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Exploring the Use of Smell in Social Interaction via Robot Avatars

Harufumi Nakashima, Dražen Brščić, Takayuki Kanda

Year
2025
Citations
1

Abstract

This study investigated the integration of smell detection, storage, and reproduction capabilities in robot avatars, examining how these functions impact interactions between a remote operator and a co-present partner. We developed a robot avatar system equipped with olfactory technology, using a combination of actual hardware and Wizard-of-Oz techniques. In an experimental setting, participants engaged in a task that involved spontaneous discussions about smells. Our findings show that the inclusion of olfactory functionality not only affected the dynamics of interaction but also enhanced the perceived quality of the experience for both the operator and the partner.

Keywords

Computer scienceHuman–computer interactionRobotSocial robotComputer visionArtificial intelligenceMobile robotRobot control

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