What is it about?

Light hand contact has great potential but has been rarely studied for the purpose of influencing walking. We conducted experiments where people walked while holding the handles of a robotic device that made short, light pulse movements. We hypothesized that these hand movements would communicate information that influences people to systematically change their own walking. We found that people changed their walking coordination as intended by the robot motions only when they were expecting walking cues from the robot, and the forces from the robot were too low to directly propel walking. When they did not expect relevant information from the robot, people intuitively controlled their arms to reject robot motions. These results suggest that people voluntarily changed their walking based on information from the robot conveyed through hand interactions.

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Why is it important?

By influencing human walking, light hand contact has the potential to improve safety, efficacy, and convenience of walking aids - such as robotic walkers - and other robotic devices to help people perform collaborative tasks - such as in manufacturing. To develop hand-contact robotic devices for walking that are both effective and easy to use, we must understand how people respond to the hand contact intuitively, without instructions or training. Our study is the first to demonstrate that light hand contact from a robotic device can be used to systematically influence human walking. The experimental approach and tests we developed allow us to study the communication of information through physical contact separate from the primary physical task of walking. Our results suggest design principles for a new type of robotic walking aid to influence human movement through informational cues.

Perspectives

We were inspired by how people communicate cues about walking through light hand contact during partner dancing. This study is our first attempt to apply these types of cues to a robotic device to systematically change human walking coordination.

Mengnan Wu

Read the Original

This page is a summary of: Low-Force Physical Human-Robot Interaction at the Hands Influence Changes to Gait Coordination Through Sensorimotor Engagement Instead of Direct Gait Propulsion, ACM Transactions on Human-Robot Interaction, March 2025, ACM (Association for Computing Machinery),
DOI: 10.1145/3722124.
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