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Investigating the Integration of Human-Like and Machine-Like Robot Behaviors in a Shared Elevator Scenario

Danilo Gallo, Prescillia Leslie Bioche, Jutta Willamowski, Tommaso Colombino, Shreepriya Gonzalez-Jimenez, Hervé Poirier, Cécile Boulard

Year
2023
Citations
14

Abstract

This paper examines the advantages and disadvantages of combining Human-Like and Machine-Like behaviors for a robot taking a shared elevator with a bystander as part of an office delivery service scenario. We present findings of an in-person wizard-of-oz experiment that builds on and implements behavior policies developed in a previous study. In this experiment, we found that the combination of Machine-Like and Human-Like behaviors was perceived as better than Human-Like behaviors alone. We discuss possible reasons and point to key capabilities that a socially competent robot should have to achieve better Human-Like behaviors in order to seamlessly negotiate a social encounter with bystanders in a shared elevator or similar scenario. We found that establishing and maintaining a shared transactional space is one of these key requirements.

Keywords

Computer scienceRobotHuman–computer interactionElevatorHuman–robot interactionWizard of ozNegotiationKey (lock)Service (business)Transactional leadership

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