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Harufumi Nakashima

dblp:362/2698 · DBLP profile ↗
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2ranked-venue papers
2as first author
2since 2021 · last 2025
0009-0009-3946-2847ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 2 since 2021Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Haptics and multimodal interaction · 77% Human-robot interaction · 23%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Haptics and multimodal interaction
multimodal interaction
0.912025
Exploring the Use of Smell in Social Interaction via Robot Avatars · HRI 2025
Haptics and multimodal interaction › multimodal interaction
olfactory interaction
0.912025
Exploring the Use of Smell in Social Interaction via Robot Avatars · HRI 2025
Human-robot interaction
remote interaction
0.312025
Exploring the Use of Smell in Social Interaction via Robot Avatars · HRI 2025
Human-robot interaction › telepresence robot
robotic avatar
0.312025
Exploring the Use of Smell in Social Interaction via Robot Avatars · HRI 2025

Methods — techniques the papers use, named apart from their topics

wizard-of-oz · 0.9user study · 0.9
YearPublicationVenuePosition
2025 Exploring the Use of Smell in Social Interaction via Robot Avatars
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.
Harufumi Nakashima, Drazen Brscic, Takayuki Kanda 0001
HRI1
2023 Expanding the Senses: Considering the Use of Active Smell Delivery for Human-Robot Interactions
abstract
We considered the robot’s use of smells as a nonverbal way of interacting with people. In particular, we were interested in active smell delivery, which involves delivering scents to specific locations and at precise moments. Since smell is still largely unexplored as an interaction modality for human-robot interactions, many aspects are unknown. To address this gap, through exploratory studies we identified the important factors of mounting positions as well as timing and movement coordination, which need to be considered for the successful integration of active smell delivery on robots.
Harufumi Nakashima, Drazen Brscic, Takayuki Kanda 0001
HAI1