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Hidenobu Sumioka

10 accepted papers

2026

Implementation and Evaluation of Intra-Hug Gestures During Dialogue for a Huggable Robot

RA-L 2026

Hugging provides psychological benefits and is common in supportive dialogue, leading to probabilistic models for a robot's intra-hug gestures (e.g., patting, rubbing). However, the psychological effects of this human-derived model have not been adequately verified. In this study, we aimed to clarif

Cited by 0SourceScholar
2026

Neural Profiling with fNIRS of Operator Performance in Teleoperated Human-Like Social Robot Interactions

ICRA 2026poster

Social robot teleoperation is a skill that must be acquired through practice with the social robot. Mobile neuroimaging and human-computer interface performance metrics permit the gathering of information from the operators' systemic and behavioral responses associated with their skill acquisition. …

Cited by 0SourceScholar
2025

Modeling and Implementation of Intra-Hug Gestures During Dialogue for a Huggable Robot

RA-L 2025

The potential of social touch, a behavior that uses physical embodiment, has been actively studied for adaptation to social robots because of both physical and mental benefits. Social touch from robots, including hugs, reports positive effects similar to human-human interaction. Huggable robots have

Cited by 3SourceScholar
2025

Neural Profiling With fNIRS of Operator Performance in Teleoperated Human-Like Social Robot Interactions

RA-L 2025

Social robot teleoperation is a skill that must be acquired through practice with the social robot. Mobile neuroimaging and human-computer interface performance metrics permit the gathering of information from the operators' systemic and behavioral responses associated with their skill acquisition.

Cited by 0SourceScholar
2021

A Robot That Encourages Self-Disclosure to Reduce Anger Mood

RA-L 2021

One essential role of social robots is supporting human mental health by interaction with people. In this study, we focused on making people's moods more positive through conversations about their problems as our first step to achieving a robot that cares about mental health. We employed the column

Cited by 34SourceScholar
2021

Wearable Tactile Sensor Suit for Natural Body Dynamics Extraction: Case Study on Posture Prediction Based on Physical Reservoir Computing

IROS 2021poster

We propose a wearable tactile sensor suit, which can be regarded as tactile sensor networks, for monitoring natural body dynamics to be exploited as a computational resource for estimating the posture of a human or robot that wears it. We emulated the periodic motions of a wearer (a human and an and…

Cited by 8SourceScholar
2019

Decoding the Perceived Difficulty of Communicated Contents by Older People: Toward Conversational Robot-Assistive Elderly Care

RA-L 2019

In this study, we propose a semi-supervised learning model for decoding of the perceived difficulty of communicated content by older people. Our model is based on mapping of the older people's prefrontal cortex (PFC) activity during their verbal communication onto fine-grained cluster spaces of a wo

Cited by 4SourceScholar
2019

Older People Prefrontal Cortex Activation Estimates Their Perceived Difficulty of a Humanoid-Mediated Conversation

RA-L 2019

In this letter, we extend our recent results on prediction of the older people's perceived difficulty of verbal communication during a humanoid-mediated storytelling experiment to the case of a longitudinal conversation that was conducted over a four-week period and included a battery of conversatio

Cited by 4SourceScholar
2018

Classification of EEG signals for a hypnotrack BCI system

IROS 2018poster

People's responses to a hypnosis intervention is diverse and unpredictable. A system that predicts user's level of susceptibility from their electroencephalography (EEG) signals can be helpful in clinical hypnotherapy sessions. In this paper, we extracted differential entropy (DE) of the recorded EE…

Cited by 6SourceScholar
2018

Similarity of the Impact of Humanoid and In-Person Communications on Frontal Brain Activity of Older People

IROS 2018poster

We report results of the analyses of the effect of communication through a humanoid robot in comparison with in-person, video-chat, and speaker on frontal brain activity of older people during an storytelling experiment. Our results suggest that whereas communicating through a physically embodied me…

Cited by 6SourceScholar