintain employee satisfaction for hybrid collaboration need to explore flexible solutions that provide value for both remote and on-site employees. In this case study, we report on the roll-out of a telepresence robot pilot at Microsoft Research Cambridge UK to test whether robots would provide enjoyable planned and unplanned encounters between remote and on-site employees. We describe the work that was undertaken to prepare for the roll-out, including the Occupational Health and Safety assessment, systems for safety and security, and the information for employees on safe and effective use practices. The pilot ended after three months, and robot use has been discontinued after weighing the opportunities against low adoption and other challenges. We discuss the pros and cons within this organisational setting, and make suggestions for future work and roll-outs.

Citation

Boudouraki, A., Fischer, J. E., Reeves, S., & Rintel, S. (2023). Your mileage may vary: Case study of a robotic telepresence pilot roll-out for a hybrid knowledge work organisation. In CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544549.3573871

Presentation Conference Type Edited Proceedings
Conference Name CHI '23: CHI Conference on Human Factors in Computing Systems
Start Date Apr 23, 2023
End Date Apr 28, 2023
Acceptance Date Apr 19, 2023
Online Publication Date Apr 19, 2023
Publication Date Apr 19, 2023
Deposit Date May 31, 2023
Publicly Available Date Jun 1, 2023
Publisher Association for Computing Machinery (ACM)
Book Title CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
ISBN 9781450394222
DOI https://doi.org/10.1145/3544549.3573871
Public URL https://nottingham-repository.worktribe.com/output/19789121
Publisher URL https://dl.acm.org/doi/10.1145/3544549.3573871
Additional Information CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems April 2023 Article No.: 408 Pages 1–7

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