title: Adaptive strategy for multi-user robotic rehabilitation games.
abstract: In this paper, we discuss a strategy for the adaptation of the "difficulty level" in games intended to include motor planning during robotic rehabilitation. We consider concurrently the motivation of the user and his/her performance in a Pong game. User motivation is classified in three levels (not motivated, well motivated and overloaded). User performance is measured as a combination of knowledge of results--achieved goals and score points in the game--and knowledge of performance--joint displacement, speed, aiming, user work, etc. Initial results of a pilot test with unimpaired healthy young volunteers are also presented showing a tendency for individualization of the parameter values.
authors.affiliation: Massachusetts Institute of Technology, Mechanical Engineering Department, Cambridge, MA 02139, USA.
authors.forename: Glauco A P
authors.initials: GA
authors.lastname: Caurin
authors.forename: Adriano A G
authors.initials: AA
authors.lastname: Siqueira
authors.forename: Kleber O
authors.initials: KO
authors.lastname: Andrade
authors.forename: Ricardo C
authors.initials: RC
authors.lastname: Joaquim
authors.forename: Hermano I
authors.initials: HI
authors.lastname: Krebs
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D005716:Game Theory; D006801:Humans; D026741:Physical Therapy Modalities; D012201:Reward; D012371:Robotics / Q000379:methods*; D013813:Therapy, Computer-Assisted / Q000379:methods*; D018910:Video Games