TY - GEN
T1 - Using AI-Enhanced Social Robots to Improve Children’s Healthcare Experiences
AU - Foster, Mary Ellen
AU - Ali, Samina
AU - Litwin, Sasha
AU - Parker, Jennifer
AU - Petrick, Ronald P. A.
AU - Smith, David Harris
AU - Stinson, Jennifer
AU - Zeller, Frauke
PY - 2020/11/6
Y1 - 2020/11/6
N2 - This paper describes a new research project that aims to develop an autonomous and responsive social robot designed to help children cope with painful procedures in hospital emergency departments. While this is an application domain where psychological interventions have been previously demonstrated to be effective at reducing pain and distress using a variety of devices and techniques, in recent years, social robots have been trialled in this area with promising initial results. However, until now, the social robots that have been tested have generally been teleoperated, which has limited their flexibility and robustness, as well as the potential to offer personalized, adaptive procedural support. Using co-design techniques, this project plans to define and validate the necessary robot behaviour together with participant groups that include children, parents and caregivers, and healthcare professionals. Identified behaviours will be deployed on a robot platform, incorporating AI reasoning techniques that will enable the robot to adapt autonomously to the child’s behaviour. The final robot system will be evaluated through a two-site clinical trial. Throughout the project, we will also monitor and analyse the ethical and social implications of robotics and AI in paediatric healthcare.
AB - This paper describes a new research project that aims to develop an autonomous and responsive social robot designed to help children cope with painful procedures in hospital emergency departments. While this is an application domain where psychological interventions have been previously demonstrated to be effective at reducing pain and distress using a variety of devices and techniques, in recent years, social robots have been trialled in this area with promising initial results. However, until now, the social robots that have been tested have generally been teleoperated, which has limited their flexibility and robustness, as well as the potential to offer personalized, adaptive procedural support. Using co-design techniques, this project plans to define and validate the necessary robot behaviour together with participant groups that include children, parents and caregivers, and healthcare professionals. Identified behaviours will be deployed on a robot platform, incorporating AI reasoning techniques that will enable the robot to adapt autonomously to the child’s behaviour. The final robot system will be evaluated through a two-site clinical trial. Throughout the project, we will also monitor and analyse the ethical and social implications of robotics and AI in paediatric healthcare.
KW - Child-robot interaction
KW - Socially assistive robotics
UR - http://www.scopus.com/inward/record.url?scp=85097127773&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-62056-1_45
DO - 10.1007/978-3-030-62056-1_45
M3 - Conference contribution
AN - SCOPUS:85097127773
SN - 9783030620554
T3 - Lecture Notes in Computer Science
SP - 542
EP - 553
BT - Social Robotics. ICSR 2020
A2 - Wagner, Alan R.
A2 - Feil-Seifer, David
A2 - Haring, Kerstin S.
A2 - Rossi, Silvia
A2 - Williams, Thomas
A2 - He, Hongsheng
A2 - Sam Ge, Shuzhi
PB - Springer
T2 - 12th International Conference on Social Robotics 2020
Y2 - 14 November 2020 through 18 November 2020
ER -