title: Evaluation by Expert Dancers of a Robot That Performs Partnered Stepping via Haptic Interaction.
abstract: Our long-term goal is to enable a robot to engage in partner dance for use in rehabilitation therapy, assessment, diagnosis, and scientific investigations of two-person whole-body motor coordination. Partner dance has been shown to improve balance and gait in people with Parkinson's disease and in older adults, which motivates our work. During partner dance, dance couples rely heavily on haptic interaction to convey motor intent such as speed and direction. In this paper, we investigate the potential for a wheeled mobile robot with a human-like upper-body to perform partnered stepping with people based on the forces applied to its end effectors. Blindfolded expert dancers (N=10) performed a forward/backward walking step to a recorded drum beat while holding the robot's end effectors. We varied the admittance gain of the robot's mobile base controller and the stiffness of the robot's arms. The robot followed the participants with low lag (M=224, SD=194 ms) across all trials. High admittance gain and high arm stiffness conditions resulted in significantly improved performance with respect to subjective and objective measures. Biomechanical measures such as the human hand to human sternum distance, center-of-mass of leader to center-of-mass of follower (CoM-CoM) distance, and interaction forces correlated with the expert dancers' subjective ratings of their interactions with the robot, which were internally consistent (Cronbach's α=0.92). In response to a final questionnaire, 1/10 expert dancers strongly agreed, 5/10 agreed, and 1/10 disagreed with the statement "The robot was a good follower." 2/10 strongly agreed, 3/10 agreed, and 2/10 disagreed with the statement "The robot was fun to dance with." The remaining participants were neutral with respect to these two questions.
authors.affiliation: Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
authors.forename: Tiffany L
authors.initials: TL
authors.lastname: Chen
authors.affiliation: Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
authors.forename: Tapomayukh
authors.initials: T
authors.lastname: Bhattacharjee
authors.affiliation: Department of Biomedical Engineering, Emory University School of Medicine, Atlanta, GA, USA.
authors.forename: J Lucas
authors.initials: JL
authors.lastname: McKay
authors.affiliation: Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
authors.forename: Jacquelyn E
authors.initials: JE
authors.lastname: Borinski
authors.affiliation: Department of Medicine, Emory University School of Medicine, Atlanta, GA, USA; Department of Medicine, Atlanta VA Geriatric Research Education and Clinical Center, Atlanta, GA, USA.
authors.forename: Madeleine E
authors.initials: ME
authors.lastname: Hackney
authors.affiliation: Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA; Department of Biomedical Engineering, Emory University School of Medicine, Atlanta, GA, USA.
authors.forename: Lena H
authors.initials: LH
authors.lastname: Ting
authors.affiliation: Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
authors.forename: Charles C
authors.initials: CC
authors.lastname: Kemp
mesh_terms: D000328:Adult; D001696:Biomechanical Phenomena; D003615:Dancing / Q000502:physiology*; D006801:Humans; D011597:Psychomotor Performance / Q000502:physiology*; D012371:Robotics / Q000379:methods*; D011795:Surveys and Questionnaires; D014110:Touch / Q000502:physiology*