Exploring the Use of Smell in Social Interaction via Robot Avatars

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.

Authors

Institutions

Publication Details

Published
2025-03-04
DOI
https://doi.org/10.1109/hri61500.2025.10974073
Primary Topic
Social Robot Interaction and HRI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Exploring the Use of Smell in Social Interaction via Robot Avatars

Dražen Brščić, Takayuki Kanda, Harufumi Nakashima
Social Robot Interaction and HRI
article

Exploring the Use of Smell in Social Interaction via Robot Avatars

Dražen Brščić, Takayuki Kanda, Harufumi Nakashima
article en

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.

Kyoto University (JP)
Reduced inequalities
Openalex Percentile: Top 89%
Social Robot Interaction and HRI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Exploring the Use of Smell in Social Interaction via Robot Avatars — Dražen Brščić, Takayuki Kanda, et al. · (2025) | TGRS Research Map | TGRS