For people, being touched can initiate many different
reactions from comfort to discomfort, from intimacy to aggression. But how
might people react if they were touched by a robot? Would they recoil, or would
they take it in stride? In an initial study, researchers at the Georgia
Institute of Technology found people generally had a positive response toward
being touched by a robotic nurse, but that their perception of the robot’s
intent made a significant difference. The research is being presented today at
the Human-Robot Interaction conference in Lausanne, Switzerland.
“What we found was that how people perceived the intent of the
robot was really important to how they responded. So, even though the robot
touched people in the same way, if people thought the robot was doing that to
clean them, versus doing that to comfort them, it made a significant difference
in the way they responded and whether they found that contact favorable or
not,” said Charlie Kemp, assistant professor in the Wallace H. Coulter
Department of Biomedical Engineering at Georgia Tech and Emory University.
In the study, researchers looked at how people responded when
a robotic nurse, known as Cody, touched and wiped a person’s forearm. Although
Cody touched the subjects
in exactly the same way, they reacted more positively when they believed Cody
intended to clean their arm versus when they believed Cody intended to comfort
them.
These results echo similar studies done with nurses.
“There have been studies of nurses and they’ve looked at how
people respond to physical contact with nurses,” said Kemp, who is also an
adjunct professor in Georgia Tech’s College of Computing. “And they found that,
in general, if people interpreted the touch of the nurse as being instrumental,
as being important to the task, then people were OK with it. But if people
interpreted the touch as being to provide comfort … people were not so
comfortable with that.”
In addition, Kemp and his research team tested whether people
responded more favorably when the robot verbally indicated that it was about to
touch them versus touching them without saying anything beforehand.
“The results suggest that people preferred when the robot did
not actually give them the warning,” said Tiffany Chen, doctoral student at
Georgia Tech. “We think this might be because they were startled when the robot
started speaking, but the results are generally inconclusive.
Since many useful tasks require that a robot touch a person,
the team believes that future research should investigate ways to make robot
touch more acceptable to people, especially in healthcare. Many important
healthcare tasks, such as wound dressing and assisting with hygiene, would
require a robotic nurse to touch the patient's body,
“If we want robots to be successful in healthcare, we’re going
to need to think about how do we make those robots communicate their intention
and how do people interpret the intentions of the robot,” added Kemp. “And I
think people haven’t been as focused on that until now. Primarily people have
been focused on how can we make the robot safe, how can we make it do its task
effectively. But that’s not going to be enough if we actually want these robots
out there helping people in the real world.”
In addition to Kemp and Chen, the research group consists of
Andrea Thomaz, assistant professor in Georgia Tech’s College of Computing, and
postdoctoral fellow Chih-Hung Aaron King.
Media Contact
Georgia Tech Media Relations
Laura Diamond
laura.diamond@comm.gatech.edu
404-894-6016
Jason Maderer
maderer@gatech.edu
404-660-2926
Keywords
Latest BME News
The 2007 BME alum will lead efforts to bring medical technologies to market.
BME graduate leveraging Coulter experience to bridge continents and inspire students
Seven other Faculty Members from Coulter Department Named to Fall 2024 Honor Roll
Researcher Michaël Girard delivers eye-popping presentation at BME Seminar Series
Anant Madabhushi part of Emory team awarded up to $17.6 million to innovate surgery, improve outcomes
BME researchers combine precision and simplicity in transforming diagnostic tools.
Researchers demonstrate stem cell treatment without chemotherapy and painful bone marrow procedure
BME researchers explore the critical role of mechanical force in rare genetic disorder