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Socially Assistive Robotics

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Springer Handbook of Robotics

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Abstract

This chapter reviews the critical societal issues that have motivated research into socially assistive robotics (GlossaryTerm

SAR

) (Sect. 73.2) and describes the reason why physical robots rather than virtual agents are essential to this effort (Sect. 73.3). It highlights the major research issues within this area (Sects. 73.4–73.7), describes the primary application domains and populations where SAR research has shown an impact (Sects. 73.8–73.11), and closes with some of the ethical and safety issues that SAR research necessitates (Sect. 73.12).

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Abbreviations

3-D:

three-dimensional

ASD:

autism spectrum disorder

HCI:

human–computer interaction

HRI:

human–robot interaction

IMU:

inertial measurement unit

PGRL:

policy gradient reinforcement learning

SAR:

socially assistive robotics

References

  1. A. Tapus, M.J. Matarić, B. Scassellati: The grand challenges in socially assistive robotics, IEEE Robotics Autom. Mag. Spec. Issue Grand Chall. Robotics (2007)

    Google Scholar 

  2. United Nations Department of Economic and Social Affairs, Population Division (2011): World Population Aging 1950–2050, http://www.un.org/esa/population/publications/worldageing19502050/ (2013)

  3. Department of Health and Human Services, Centers for Disease Control and Prevention (2009)

    Google Scholar 

  4. American Psychiatric Association: Diagnostic and Statistical Manual of Mental Disorders: DSM-IV-TR (American Psychiatric Association, Arlington 2000)

    Google Scholar 

  5. F.R. Volkmar, C. Lord, A. Bailey, R.T. Schultz, A. Klin: Autism and pervasive developmental disorders, J. Child Psychol. Psychiatry 45(1), 135–170 (2004)

    Article  Google Scholar 

  6. S.S. Sparrow, D. Balla, D. Cicchetti: Vineland Adaptive Behavior Scales, Expanded Edition (Pearson, New York 1984)

    Google Scholar 

  7. E. Mullen: Mullen Scales of Early Learning: AGS Edition (Pearson, New York 1995)

    Google Scholar 

  8. A. Klin, J. Lang, D.V. Cicchetti, F.R. Volkmar: Brief report: Interrater reliability of clinical diagnosis and DSM-IV criteria for autistic disorder: results of the DSM-IV autism field trial, J. Autism Dev. Disord. 30(2), 163–167 (2000)

    Article  Google Scholar 

  9. B. Scassellati, H. Admoni, M. Matarić: Robots for use in autism research, Annu. Rev. Biomed. Eng. 14, 275–294 (2012)

    Article  Google Scholar 

  10. J. Kiratli: Telehealth technologies for monitoring adherence and performance of home exercise programs for persons with spinal cord injury: Tele-exercise, Exerc. Recreat. Technol. People With Disabil.: State Sci. (2006)

    Google Scholar 

  11. National Institute of Neurological Disorders and Stroke (NINDS): Post-Stroke Rehabilitation Fact Sheet, http://www.ninds.nih.gov/disorders/stroke/poststrokerehab.htm (2013)

  12. D.S. Freedman, W.H. Dietz, S.R. Srinivasan, G.S. Berenson: The relation of overweight to cardiovascular risk factors among children and adolescents: The Bogalusa Heart Study, Pediatrics 103(6), 1175–1182 (1999)

    Article  Google Scholar 

  13. G.Q. Shaibi, M.I. Goran: Examining metabolic syndrome definitions in overweight Hispanic youth: A focus on insulin resistance, J. Pediatr. 152(2), 171–176 (2008)

    Article  Google Scholar 

  14. O. Pinhas-Hamiel, P. Zeitler: Insulin resistance, obesity, and related disorders among black adolescents, J. Pediatr. 129(3), 319–320 (1996)

    Article  Google Scholar 

  15. M.L. Cruz, G.Q. Shaibi, M.J. Weigensberg, D. Spruijt-Metz, G.D. Ball, M.I. Goran: Pediatric obesity and insulin resistance: Chronic disease risk and implications for treatment and prevention beyond body weight modification, Annu. Rev. Nutr. 25, 435–468 (2005)

    Article  Google Scholar 

  16. E.E. Calle, R. Kaaks: Overweight, obesity and cancer: Epidemiological evidence and proposed mechanisms, Nat. Rev. Cancer 4(8), 579–591 (2004)

    Article  Google Scholar 

  17. A.S. Singh, C. Mulder, J.W. Twisk, W. van Mechelen, M.J. Chinapaw: Tracking of childhood overweight into adulthood: A systematic review of the literature, Obes. Rev. 9(5), 474–488 (2008)

    Article  Google Scholar 

  18. E.A. Finkelstein, J.G. Trogdon, J.W. Cohen, W. Dietz: Annual medical spending attributable to obesity: Payer- and service-specific estimates, Health Aff. 28(5), 822–831 (2009)

    Article  Google Scholar 

  19. R. Sturm: The effects of obesity, smoking, and drinking on medical problems and costs, Health Aff. 21(2), 245–253 (2002)

    Article  Google Scholar 

  20. J.P. Koplan, C.T. Liverman, V.I. Kraak: Preventing childhood obesity: Health in the balance: Executive summary, J. Am. Diet. Assoc. 105(1), 131–138 (2005)

    Article  Google Scholar 

  21. D. Spruijt-Metz: Etiology, treatment and prevention of obesity in childhood and adolescence: A decade in review, J. Res. Adolesc. 21(1), 129–152 (2011)

    Article  Google Scholar 

  22. C.D. Kidd, C. Breazeal: A Robotic Weight Loss Coach, Twenty-Second Conf.Artif. Intell. (2007)

    Google Scholar 

  23. W. Bainbridge, J. Hart, E. Kim, B. Scassellati: The effect of presence on human-robot interaction, IEEE Int. Symp. Robot Hum. Interact. Commun. (2008)

    Google Scholar 

  24. C.D. Kidd, C. Breazeal: Effect of a Robot on Engagement and User Perceptions, Proc. Intell. Robot. Syst. (IROS) (2004)

    Google Scholar 

  25. D. Leyzberg, S. Spaulding, M. Toneva, B. Scassellati: The physical presence of a robot tutor increases cognitive learning gains, Proc. 34th Annu. Conf. Cogn. Sci. Soc. (2012)

    Google Scholar 

  26. J. Wainer, D. Feil-Seifer, D. Shell, M. Matarić: Embodiment and human-robot interaction: A taskbased perspective, IEEE Int. Workshop Robot Hum. Interact. Commun. (2007)

    Google Scholar 

  27. C. Bartneck: Interacting with an embodied emotional character, Proc. 2003 Int. Conf. Des. Pleas. Prod. Interfaces (2003) pp. 55–60

    Google Scholar 

  28. Y. Jung, K.M. Lee: Effects of physical embodiment on social presence of social robots, Proc. Presence (2004) pp. 80–87

    Google Scholar 

  29. J. Wainer, D.J. Feil-Seifer, D.A. Shell, M. Matarić: The role of physical embodiment in human- robot interaction, Proc. IEEE Int. Workshop Robot Hum. Interact. Commun. (RO-MAN’06) (2006)

    Google Scholar 

  30. S. Kiesler, A. Powers, S.R. Fussell, C. Torrey: Anthropomorphic interactions with a robot and robot-like agent, Soc. Cognit. 26(2), 169–181 (2008)

    Article  Google Scholar 

  31. A. Tapus, C. Tapus, M.J. Matarić: The use of socially assistive robots in the design of intelligent cognitive therapies for people with dementia, Proc. Int. Conf. Rehabilitation Robotics (ICORR-09) (2009) pp. 924–929

    Google Scholar 

  32. J.J. Diehl, L.M. Schmitt, M. Villano, C.R. Crowell: The clinical use of robots for individuals with autism spectrum disorders: A critical review, Res. Autism Spectr. Disord. 6(1), 249–262 (2012)

    Article  Google Scholar 

  33. E. Thelen, L.B. Smith: A Dynamic Systems Approach to the Development of Cognition and Action (MIT Press, Cambridge 1994)

    Google Scholar 

  34. L.W. Barsalou: Situated simulation in the human conceptual system, Lang. Cognit. Process. 18(5/6), 513–562 (2003)

    Article  Google Scholar 

  35. C. Sann, A. Streri: Perception of object shape and texture in human newborns: Evidence from cross-modal transfer tasks, Dev. Sci. 10(3), 399–410 (2007)

    Article  Google Scholar 

  36. D.C. Richardson, R. Dale, N.Z. Kirkham: The art of conversation is coordination: Common ground and the coupling of eye movements during dialogue, Psychol. Sci. 18(5), 407–413 (2007)

    Article  Google Scholar 

  37. D.C. Richardson, N.Z. Kirkham: Multimodal events and moving locations: Eye movements of adults and 6-month-olds reveal dynamic spatial indexing, J. Exp. Psychol. Gen. 133(1), 46–62 (2004)

    Article  Google Scholar 

  38. L.B. Smith: Cognition as a dynamic system: Principles from embodiment, Dev. Rev. 25(3/4), 278–298 (2005)

    Article  Google Scholar 

  39. G. Forman: Where’s the Action in Knowing? (American Psychological Association, Worcester 1983)

    Book  Google Scholar 

  40. G. Forman, F. Hill: Constructive play in developmentally delayed preschool children, Top. Learn. Learn. Disabil. 1(1), 31–41 (1981)

    Google Scholar 

  41. C.K. Whalen, B. Henker, B.E. Collins, D. Finck, S. Dotemoto: A social ecology of hyperactive boys: Medication effects in structured classroom environments, J. Appl. Behav. Anal. 12(1), 65–81 (1979)

    Article  Google Scholar 

  42. M. Heerink, B. Kröse, V. Evers, B. Wielinga: Assessing acceptance of assistive social agent technology by older adults: The Almere Model, Int. J. Soc.Robotics 2(4), 361–375 (2010)

    Article  Google Scholar 

  43. J. Fasola, M.J. Matarić: A socially assistive robot exercise coach for the elderly, J. Human-Robot Interact. 2(2), 3–32 (2013)

    Article  Google Scholar 

  44. M. Csikszentmihalyi: Intrinsic rewards and emergent motivation. In: The Hidden Costs of Reward, ed. by M.R. Lepper, D. Greene (Erlbaum, Hillsdale 1978) pp. 205–216

    Google Scholar 

  45. R.A. Dienstbier, G.K. Leak: Effects of monetary reward on maintenance of weight loss: An extension of the overjustification effect, Am. Psychol. Assoc. Conv. (1976)

    Google Scholar 

  46. R.J. Vallerand, G. Reid: On the causal effects of perceived competence on intrinsic motivation: A test of cognitive evaluation theory, J. Sport Psychol. 6, 94–102 (1984)

    Article  Google Scholar 

  47. R.J. Vallerand: Effect of differential amounts of positive verbal feedback on the intrinsic motivation of male hockey players, J. Sport Psychol. 5, 100–107 (1983)

    Article  Google Scholar 

  48. E.L. Deci, A.J. Schwartz, L. Sheinman, R.M. Ryan: An instrument to assess adults’ orientations toward control versus autonomy with children: Reflections on intrinsic motivation and perceived competence, J. Educ. Psychol. 73, 642–650 (1981)

    Article  Google Scholar 

  49. M. Zuckerman, J. Porac, D. Lathin, R. Smith, E.L. Deci: On the importance of self-determination for intrinsically motivated behavior, Personality Soc. Psychol. Bull. 4, 443–446 (1978)

    Article  Google Scholar 

  50. C.D. Fisher: The effects of personal control, competence, and extrinsic reward systems on intrinsic motivation, Organ. Behav. Hum. Perform. 21(3), 273–288 (1978)

    Article  Google Scholar 

  51. R.B. Margolis, C.R. Mynatt: The Effects of Self and Externally Administered Reward on High Base Rate Behavior, Unpublished manuscript (Bowling Green State University, Bowling Green 1979)

    Google Scholar 

  52. F.H. Kanfer, L.G. Grimm: Freedom of choice and behavioral change, J. Consult. Clin. Psychol. 46, 873–878 (1978)

    Article  Google Scholar 

  53. G.R. Liem: Performance and satisfaction as affected by personal control over salient decisions, J. Personal. Soc. Psychol. 31, 232–240 (1975)

    Article  Google Scholar 

  54. C.-M. Huang, B. Mutlu: The repertoire of robot behavior: Enabling robots to achieve interaction goals through social behavior, J. Hum.-Robot Interact. 2(2), 80–102 (2013)

    Article  Google Scholar 

  55. T.L. Griffiths, C. Kemp, J.B. Tenenbaum: Bayesian models of cognition. In: Cambridge Handbook of Computational Cognitive Modeling, ed. by R. Sun (Cambridge Univ. Press, Cambridge 2008) pp. 59–100

    Google Scholar 

  56. C. Crick, B. Scassellati: Inferring narrative and intention from playground games, 7th IEEE Int. Conf. Dev. Learn. (ICDL) (2008)

    Google Scholar 

  57. C. Breazeal, J. Gray, M. Berlin: Mindreading as a foundational skill for socially intelligent roots, Int. Symp. Robotics Res. (ISRR-07) (2007)

    Google Scholar 

  58. E.K. Mower, D. Feil-Seifer, M. Matarić, S. Narayanan: Investigating implicit cues for user state estimation in HRI using physiological measurements, 16th IEEE Int. Symp. Robot Human Interact. Commun. (RO-MAN) (2007)

    Google Scholar 

  59. V. Chidambaram, Y.-H. Chiang, B. Mutlu: Designing persuasive robots, 17th Annu. ACM/IEEE Int. Conf. Hum.-Robot Interact. (HRI ’12) (2012) pp. 293–300

    Google Scholar 

  60. T. Fong, I. Nourbakhsh, K. Dautenhahn: A survey of socially interactive robots, Robotics Auton. Syst. 42(3/4), 143–166 (2003)

    Article  MATH  Google Scholar 

  61. M. Berlin, J. Gray, A. Thomaz, C. Breazeal: Perspective taking: An organizing principle for learning in human-robot interaction, 21st Natl Conf. Artif. Intell. (AAAI) (2006)

    Google Scholar 

  62. Y.-L. Lin, G. Wei: Speech emotion recognition based on HMM and SVM, 4th Int. Conf. Mach. Learn. Cybern. (2005)

    Google Scholar 

  63. A. Metallinou, S. Lee, S. Narayanan: Audio-visual emotion recognition using Gaussian mixture models for face and voice, 2008 IEEE Int. Symp. Multimed. (ISM) (2008) pp. 250–257

    Chapter  Google Scholar 

  64. M. Matarić: Sensory-motor primitives as a basis for learning by imitation: Linking perception toaction and biology to robotics. In: Imitation in Animals and Artifacts, ed. by K. Dautenhahn, C. Nehaniv (MIT Press, Cambridge 2002)

    Google Scholar 

  65. C. Breazeal, B. Scassellati: Robots that imitate humans, Trends Cognit. Sci. 6(11), 481–487 (2002)

    Article  Google Scholar 

  66. M. Nicolescu, M. Matarić: Task learning through imitation and human-robot interaction. In: Models and Mechanisms of Imitation and Social Learning in Robots, Humans and Animals: Behavioural, Social and Communicative Dimensions, ed. by K. Dautenhahn, C. Nehaniv (Cambridge Univ. Press, Cambridge 2005) pp. 407–424

    Google Scholar 

  67. O.C. Jenkins, M.J. Matarić, S. Weber: Primitive-Based Movement Classification for Humanoid Imitation, 1st IEEE-RAS Int. Conf. Humanoid Robotics (Humanoids-2000) (2000)

    Google Scholar 

  68. P. Bakker, Y. Kuniyoshi: Robot see, robot do: An overview of robot imitation, AISB96 Workshop Learn. Robots Animals (1996)

    Google Scholar 

  69. S. Chernova, C. Breazeal: Learning Temporal Plans from Observation of Human Collaborative Behavior, AAAI Spring Symp., It’s allTiming: Represent. Reason. about TimeInteract. Behav. (2010)

    Google Scholar 

  70. K. Chawarska, F.R. Volkmar: Autism in infancy and early childhood. In: Handbook of Autism and Pervasive Developmental Disorders, Vol. 1, (Wiley, New York 2005) pp. 223–246

    Chapter  Google Scholar 

  71. K.D. Tsatsanis: Neuropsychological characteristics in autism and related conditions. In: Handbook of Autism and Pervasive Developmental Disorders, Vol. 1, (Wiley, New York 2005) pp. 365–381

    Chapter  Google Scholar 

  72. CDC: Facts about Autism Spectrum Disorders. Facts About ASDs, http://www.cdc.gov/ncbddd/autism/data.html (2015)

  73. C. Lord, S. Risi, L. Lambrecht, E.H. Cook Jr., B.L. Leventhal, P.C. DiLavore, M. Rutter: The autism diagnostic observation schedule—Generic: A standard measure of social and communication deficits associated with the spectrum of autism, J. Aut. Devel. Disorder. 30(3), 205–223 (2000)

    Article  Google Scholar 

  74. J. Edwards, M. Lanyado: Autism: Clinical and theoretical issues. In: The Handbook of Child & Adolescent Psychotherapy, Psychoanalytic Approaches, ed. by M. Lanyado, A. Horne (Routledge, London 1999) pp. 429–443

    Google Scholar 

  75. F.R. Volkmar, A. Klin: Issues in the classification of autism and related conditions. In: Handbook of Autism and Pervasive Developmental Disorders, Vol. 1, (Wiley, New York 2005) pp. 5–41

    Chapter  Google Scholar 

  76. F. Martin, J. Farnum: Animal-assisted therapy for children with pervasive developmental disorders, West J. Nurs. Res. 24(6), 657–670 (2002)

    Article  Google Scholar 

  77. L.A. Redefer, J.F. Goodman: Brief report: Pet-facilitated therapy with autistic children, J. Autism Dev. Disord. 19(3), 461–467 (1989)

    Article  Google Scholar 

  78. A. Bosseler, D.W. Massaro: Development and evaluation of a computer-animated tutor for vocabulary and language learning in children with autism, J. Autism Dev. Disord. 33(6), 653–672 (2003)

    Article  Google Scholar 

  79. O.E. Hetzroni, J. Tannous: Effects of a computer-based intervention program on the communicative functions of children with autism, J. Autism Dev. Disord. 34(2), 95–113 (2004)

    Article  Google Scholar 

  80. M. Silver, P. Oakes: Evaluation of a new computer intervention to teach people with autism or Asperger syndrome to recognize and predict emotions in others, Autism 5(3), 299–316 (2001)

    Article  Google Scholar 

  81. S. Parsons, P. Mitchell: The potential of virtual reality in social skills training for people with autistic spectrum disorders, J. Intell. Disabil. Res. 46(5), 430–443 (2002)

    Article  Google Scholar 

  82. D. Strickland: Virtual reality for the treatment of autism, Stud. Health Technol. Inform. 44, 81–86 (1997)

    Google Scholar 

  83. B. Scassellati: How social robots will help us to diagnose, treat, and understand autism, 12th Int. Symp. Robotics Res. (ISRR) (2005)

    Google Scholar 

  84. I.P. Werry, K. Dautenhahn: Applying mobile robot technology to the rehabilitation of autistic children, 7th Int. Symp. Intell. Robotics Syst. (SIRS’99) (1999)

    Google Scholar 

  85. F. Michaud, A. Clavet: Robotoy contest – designing mobile robotics toys for autistic children, Am. Soc. Eng. Educ. (ASEE’01) (2001)

    Google Scholar 

  86. B. Robins, K. Dautenhahn, R. Te Boekhorst, A. Billard: Robotic assistants in therapy and education of children with autism: Can a small humanoid robot help encourage social interaction skills?, Proc. Univers. Access Inf. Soc. (UAIS) (2005)

    Google Scholar 

  87. H. Kozima, C. Nakagawa, Y. Yasuda: Interactive robots for communication-care: A case-study in autism therapy, IEEE Int. Workshop Robot Hum. Interact. Commun. (RO-MAN) (2005) pp. 341–346

    Google Scholar 

  88. E. Kim, E. Newland, R. Paul, B. Scassellati: Robotic tools for prosodic training for children with ASD: A case study, Int. Meet. Autism Res. (IMFAR) (2008)

    Google Scholar 

  89. E.S. Kim, L.D. Berkovits, E.P. Bernier, D. Leyzberg, F. Shic, R. Paul, B. Scassellati: Social robots as embedded reinforcers of social behavior in children with autism, J. Autism Dev. Disord. 43(5), 1038–1049 (2013)

    Article  Google Scholar 

  90. E. Kim, R. Paul, F. Shic, B. Scassellati: Bridging the research gap: Making HRI useful to individuals with autism, J. Hum.-Robot Interact. 1(1), 26–54 (2012)

    Article  Google Scholar 

  91. D. Feil-Seifer, M.J. Matarić: Toward socially assistive robotics for augmenting interventions for children with autism spectrum disorders, Exp. Robotics – 11th Int. Symp. (2009)

    Google Scholar 

  92. D. Feil-Seifer, M.J. Matarić: Towards the integration of socially assistive robots into the lives of children with ASD. Working, Human-Robot Interact. Workshop Soc. Impact: How Socially Accepted Robots Can be Integr.our Soc. (2009)

    Google Scholar 

  93. M. Matarić, J. Eriksson, D. Feil-Seifer, C. Winstein: Socially assistive robotics for post-stroke rehabilitation, Int. J. Neuroeng. Rehabil. 4, 5 (2007)

    Article  Google Scholar 

  94. A. Tapus, C. Tapus, M.J. Matarić: User-robot personality matching and assistive robot behavior adaptation for post-stroke rehabilitation therapy, Intell. Serv. Robotics Spec. Issue Multidiscip. Collab. Soc. Assist, Robotics 1(2), 169–183 (2008)

    Google Scholar 

  95. A. Tapus, C. Tapus, M.J. Matarić: Music therapist robot: A solution for helping people with cognitive impairments, Int. Jt. Conf. Artif. Intell. (IJCAI) (2009)

    Google Scholar 

  96. American Heart Association: Heart Disease and Stroke Statistics -- 2003 Update (American Heart Association and American Stroke Association, Dallas 2003)

    Google Scholar 

  97. M. Kelly-Hayes, J.T. Robertson: The American Heart Association stroke outcome classification, Stroke 29(6), 1274–1280 (1998)

    Article  Google Scholar 

  98. J.P. Broderick: William M. Feinberg Lecture: Stroke therapy in the year 2025: Burden, breakthroughs, and barriers to progress, Stroke 35(1), 205–211 (2004)

    Article  Google Scholar 

  99. T.S. Olsen: Arm and leg paresis as outcome predictors in stroke rehabilitation, Stroke 21(2), 247–251 (1990)

    Article  Google Scholar 

  100. N.E. Mayo, S. Wood-Dauphinee, R. Côté, L. Durcan, J. Carlton: Activity, participation, and quality of life 6 months poststroke, Arch. Physic. Med. Rehabil. 83(8), 1035–1042 (2002)

    Article  Google Scholar 

  101. B.H. Dobkin: Clinical practice. Rehabilitation after stroke, N. Eng. J. Med. 352(16), 1677–1684 (2005)

    Article  Google Scholar 

  102. J. Desrosiers, F. Malouin, D. Bourbonnais, C.L. Richards, A. Rochette, G. Bravo: Arm and leg impairments and disabilities after stroke rehabilitation: relation to handicap, Clin. Rehabil. 17(6), 666–673 (2003)

    Article  Google Scholar 

  103. R.J. Nudo, E.J. Plautz, S.B. Frost: Role of adaptive plasticity in recoery of function after damage to motor cortex, Muscle Nerve 24(8), 1000–1019 (2001)

    Article  Google Scholar 

  104. E.G. Taub, G. Uswatte, D.M. Morris: Improved motor recovery after stroke and massive cortical reorganization following constraint-induced movement therapy, Phys. Med. Rebail. Clin. N. Am 14(1), 77–91 (2003)

    Article  Google Scholar 

  105. J. Van der Lee, R.C. Wagenaar, G. Lankhorst, T.W. Vogelaar, W.L. Deville, L.M. Bouter: Forced use of the upper extremity in chronic stroke patients; results from a single-blind randomized clinical trial, Stroke 30, 2369–2375 (1999)

    Article  Google Scholar 

  106. D. Reinkensmeyer, M. Averbuch, A. McKenna-Cole, D.B. Schmit, W.Z. Rymer: Understanding and treating arm movement impairment after chronic brain injury: Progress with the arm guide, J. Rehabil Res. Dev. 37(6), 653–662 (2000)

    Google Scholar 

  107. J. Schaechter, E. Kraft, T.S. Hilliard, R.M. Dijkhuizen, T. Benner, S.P. Finklestein, B.R. Rosen, S.C. Cramer: Motor recovery and cortical reorganization after constraint-induced movement therapy in stroke patients: A preliminary study, Neurorehabil. Neural Repair 16(4), 326–338 (2002)

    Article  Google Scholar 

  108. C. Butefisch, H. Hummelsheim, P. Denzler, K.H. Mauritz: Repetitive training of isolated movements improves the outcome of motor rehabilitation of the centrally paretic hand, J. Neurol. Sci. 130(1), 59–68 (1995)

    Article  Google Scholar 

  109. G. Kwakkel, R.C. Wagenaar, J.W. Twisk, G.J. Lankhorst, J.C. Koetsier: Intensity of leg and arm training after primary middle-cerebral artery stroke: A randomized trial, Lancet 354, 191–196 (1999)

    Article  Google Scholar 

  110. S. Wolf, S. Blanton, H. Baer, J. Breshears, A.J. Butler: Repetitive task practice: A critical review of constraint induced therapy in stroke, Neurologist 8(6), 325–338 (2002)

    Google Scholar 

  111. S.L. Wolf, C.J. Winstein, J.P. Miller, E. Taub, G. Uswatte, D. Morris, C. Giuliani, K.E. Light, D. Nichols-Larsen: Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke, J. Am. Med. Assoc. (JAMA) 296(17), 2095–2104 (2006)

    Article  Google Scholar 

  112. T. Nef, R. Riener: ARMin: Design of a novel arm rehabilitation robot, Proc. Int. Conf. Rehabil. Robotics (2005)

    Google Scholar 

  113. N. Schweighofer, Y. Choi, C. Winstein, J. Gordon: Task-oriented rehabilitation robotics, Am. J. Phys. Med. Rehabil. 91(11), 270–279 (2012)

    Article  Google Scholar 

  114. K. Wada, T. Shibata, T. Saito, K. Tanie: Analysis of factors that bring mental effects to elderly people in robot assisted activity, Proc. Int. Conf. Intell. Robots Syst. (2002) pp. 1152–1157

    Google Scholar 

  115. C.D. Kidd, W. Taggart, S. Turkle: A sociable robot to encourage social interaction among the elderly, Int. Conf. Robotics Autom. (2006) pp. 3972–3976

    Google Scholar 

  116. C.G. Burgar, P.S. Lum, P.C. Shor, M. Van der Loos: Development of robots for rehabilitation therapy: The Palo Alto vs/Stanford experience, J. Rehabil. Res. Dev. 37(6), 663–673 (2000)

    Google Scholar 

  117. H.I. Krebs, B.T. Volpe, M. Ferraro, S. Fasoli, J. Palazzolo, B. Rohrer, L. Edelstein, N. Hogan: Robot-aided neurorehabilitation: From evidence-based to science-based rehabilitation, Top Stroke Rehabil. 8(4), 54–70 (2002)

    Article  Google Scholar 

  118. B.R. Brewer, R. Klatzky, Y. Matsuoka: Feedback distortion to overcome learned nonuse: A system overview IEEE Eng. Med, Biol. 3, 1613–1616 (2003)

    Google Scholar 

  119. D.J. Reinkensmeyer, C.T. Pang, J.A. Nesseler, C.C. Painter: Web-based tele-rehabilitation of the upper extremity after stroke, IEEE Tran. Neural Syst. Rehabil. Eng. 10(2), 102–108 (2002)

    Article  Google Scholar 

  120. S. Hesse, H. Schmidt, C. Werner, A. Bardeleben: Upper and lower extremity robotic devices for rehabilitation and for studying motor control, Curr. Opin. Neurol. 16(6), 705–710 (2003)

    Article  Google Scholar 

  121. S. Hesse, G. Schulte-Tigges, M. Konrad, A. Bardeleben, C. Werner: Robot-assisted arm trainer for the passive and active practice of bilateral forearm and wrist movements in hemiparetic subjects, Arch. Phys. Med. Rehabil. 84(6), 915–920 (2003)

    Article  Google Scholar 

  122. S. Hesse, C. Werner: Poststroke motor dysfunction and spasticity: Novel pharmacological and physical treatment strategies, CNS Drugs 17(15), 1093–1107 (2003)

    Article  Google Scholar 

  123. C. Winstein, R.A. Schmidt: Reduced frequency of knowledge of results enhances motor skill learning, J. Exp. Psychol. Learn. Mem. Cognit. 16(4), 677–691 (1990)

    Article  Google Scholar 

  124. C. Winstein: Knowledge of results and motor learning–implications for physical therapy, Phys. Ther. 71(2), 140–149 (1991)

    Article  Google Scholar 

  125. C. Winstein, P.S. Pohl, R. Lewthwaite: Effects of physical guidance and knowledge of results on motor learning: Support for the guidance hypothesis, Res. Q. Exerc. Sport. 65(4), 316–323 (1994)

    Article  Google Scholar 

  126. C. Winstein, A. Merians, K. Sullivan: Motor learning after unilateral brain damage, Neuropsychologia 37(8), 975–987 (1999)

    Article  Google Scholar 

  127. J. Eriksson, M.J. Matarić, C. Winstein: Hands-off assistive robotics for post stroke arm rehabilitation, Proc. IEEE Int. Conf. Rehabil. Robotics (ICORR’05) (2005) pp. 21–24

    Google Scholar 

  128. M. Ghahramanlou, J. Arnoff, M.A. Wozniak, S.J. Kittner, T.R. Price: Personality influences psychological adjustment and recovery from stroke, Proc. Am. Stroke Assoc. 26th Int. Stroke Conf. (2001)

    Google Scholar 

  129. H. Nakajima, Y. Morishima, R. Yamada, S. Brave, H. Maldonado, C. Nass, S. Kawaji: Social intelligence in a human-machine collaboration system: Social responses to agents with mind model and personality, J. Jpn. Soc. Artif. Intell. 19(3), 184–196 (2004)

    Google Scholar 

  130. H. Nakajima, S. Braveand, C. Nass, R. Yamada, Y. Morishima, S. Kawaji: The functionality of human-machine collaboration systems mind model and social behavior, Proc. IEEE Conf. Syst. Man Cybern. (2003) pp. 2381–2387

    Google Scholar 

  131. C. Nass, M.K. Lee: Does computer-synthesized speech manifest personality? Experimental tests of recognition, similarity-attraction, and consistency attraction, J. Exp. Psychol. Appl. 7(3), 171–181 (2001)

    Article  Google Scholar 

  132. A. Tapus, M. Matarić: Towards socially assistive robotics, Int. J. Robotics Soc. Jpn. (JRSJ) 24(5), 14–16 (2006)

    Google Scholar 

  133. A. Bandura: Principles of Behavior Modification (Holt, Rinehart and Winston, New York 1969)

    Google Scholar 

  134. E.T. Hall: Hidden Dimension (Doubleday, Gorden City 1966)

    Google Scholar 

  135. E. Wade, A. Parnandi, M. Matarić: Automated administration of the wolf motor function test for post-stroke assessment, 4th Int. ICST Conf. Pervasive Comput. Technol. Heal. (Pervasive Health 2010) (2010) pp. 1–7

    Google Scholar 

  136. A. Parnandi, E. Wade, M. Matarić: Motor function assessment using wearable inertial sensors, 32nd Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. (EMBC’10) (2010)

    Google Scholar 

  137. T.W. Bickmore, R.W. Picard: Establishing and maintaining long-term human-computer relationships, ACM Tran. Comput.-Hum. Interact. 12(2), 293–327 (2005)

    Article  Google Scholar 

  138. H.F. Davis, J.B. Croft, A.M. Malarcher, C. Ayala, T.L. Antoine, A. Hyduk: Public health and aging: Hospitalizations for stroke among adults aged $> 65$ years, CDC Morbid. Mortal. Wkl Rep. (MMWR) 52(25), 581–604 (2003)

    Google Scholar 

  139. American Association of Colleges of Nursing: Nursing Shortage Fact Sheet (American Association of Colleges of Nursing, Washington 2010)

    Google Scholar 

  140. American Health Care Association: Summary of 2007 AHCA Survey Nursing Staff Vacancy and Turnover in Nursing Facilities Report (American Health Care Association, Washington 2008)

    Google Scholar 

  141. P. Buerhaus: Current and future state of the US nursing workforce J. Am. Med, Assoc. 300(20), 2422–2424 (2008)

    Article  Google Scholar 

  142. E. Baum, D. Jarjoura, A. Polen, D. Faur, G. Rutecki: Effectiveness of a group exercise program in a long-term care facility: A randomized pilot trial J. Am. Med. Dir, Assoc. 4(2), 74–80 (2003)

    Google Scholar 

  143. D. Dawe, R. Moore-Orr: Low-intensity, range-of-motion exercise: Invaluable nursing care for elderly patients, J. Adv. Nurs. 21, 675–681 (1995)

    Article  Google Scholar 

  144. M.D. McMurdo, L.M. Rennie: A controlled trial of exercise by residents of old people’s homes, Age Ageing 22, 11–15 (1993)

    Article  Google Scholar 

  145. V. Thomas, P. Hageman: Can neuromuscular strength and function in people with dementia be rehabilitated using resistance-exercise training? Results from a preliminary intervention study, J. Gerontol. A Biol. Sci. Med, Sci. 58, 746–751 (2003)

    Google Scholar 

  146. S. Colcombe, A. Kramer: Fitness effects the cognitive function of older adults, Psychol. Sci. 14(2), 125–130 (2003)

    Article  Google Scholar 

  147. S. Colcombe, A. Kramer, K. Erickson, P. Scalf, E. McAuley, N. Cohen, S. Elavsky: Cardiovascular fitness, cortical plasticity, and aging, Proc. Natl Acad. Sci, USA 101(9), 3316–3321 (2004)

    Article  Google Scholar 

  148. W. Spirduso, P. Clifford: Replication of age and physical activity effects on reaction and movement time, J. Gerontol. 33(1), 26–30 (1978)

    Article  Google Scholar 

  149. Z.B. Moak, A. Agrawal: The association between perceived interpersonal social support and physical and mental health: Results from the national epidemiological survey on alcohol and related conditions, J. Public Health 32, 191–201 (2010)

    Article  Google Scholar 

  150. L. George, D. Blazer, D. Hughes, N. Fowler: Social support and the outcome of major depression, Br. J. Psychiatry 154, 478–485 (1989)

    Article  Google Scholar 

  151. E. Paykel: Life events, social support and depression, Acta Psychiatr. Scand. 89, 50–58 (1994)

    Article  Google Scholar 

  152. S. Stansfeld, G. Rael, J. Head, M. Shipley, M. Marmot: Social support and psychiatric sickness absence: A prospective study of British civil servants, Psychol. Med. 27(1), 35–48 (1997)

    Article  Google Scholar 

  153. E. Stice, J. Ragan, P. Randall: Prospective relations between social support and depression: Differential direction of effects for parent and peer support?, J. Abnorm. Psychol. 113, 155–159 (2004)

    Article  Google Scholar 

  154. E. Steinmetz: American with Disabilities: 2002 Current Population Reports (Census Bureau, Washington 2006)

    Google Scholar 

  155. M.J. Field, A.M. Jette: The Future of Disability in America (National Acadamies Press, Washington 2007)

    Google Scholar 

  156. S.L. McGinnis, J. Moore: The impact of the aging population on the health workforce in the United States–summary of key findings, Cah. Sociol. Demogr. Med. 46(2), 193–220 (2006)

    Google Scholar 

  157. R.A. Cooper, B.E. Dicianno, B. Brewer, E. LoPresti, D. Ding, R. Simpson, G. Grindle, H. Wang: A perspective on intelligent devices and environments in medical rehabilitation, Med. Eng. Phys. 30(10), 1387–1398 (2008)

    Article  Google Scholar 

  158. American Heart Association: Heart and Stroke Statistics, 2006 Update (American Heart Association, Dallas 2006)

    Google Scholar 

  159. M.F. Diagram: White Paper of the Elderly (Japan National Council of Social Welfare, Tokyo 2001)

    Google Scholar 

  160. Eurostatistics: Population Projections 2008-2060: From 2015, deaths projected to outnumber births in the EU27, http://europa.eu/rapid/press-release_STAT-08-119_en.htm (2008)

  161. J. Rimmer: Exercise and physical activity in persons aging wityh a physical disability, Phys. Med. Rehabil. Clin. N. Am. 16, 41–56 (2005)

    Article  Google Scholar 

  162. Experience Corps: Fact Sheet on Aging in America (AARP, Washington 2007)

    Google Scholar 

  163. B.J. Kemp: What the rehabilitation professional and the consumer need to know, Phys. Med. Rehabil. Clin. N. Am. 16(1), 1–18 (2005)

    Article  Google Scholar 

  164. B.J. Kemp, L. Mosqueda: Aging with a Disability: What the Clinician Needs to Know (Johns Hopkins Univ. Press, Baltimore 2004)

    Google Scholar 

  165. A.W. Heinemann: State-of-the-science on postacute rehabilitation: Setting a research agenda and developing an evidence base for practice and public policy. An introduction, J. Spinal. Cord. Med. 30(5), 452–457 (2007)

    Article  Google Scholar 

  166. A.W. Heinemann: State of the science of postacute rehabilitation: Setting a research agenda and developing an evidence base for practice and public policy. An introduction, Rehabil. Nurs. 33(2), 82–87 (2008)

    Article  Google Scholar 

  167. U. Tas, A.P. Verhagen, S.M.A. Bierma-Zeinstra, E. Odding, B.W. Koes: Prognostic factors of disability in older people: A systematic review, Br. J. Gen. Pract. Syst. Rev. 57(537), 319–323 (2007)

    Google Scholar 

  168. S.G. Leveille, B.W. Penninx, D. Melzer, G. Izmirlian, J.M. Guralnik: Sex differences in the prevalence of mobility disability in old age: the dynamics of incidence, recovery, and mortality, J. Gerontol. B Psychol. Sci. Soc, Sci. 55(1), 41–50 (2000)

    Google Scholar 

  169. J. Fasola, M.J. Matarić: Using socially assistive human-robot interaction to motivate physical exercise for older adults, Proc. IEEE 100(8), 2512–2526 (2012)

    Article  Google Scholar 

  170. American Alzheimer Association: About Alzheimer’s Disease Statistics (American Alzheimer Association, Chicago 2007)

    Google Scholar 

  171. T. Tamura, S. Yonemitsu, A. Itoh, D. Oikawa, A. Kawakami, Y. Higashi, T. Fujimooto, K. Nakajima: Is an entertainment robot useful in the care of elderly people with severe dementia?, J. Gerontol. A Biol. Sci. Med, Sci. 59(1), 83–85 (2004)

    Google Scholar 

  172. A. Tapus, C. Tapus, M.J. Matarić: The use of socially assistive robots in the design of intelligent cognitive therapies for people with dementia, Int. Conf. Rehabil. Robotics (2009)

    Google Scholar 

  173. C. Jayawardena, I. Kuo, C. Datta, R.Q. Stafford, E. Broadbent, B.A. MacDonald: Design, implementation and field tests of a socially assistive robot for the elderly: HealthBot version 2, 4th IEEE RAS/EMBS Int. Conf. Biomed. Robotics Biomechatron. (BioRob) (2012) pp. 1837–1842

    Google Scholar 

  174. W. Taggart, S. Turkle, C.D. Kidd: An interactive robot in a nursing home: Preliminary remarks. In: Towards Social Mechanisms of Android Science, (COGSCI Workshop), Stresa, 2005)

    Google Scholar 

  175. N. Sharkey, A. Sharkey: Living with robots: Ethical tradeoffs in eldercare, Nat. Language Process. 8, 245–256 (2010)

    Article  Google Scholar 

  176. D. Feil-Seifer, M.J. Matarić: Ethical principles for socially assistive robotics, IEEE Robotics Autom Mag. 18(1), 24–31 (2011)

    Article  Google Scholar 

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Authors and Affiliations

  1. Computer Science Department, University of Southern California, 3650 McClintock Avenue, CA 90089, Los Angeles, USA

    Maja J. Matarić

  2. Computer Science, Cognitive Science, and Mechanical Engineering, Yale University, 51 Prospect Street, CT 06520-8285, New Haven, USA

    Brian Scassellati

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  1. Maja J. Matarić
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Correspondence to Maja J. Matarić .

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  1. Department of Electrical Engineering, University of Naples Federico II, Via Claudio 21, 80125, Naples, Italy

    Bruno Siciliano

  2. Department of Computer Sciences, Artificial Intelligence Laboratory, Stanford University, 450 Serra Mall, CA 94305, Stanford, USA

    Oussama Khatib

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Matarić, M.J., Scassellati, B. (2016). Socially Assistive Robotics. In: Siciliano, B., Khatib, O. (eds) Springer Handbook of Robotics. Springer Handbooks. Springer, Cham. https://doi.org/10.1007/978-3-319-32552-1_73

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