Feeding the Coffee Habit: A Longitudinal Study of a Robo-Barista

Mei Yii Lim, David A Robb, Bruce W. Wilson, Helen Hastie

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

Studying Human-Robot Interaction over time can provide insights into what really happens when a robot becomes part of people’s everyday lives. “In the Wild” studies inform the design of social robots, such as for the service industry, to enable them to remain engaging and useful beyond the novelty effect and initial adoption. This paper presents an “In the Wild” experiment where we explored the evolution of interaction between users and a Robo-Barista. We show that perceived trust and prior attitudes are both important factors associated with the usefulness, adaptability and likeability of the Robo-Barista. A combination of interaction features and user attributes are used to predict user satisfaction. Qualitative insights illuminated users’ Robo-Barista experience and contribute to a number of lessons learned for future long-term studies.
Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Robot and Human Interactive Communication (RO-MAN 2023)
PublisherIEEE
Pages1983-1990
Number of pages8
ISBN (Electronic)9798350336702
ISBN (Print)9798350336719
DOIs
Publication statusPublished - 13 Nov 2023
Event32nd IEEE International Conference on Robot and Human Interactive Communication - Busan, Korea, Republic of
Duration: 28 Aug 202331 Aug 2023
Conference number: 32
https://ro-man2023.org/overview/welcomeMessage

Publication series

NameIEEE International Workshop on Robot and Human Communication (ROMAN)
PublisherIEEE
ISSN (Print)1944-9445
ISSN (Electronic)1944-9437

Conference

Conference32nd IEEE International Conference on Robot and Human Interactive Communication
Abbreviated titleIEEE RO-MAN 2023
Country/TerritoryKorea, Republic of
CityBusan
Period28/08/2331/08/23
Internet address

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