Tele-sense

DURATION

2023.09 ~ Present
2 years 4 months
(ongoing)

KEY WORDS

HRI
Telehpatic

Contribution

Team Leader
Haptic System Design
Robot Engineering

Tele-operated avatar robots serve as a physical extension of the operator, facilitating active and meaningful communication with local users. Recognizing that non-verbal cues are critical for shaping user experience, our system is engineered to deliver rich expressive behaviors. It integrates HMD-based eye tracking to map the operator’s dynamic gaze in real-time, a tele-haptics interface specialized for social touch, and an AI-driven voice modulation system to maintain a consistent character persona. By synchronizing these multimodal signals, the system significantly enhances the naturalness of the interaction, thereby increasing user immersion and engagement.

Indendent Research

|

2023.09 - Present

Outcome

Achievement

[Paper] Hoseok Jung, et al. 2026. Affective Robotic Avatar: Enhancing Social Telepresence via Haptics and Expressive Cues. In Proceedings of HCI International 2026 (HCII ‘26). (Invited Full Paper, Session: Frontiers of HCI in XR)

Background

With the increasing adoption of robotic

technologies in healthcare, interest has grown in leveraging robots to support pediatric patients

through rehabilitation and emotional interaction.

Problem

However, most existing teleoperated robots remain focused on simple, conversation-based interactions, with limited research on more complex tasks such as grasping or object handover.

Solution

This project aims to develop a tele-haptic robot system that enables rich and diverse remote interactions between medical professionals and pediatric patients.

Service Application Design: Empathic Remote Avatar Robot for Non-verbal Connection and Social Touch

We developed avatar robot to build an emotional bond between counselors and clients beyond physical separation. The system resolves the lack of non-verbal cues—a common limitation in robotic counseling—by mirroring the operator's fine head movements and gaze, and by executing 'social touches' like handshakes or patting appropriate to the situation. This allows clients to engage in counseling without feeling a sense of incongruity, enabling a deeply empathetic interaction.

Key Interaction

Improve Nonverbal Communication

Paralinguistic
Voice Expression

Eye Gaze

Interaction

Embodied

Gesture Movement

Tele-haptic
Social Touch

Key Features

Paralinguistic Voice Expression

In interactions with a teleoperated robot, we considered that users are not engaging with a human operator, but with a robot character.

Therefore, the operator’s voice is not transmitted as-is; instead, it is transformed to create the experience of the robot character speaking directly.

Eye Gaze Interaction

The remote operator’s gaze was directly mapped onto the robot’s eyes.
As a result, the robot’s eye movements reflect the operator’s real-time visual attention, enabling natural and expressive non-verbal interaction.

Embodied Gesture Movement

The robot’s upper-body movements are controlled through the user’s physical motions, using inverse kinematics and hand tracking.
Both the neck and arms are mapped to the user’s movements, allowing the robot to mirror the operator’s upper-body behavior in real time.

Tele-haptic Social Touch

We configured a tele-haptic system by integrating a robot gripper with a fingertip haptic interface to deliver the sensation of physical contact, such as handmassage or patting. Beyond simple manipulation, this setup allows operators to physically perceive the grasping force during interaction, enabling authentic tactile communication and emotional connection through the robot.

Playful Haptic Interaction: Improving Robot Acceptance via Massage

We explore the potential effects of robot-mediated physical massage on users’ psychological barriers, approaching this study with the assumption that such tendencies may emerge. Specifically, we hypothesize that the experience may be perceived as a “fun and unique experience,” fostering a state of positive arousal that could create a more welcoming interaction atmosphere. This, in turn, is expected to enhance conversational engagement and facilitate more rapid rapport building with the robot.

Role and Responsibility

Hoseok Jung (Research Scientist, SCIGC): Team Leader & Robot Engineering.

Jiyoon Lee (Visual Communication Design, Hongik Univ.): Software Engineering.

Sungmo Lee (Mechanical System Design Eng., Hongik Univ.): Mechanical Design.

Boyoung Kim (Research Professor, George Mason Univ.) User Study Design.
Okkeun Lee (Postdoc, Civil & Environmental Eng., Stanford Univ.): System Evaluation.

© 2026 Hoseok Jung. All Rights Reserved.