Acceptability, Acceptance and Adoption of Telepresence Robots in Museums: The Museum Professionals' Perspectives

要旨

Telepresence robots have the potential to change our experiences in galleries and museums, allowing for a range of hybrid interactions for visitors and museum professionals, improving accessibility, offering activities or information, and providing a range of practical use cases (e.g. the robots augmenting museum exhibits). We present the results of 3 qualitative studies conducted in the UK exploring the acceptability (1 - interviews with museum professionals with no previous exposure to telepresence), acceptance (2 – focus groups for initial exposure to telepresence robots), and adoption (3 – interviews with museum professionals with long-term exposure to robots) of telepresence robots in museums. Our results identified opportunities and barriers focusing on the unique perspective of museum professionals and showed how priorities of museums shift and change according to their exposure to different technologies. We proposed a set of practical guidelines for future telepresence robots in museums, including design implications, potential applications, and integration strategies.

著者
Harriet R. Cameron
University of Nottingham, Nottingham, United Kingdom
Gisela Reyes-Cruz
University of Nottingham, Nottingham, United Kingdom
Anna-Maria Piskopani
University of Nottingham, Nottingham, United Kingdom
Pepita Barnard
University of Nottingham, Nottingham, United Kingdom
Andriana Boudouraki
University of Nottingham, Nottingham , United Kingdom
Praminda Caleb-Solly
University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
Simon D. Castle-Green
University of Nottingham, Nottingham, United Kingdom
Joel E. Fischer
University of Nottingham, Nottingham, United Kingdom
Richard Hyde
University of Nottingham, Nottingham, United Kingdom
Ayse Kucukyilmaz
University of Nottingham, Nottingham, United Kingdom
Horia A.. Maior
University of Nottingham, Nottingham, Nottinghamshire, United Kingdom
DOI

10.1145/3706598.3713533

論文URL

https://dl.acm.org/doi/10.1145/3706598.3713533

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Expressive Machines

Annex Hall F206
7 件の発表
2025-04-29 01:20:00
2025-04-29 02:50:00
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