Demonstration of a Robo- Barista for In the Wild Interactions

Mei Yii Lim; Jose David Aguas Lopes; David A. Robb; Bruce W. Wilson; Meriam Moujahid; Helen Hastie

doi:10.1109/HRI53351.2022.9889443

Demonstration of a Robo- Barista for In the Wild Interactions

Mei Yii Lim, Jose David Aguas Lopes, David A. Robb, Bruce W. Wilson, Meriam Moujahid, Helen Hastie

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

We present a demonstration of a Robo-Barista: a social robot that takes hot beverage orders through verbal interaction and completes them via a Bluetooth enabled coffee machine. The demonstration is highly robust and it is the intention that this could be installed as a permanent feature, enabling 'In the Wild' experimentation and long term studies. In the demonstration video, we show a user interacting with a Furhat robot to order a coffee. The robot has a novel architecture that allows it to exhibit both verbal and non-verbal cues, such as shared attention and chitchat. Furthermore, it is enabled with a unique tiredness detector based on visual facial features.

Original language	English
Title of host publication	17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)
Publisher	IEEE
Pages	1200-1201
Number of pages	2
ISBN (Electronic)	9781538685549
DOIs	https://doi.org/10.1109/HRI53351.2022.9889443
Publication status	Published - 29 Sept 2022
Event	17th Annual ACM/IEEE International Conference on Human-Robot Interaction 2022 - Online, Sapporo, Japan Duration: 7 Mar 2022 → 10 Mar 2022 https://humanrobotinteraction.org/2022/

Conference

Conference	17th Annual ACM/IEEE International Conference on Human-Robot Interaction 2022
Abbreviated title	HRI 2022
Country/Territory	Japan
City	Sapporo
Period	7/03/22 → 10/03/22
Internet address	https://humanrobotinteraction.org/2022/

Keywords

Human-robot interaction
in the wild experiment
robot barista
tiredness detector
trust

ASJC Scopus subject areas

Artificial Intelligence
Human-Computer Interaction
Electrical and Electronic Engineering

Access to Document

10.1109/HRI53351.2022.9889443

Cite this

@inproceedings{48aaa90624c0479ab09d8b0e9741fda5,

title = "Demonstration of a Robo- Barista for In the Wild Interactions",

abstract = "We present a demonstration of a Robo-Barista: a social robot that takes hot beverage orders through verbal interaction and completes them via a Bluetooth enabled coffee machine. The demonstration is highly robust and it is the intention that this could be installed as a permanent feature, enabling 'In the Wild' experimentation and long term studies. In the demonstration video, we show a user interacting with a Furhat robot to order a coffee. The robot has a novel architecture that allows it to exhibit both verbal and non-verbal cues, such as shared attention and chitchat. Furthermore, it is enabled with a unique tiredness detector based on visual facial features.",

keywords = "Human-robot interaction, in the wild experiment, robot barista, tiredness detector, trust",

author = "Lim, {Mei Yii} and {Aguas Lopes}, {Jose David} and Robb, {David A.} and Wilson, {Bruce W.} and Meriam Moujahid and Helen Hastie",

note = "Funding Information: ACKNOWLEDGEMENTS This work was funded and supported by the EPSRC ORCA Hub (EP/R026173/1) and UKRI Node on Trust (EP/V026682/1). We acknowledge Cisco for their contribution for the tiredness detection. Publisher Copyright: {\textcopyright} 2022 IEEE.; 17th Annual ACM/IEEE International Conference on Human-Robot Interaction 2022, HRI 2022 ; Conference date: 07-03-2022 Through 10-03-2022",

year = "2022",

month = sep,

day = "29",

doi = "10.1109/HRI53351.2022.9889443",

language = "English",

pages = "1200--1201",

booktitle = "17th ACM/IEEE International Conference on Human-Robot Interaction (HRI)",

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}

Lim, MY, Aguas Lopes, JD, Robb, DA , Wilson, BW, Moujahid, M & Hastie, H 2022, Demonstration of a Robo- Barista for In the Wild Interactions. in 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI). IEEE, pp. 1200-1201, 17th Annual ACM/IEEE International Conference on Human-Robot Interaction 2022, Sapporo, Japan, 7/03/22. https://doi.org/10.1109/HRI53351.2022.9889443

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AU - Lim, Mei Yii

AU - Aguas Lopes, Jose David

AU - Robb, David A.

AU - Wilson, Bruce W.

AU - Moujahid, Meriam

AU - Hastie, Helen

N1 - Funding Information: ACKNOWLEDGEMENTS This work was funded and supported by the EPSRC ORCA Hub (EP/R026173/1) and UKRI Node on Trust (EP/V026682/1). We acknowledge Cisco for their contribution for the tiredness detection. Publisher Copyright: © 2022 IEEE.

PY - 2022/9/29

Y1 - 2022/9/29

N2 - We present a demonstration of a Robo-Barista: a social robot that takes hot beverage orders through verbal interaction and completes them via a Bluetooth enabled coffee machine. The demonstration is highly robust and it is the intention that this could be installed as a permanent feature, enabling 'In the Wild' experimentation and long term studies. In the demonstration video, we show a user interacting with a Furhat robot to order a coffee. The robot has a novel architecture that allows it to exhibit both verbal and non-verbal cues, such as shared attention and chitchat. Furthermore, it is enabled with a unique tiredness detector based on visual facial features.

AB - We present a demonstration of a Robo-Barista: a social robot that takes hot beverage orders through verbal interaction and completes them via a Bluetooth enabled coffee machine. The demonstration is highly robust and it is the intention that this could be installed as a permanent feature, enabling 'In the Wild' experimentation and long term studies. In the demonstration video, we show a user interacting with a Furhat robot to order a coffee. The robot has a novel architecture that allows it to exhibit both verbal and non-verbal cues, such as shared attention and chitchat. Furthermore, it is enabled with a unique tiredness detector based on visual facial features.

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KW - in the wild experiment

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KW - tiredness detector

KW - trust

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M3 - Conference contribution

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Demonstration of a Robo- Barista for In the Wild Interactions

Abstract

Conference

Keywords

ASJC Scopus subject areas

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