Evaluation by Expert Dancers of a Robot That Performs Partnered Stepping via Haptic Interaction

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.

[1]  S L Delp,et al.  Characteristics associated with improved knee extension after strength training for individuals with cerebral palsy and crouch gait. , 2012, Journal of pediatric rehabilitation medicine.

[2]  Roderick Murray-Smith,et al.  Haptic dancing: human performance at haptic decoding with a vocabulary , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[3]  Gammon M Earhart,et al.  Effects of dance on movement control in Parkinson's disease: a comparison of Argentine tango and American ballroom. , 2009, Journal of rehabilitation medicine.

[4]  Marco Roccetti,et al.  New Frontiers for Entertainment Computing - IFIP 20th World Computer Congress, First IFIP Entertainment Computing Symposium, ECS 2008, September 7-10, 2008, Milano, Italy , 2008, ECS.

[5]  Juan Fasola,et al.  A socially assistive robot exercise coach for the elderly , 2013, J. Hum. Robot Interact..

[6]  Kentarou Kurashige,et al.  Self-Generation of Reward by Moderate-Based Index for Senor Inputsvspace , 2015, J. Robotics Mechatronics.

[7]  Kazuhiro Kosuge,et al.  Dance partner robot cooperative motion generation with adjustable length of dance step stride based on physical interaction , 2007, 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Samir Kouro,et al.  Unidimensional Modulation Technique for Cascaded Multilevel Converters , 2009, IEEE Transactions on Industrial Electronics.

[9]  Eric Feron,et al.  Musicality experiments in lead and follow dance , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[10]  Donna Krasnow,et al.  Development of the "performance competence evaluation measure": assessing qualitative aspects of dance performance. , 2009, Journal of dance medicine & science : official publication of the International Association for Dance Medicine & Science.

[11]  B. Brewer,et al.  Poststroke Upper Extremity Rehabilitation: A Review of Robotic Systems and Clinical Results , 2007, Topics in stroke rehabilitation.

[12]  Thomas B. Sheridan,et al.  Human–Robot Interaction , 2016, Hum. Factors.

[13]  Homayoon Kazerooni,et al.  Human-robot interaction via the transfer of power and information signals , 1990, IEEE Trans. Syst. Man Cybern..

[14]  Katherine M Steele,et al.  Can Strength Training Predictably Improve Gait Kinematics? A Pilot Study on the Effects of Hip and Knee Extensor Strengthening on Lower-Extremity Alignment in Cerebral Palsy , 2010, Physical Therapy.

[15]  Allison M. Okamura,et al.  Haptic Virtual Fixtures for Robot-Assisted Manipulation , 2005, ISRR.

[16]  Steven J Chatfield,et al.  A Test for Evaluating Proficiency in Dance , 2009, Journal of dance medicine & science : official publication of the International Association for Dance Medicine & Science.

[17]  Madeleine. E. Hackney,et al.  Effects of Dance on Gait and Balance in Parkinson’s Disease: A Comparison of Partnered and Nonpartnered Dance Movement , 2010, Neurorehabilitation and neural repair.

[18]  J. Hidler,et al.  Multicenter Randomized Clinical Trial Evaluating the Effectiveness of the Lokomat in Subacute Stroke , 2009, Neurorehabilitation and neural repair.

[19]  N. Hogan,et al.  Robotic therapy for chronic motor impairments after stroke: Follow-up results. , 2004, Archives of physical medicine and rehabilitation.

[20]  Andy P. Field,et al.  Discovering Statistics Using SPSS , 2000 .

[21]  S. Delp,et al.  Patellar tilt correlates with vastus lateralis: Vastus medialis activation ratio in maltracking patellofemoral pain patients , 2012, Journal of orthopaedic research : official publication of the Orthopaedic Research Society.

[22]  Tomomasa Sato,et al.  Analysis of Impression of Robot Bodily Expression , 2002, J. Robotics Mechatronics.

[23]  S. Studenski,et al.  Physical Performance Measures in the Clinical Setting , 2003, Journal of the American Geriatrics Society.

[24]  Sommer Elizabeth Gentry,et al.  Dancing cheek to cheek: Haptic communication between partner dancers and swing as a flnite state machine , 2005 .

[25]  Marek P. Michalowski,et al.  A dancing robot for rhythmic social interaction , 2007, 2007 2nd ACM/IEEE International Conference on Human-Robot Interaction (HRI).

[26]  M. Buss,et al.  A New Admittance-Type Haptic Interface for Bimanual Manipulations , 2008, IEEE/ASME Transactions on Mechatronics.

[27]  François Keith,et al.  Human-humanoid haptic joint object transportation case study , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[28]  Janice I. Glasgow,et al.  Assessment of Upper-Limb Sensorimotor Function of Subacute Stroke Patients Using Visually Guided Reaching , 2010, Neurorehabilitation and neural repair.

[29]  John J. Leonard,et al.  Sensor fusion for flexible human-portable building-scale mapping , 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[30]  A. Berthoz,et al.  Timing and distance characteristics of interpersonal coordination during locomotion , 2005, Neuroscience Letters.

[31]  Yiannis Demiris,et al.  Adaptive human-robot interaction in sensorimotor task instruction: From human to robot dance tutors , 2014, Robotics Auton. Syst..

[32]  E. Dantas,et al.  The effect of ballroom dance on balance and functional autonomy among the isolated elderly. , 2012, Archives of gerontology and geriatrics.

[33]  Kevin Cleary,et al.  Closed-Loop Force Control for Haptic Simulation of Virtual Environments , 2000 .

[34]  Tiffany L. Chen,et al.  A Direct Physical Interface for Navigation and Positioning of a Robotic Nursing Assistant , 2011, Adv. Robotics.

[35]  David Eichelberger,et al.  Handbook Of Psychological Testing , 2016 .

[36]  Kazuhiro Kosuge,et al.  Dance Step Estimation Method Based on HMM for Dance Partner Robot , 2007, IEEE Transactions on Industrial Electronics.

[37]  Ryohei Nakatsu,et al.  Construction and Evaluation of a Robot Dance System , 2008, KES.

[38]  Atsushi Nakazawa,et al.  Task model of lower body motion for a biped humanoid robot to imitate human dances , 2005, 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[39]  M. Tavakol,et al.  Making sense of Cronbach's alpha , 2011, International journal of medical education.

[40]  A. Meystel,et al.  Intelligent Systems , 2001 .

[41]  Kazuhiro Kosuge,et al.  Control of a Robot Dancer for Enhancing Haptic Human-Robot Interaction in Waltz , 2012, IEEE Transactions on Haptics.

[42]  Martin Buss,et al.  Synthesis of an interactive haptic dancing partner , 2010, 19th International Symposium in Robot and Human Interactive Communication.

[43]  François Keith,et al.  Proactive behavior of a humanoid robot in a haptic transportation task with a human partner , 2012, 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication.

[44]  Kazuhiro Kosuge,et al.  Cheek to Chip: Dancing Robots and AI's Future , 2008, IEEE Intelligent Systems.