A Drink-Serving Mobile Social Robot Selects who to Interact with Using Gaze

Oskar Palinko, Kerstin Fischer, Eduardo Ruiz Ramírez, Lotte Damsgaard Nissen, Rosalyn M. Langedijk

Publikation: Kapitel i bog/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Abstrakt

Robots will soon deliver food and beverages in various environments. These robots will need to communicate their intention efficiently; for example, they should indicate who they are addressing. We conducted a real-world study of a water serving robot at a university cafeteria. The robot was operated in a Wizard-of-Oz manner. It approached and offered water to students having their lunch. Our analyses of the relationship between robot gaze direction and the likelihood that someone takes a drink show that if people do not already have a drink and the interaction is not dominated by an overly enthusiastic user, the robot’s gaze behavior is effective in selecting an interaction partner even “in the wild”.
OriginalsprogEngelsk
TitelProceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction
ForlagAssociation for Computing Machinery
Publikationsdato23. mar. 2020
Sider384-385
ISBN (Elektronisk)9781450370578
DOI
StatusUdgivet - 23. mar. 2020
Begivenhed15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020 - Cambridge, Storbritannien
Varighed: 23. mar. 202026. mar. 2020

Konference

Konference15th Annual ACM/IEEE International Conference on Human Robot Interaction, HRI 2020
LandStorbritannien
ByCambridge
Periode23/03/202026/03/2020
SponsorARM, Cambridge Consultants, et al., FN Robotics, Furhat Robotics, Halodi

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