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: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

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
StatusAccepteret/In press - 10. jan. 2020

Fingeraftryk

Robots
Autonomous underwater vehicles
Beverages
Students
Water

Citer dette

Palinko, O., Fischer, K., Ramírez, E. R., Damsgaard Nissen, L., & Langedijk, R. M. (Accepteret/In press). A Drink-Serving Mobile Social Robot Selects who to Interact with Using Gaze. I Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction Association for Computing Machinery.
Palinko, Oskar ; Fischer, Kerstin ; Ramírez, Eduardo Ruiz ; Damsgaard Nissen, Lotte ; Langedijk, Rosalyn M. / A Drink-Serving Mobile Social Robot Selects who to Interact with Using Gaze. Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery, 2020.
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Palinko, O, Fischer, K, Ramírez, ER, Damsgaard Nissen, L & Langedijk, RM 2020, A Drink-Serving Mobile Social Robot Selects who to Interact with Using Gaze. i Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery.

A Drink-Serving Mobile Social Robot Selects who to Interact with Using Gaze. / Palinko, Oskar; Fischer, Kerstin; Ramírez, Eduardo Ruiz; Damsgaard Nissen, Lotte; Langedijk, Rosalyn M.

Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery, 2020.

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

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AB - 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”.

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Palinko O, Fischer K, Ramírez ER, Damsgaard Nissen L, Langedijk RM. A Drink-Serving Mobile Social Robot Selects who to Interact with Using Gaze. I Proceedings of the Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. Association for Computing Machinery. 2020