A picture of a dolphin video game for stroke rehabilitation.

User-Centered Design

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Malone researchers apply cutting edge design and evaluation methodologies to create tools that address the needs of end-user while accounting for the unique aspects of the problem space. Research in this thrust focuses on the development of fundamental principles and design guidelines for future end-user technologies, including mobile, web, household, rehabilitation, and robotic technologies.

Researchers

Omar Ahmad

Director of Innovative Engineering, Department of Neurology

Jeremy D. Brown

John C. Malone Assistant Professor of Mechanical Engineering

Ayse P. Gurses

Director, Armstrong Institute Center for Health Care Human Factors

Chien-Ming Huang

John C. Malone Assistant Professor of Computer Science

John Krakauer

John C. Malone Professor of Neurology, Neuroscience, & Physical Medicine and Rehabilitation

Kathryn McDonald

Bloomberg Distinguished Professor of Health Systems, Quality, and Safety

Related Projects

“Bandit the Dolphin” for Aging Adults

Researchers from the Kata Design Studio, in collaboration with clinicians from the Johns Hopkins Department of Neurology, are developing an immersive, interactive 3-D game called “Bandit the Dolphin.” The game is a fun, safe training tool that can help aging adults maintain or...

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Hand Dexterity Rehabilitation

Recent studies show that hand dexterity and strength recover mostly within the first three months after stroke, and that these two critical components of hand function are supported by separate biological systems. However, in most stroke patients, dexterous hand function does not fully recover with the standard rehabilitation therapy. These...

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Human-Machine Teaming for Medical Decision Making

Machine intelligence presents opportunities to increase human work productivity and quality. The team will investigate effective teaming between humans and intelligent machines, similar to effective human-human teamwork, with a special focus on how human-machine teaming can be applied to medical decision making. Awarded by NSF’s “Future of Work at the Human...

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Socially-Assistive Robots

We build intuitive, interactive technologies to provide social, physical, and behavioral support for people. We investigate how these technologies can help aging adults and special needs populations, such as children with autism spectrum disorders....

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