AI Prosthetic Arm Study Finds One-Second Movement Speed Feels Most Natural to Users

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Researchers used virtual reality to discover that AI-powered prosthetic arms feel most like part of the body when they move at a moderate pace of about one second. The study tested six different speeds and found that both overly fast and slow movements reduced body ownership and usability, revealing critical design insights for future autonomous prosthetics.

Movement Speed Determines How Natural AI Prosthetic Arms Feel

A breakthrough virtual reality study has revealed the exact timing that makes an AI prosthetic arm feel like part of the body. Researchers found that when prosthetic limbs move at a moderate pace with a movement duration of about one second, users report the strongest sense of body ownership and usability

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. The findings challenge the assumption that faster always means better in prosthetic design, showing instead that natural movement timing is essential for user acceptance.

Harin Manujaya Hapuarachchi and colleagues at Toyohashi University of Technology conducted the research, which appears in Scientific Reports

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. Hapuarachchi, who was a doctoral student during the study and is now an Assistant Professor in the School of Informatics at Kochi University of Technology, led the investigation into how movement speed affects sense of embodiment when AI-powered prosthetic arms operate autonomously

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Virtual Reality Study Tests Six Movement Speeds

The research team used virtual reality to create a controlled environment where participants saw an avatar whose left forearm had been replaced with a robotic prosthetic limb. Participants performed reaching tasks while the virtual prosthetic arm autonomously flexed toward a target. The researchers systematically varied movement duration across six levels, ranging from 125 milliseconds to 4 seconds

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Source: Tech Xplore

Source: Tech Xplore

After each trial, participants evaluated multiple dimensions including body ownership, sense of agency, usability using the System Usability Scale (SUS), and social impressions of the robot measured through the RoSAS scale, which assessed competence, warmth, and discomfort

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. The results revealed a clear pattern that has significant implications for designing future autonomous prosthetics.

Optimal Speed Matches Natural Human Reaching

At the moderate speed of one-second movement duration, body ownership, sense of agency, and usability ratings were highest. In contrast, both the fastest condition at 125 milliseconds and the slowest at 4 seconds produced significantly lower scores across these measures

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. Perceived competence was higher at moderate to slightly faster speeds, while discomfort peaked in the fastest condition. Warmth ratings showed no clear dependence on movement speed

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The findings indicate that human-compatible timing, rather than raw speed, should be the priority when designing AI-enabled prostheses that provide autonomous assistance. When prosthetic arms move too quickly or too slowly relative to natural human rhythm, users feel less connected to the device and rate it as less usable

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From Biosignals to Autonomous AI Systems

Traditional prosthetics research has focused on control methods that enable devices to respond accurately to user intentions, often by detecting biosignals such as electromyography (EMG) and electroencephalography (EEG)

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. However, advances in machine learning and AI are making it increasingly realistic that future prostheses will assess situations and provide assistance through autonomous or semi-autonomous movements.

This shift presents a psychological challenge. When a body part moves independently of one's will, people typically experience it as unsettling or "not part of my body," creating a major barrier to acceptance

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. Prior research has suggested that discomfort can be reduced when the movement's goal is understandable, but this study demonstrates that timing plays an equally critical role.

Implications for Robotic Body Augmentation

The insights extend beyond prosthetic arms to inform other forms of robotic body augmentation. Technologies such as supernumerary robotic limbs, exoskeletons, and wearable robots that operate as functional extensions of the body could all benefit from movement patterns that mirror natural human rhythm

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. Designers may need to tune these systems so they align with what the brain expects from natural limbs, prioritizing embodiment over pure performance metrics.

Looking ahead, the research team plans to explore how long-term use changes perception. People often begin to experience frequently used tools as if they were part of their body, a phenomenon that could alter acceptance thresholds. With continued daily use, even a fast and highly capable robotic limb may start to feel normal, easier to operate, and more fully embodied

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Virtual reality plays a crucial role in this research by allowing scientists to test emerging prosthetic technologies and control schemes in safe, controlled settings before they become widely available. This approach enables evaluation of psychological responses, user acceptance, and design requirements early in development, potentially accelerating the path to prosthetics that feel genuinely natural to their users

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