Performance evaluation methods for assistive robotic technology

Performance Evaluation and Benchmarking of Intelligent Systems

Volumn , Issue , 2009, Pages 41-66

  Tsui, Katherine M ^a   Feil Seifer, David J ^b   Matarić, Maja J ^b   Yanco, Holly A ^a  

^a University of Massachusetts Lowell   (United States)

^b University of Southern California ^*  (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; CLINICAL RESEARCH; INTELLIGENT SYSTEMS; ROBOTICS;

ASSISTIVE ROBOTIC ARMS; ASSISTIVE TECHNOLOGY; AUTISM SPECTRUM DISORDERS; CLINICAL APPLICATION; FUNCTIONAL PERFORMANCE; INTELLIGENT WHEELCHAIR; POST-STROKE REHABILITATION; TECHNOLOGY DEVELOPMENT;

INTELLIGENT ROBOTS;

EID: 84892345279     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-4419-0492-8_3     Document Type: Conference Paper

References (114)

1. N. K. Aaronson, C. Acquadro, J. Alonso, G. Apolone, D. Bucquet, M. Bullinger, K. Bungay, S. Fukuhara, B. Gandek, S. Keller, D. Razavi, R. Sanson-Fisher, M. Sullivan, S. Wood-Dauphinee, A. Wagner, and J. E. Ware Jr. International Quality of Life Assessment (IQOLA) Project. Quality of Life Research, 1(5):349-351, 2004.
2. AMPS. com. AMPS Project International (Assessment of Motor and Process Skills), 2006. http://www. ampsintl. com/tasks. htm. Accessed Mar. 1, 2009.
3. C. Anderson, S. Laubscher, and R. Burns. Validation of the Short Form 36 (SF-36) Health Survey Questionnaire Among Stroke Patients. Stroke, 27(10):1812-1816, 1996.
4. S. Au. Powered Ankle-Foot Prosthesis for the Improvement of Amputee Walking Economy. PhD thesis, MIT, 2007.
5. S. Au, M. Berniker, and H. Herr. 2008 Special Issue: Powered Ankle-Foot Prosthesis to Assist Level-Ground and Stair-Descent Gaits. Neural Networks, 21(4):654-666, 2008.
6. L. Blum, N. Korner-Bitensky, and E. Sitcoff. StrokEngine (MAS), 2009. http:// www. medicine. mcgill. ca/strokengine-assess/module-mas-indepth-en. html. Accessed Mar. 1, 2009.
7. R. Bohannon and M. Smith. Interrater Reliability of a Modified Ashworth Scale of Muscle Spasticity. Physical Therapy, 67(2):206-7, 1987.
8. R. Bourgeois-Doyle. George J. Klein: The Great Inventor. NRC Research Press, 2004.
9. Brain Injury Resource Foundation. Functional Independence Measure (FIM), 2009. http://www. birf. info/home/bi-tools/tests/fam. html. Accessed Mar. 1, 2009.
10. B. R. Brewer, S. Pradhan, G. Carvell, P. Sparto, D. Josbeno, and A. Delitto. Application of Machine Learning to the Development of a Quantitative Clinical Biomarker for the Progression of Parkinson's Disease. In Rehabilitation Engineering Society of North America Conf., 2008.
11. J. Brody. Prospects for an Ageing Population. Nature, 315(6019):463-466, 1985.
12. H. Burger, F. Franchignoni, A. Heinemann, S. Kotnik, and A. Giordano. Validation of the Orthotics and Prosthetics User Survey Upper Extremity Functional Status Module in People with Unilateral Upper Limb Amputation. Journal of Rehabilitation Medicine, 40(5): 393-399, 2008.
13. T. Bursick, E. Trefler, D. A. Hobson, and S. Fitzgerald. Functional Outcomes of Wheelchair Seating and Positioning in the Elderly Nursing Home Population. In Rehabilitation Engineering Society of North America Conference, pages 316-318, 2000.
14. CALL Centre. Smart Wheelchair, 2006. http://callcentre. education. ed. ac. uk/Smart-Wheel Ch/smart-wheelch. html. Accessed Mar. 1, 2009.
15. T. Carlson and Y. Demiris. Human-Wheelchair Collaboration Through Prediction of Intention and Adaptive Assistance. In IEEE International Conference on Robotics and Automation, 2008.
16. A. Carter, F. Volkmar, S. Sparrow, J. Wang, C. Lord, G. Dawson, E. Fombonne, K. Loveland, G. Mesibov, and E. Schopler. The Vineland Adaptive Behavior Scales: Supplementary Norms for Individuals with Autism. Journal of Autism and Developmental Disorders, 28(4):287-302, 1998.
17. J. Cedarbaum, N. Stambler, E. Malta, C. Fuller, D. Hilt, B. Thurmond, and A. Nakanishi. The ALSFRS-R: A Revised ALS Functional Rating Scale that Incorporates Assessments of Respiratory Function. BDNF ALS Study Group (Phase III). Journal of Neurological Sciences, 169(1-2):13-21, 1999.
18. O. Celik, M. K. O'Malley, C. Boake, H. Levin, S. Fischer, and T. Reistetter. Comparison of Robotic and Clinical Motor Function Improvement Measures for Sub-Acute Stroke Patients. In IEEE International Conference on Robotics and Automation, 2008.
19. E. Chaves, A. Koontz, S. Garber, R. Cooper, and A. Williams. Clinical Evaluation of a Wheelchair Mounted Robotic Arm. Technical report, Univ. of Pittsburgh, 2003.
20. Y. Choi, C. Anderson, J. Glass, and C. Kemp. Laser Pointers and a Touch Screen: Intuitive Interfaces for Autonomous Mobile Manipulation for the Motor Impaired. In International ACM SIGACCESS Conference on Computers and Accessibility, pages 225-232, 2008.
21. J. A. Cohen. A Coefficient of Agreement for Nominal Scales. Educational and Psychological Measurement, 20:37-46, 1960.
22. R. Cooper, M. Boninger, R. Cooper, A. Dobson, J. Kessler, M. Schmeler, and S. Fitzgerald. Use of the Independence 3000 IBOT Transporter at Home and in the Community. Journal of Spinal Cord Medicine, 26(1):79-85, 2003.
23. H. Day and J. Jutai. PIADS in the World, 2009. http://www. piads. ca/worldmapshtm/ worldmap. asp. Accessed Mar. 1, 2009.
24. H. Day, J. Jutai, and K. Campbell. Development of a Scale to Measure the Psychosocial Impact of Assistive Devices: Lessons Learned and the Road Ahead. Disability and Rehabilitation, 24(1-3):31-37, 2002.
25. DEKA Research and Development Corporation. DEKA Evolved Thinking, 2007. http:// www. dekaresearch. com. Accessed Mar. 1, 2009.
26. W. DeWeerdt and M. Harrison. Measuring Recovery of Arm-Hand Function in Stroke Patients: A Comparison of the Brunnstrom-Fugl-Meyer Test and the Action Research Arm Test. Physiother Can, 37(2):65-70, 1985.
27. M. Donkervoort, M. Roebroeck, D. Wiegerink, H. van der Heijden-Maessen, and H. Stam. Determinants of Functioning of Adolescents and Young Adults with Cerebral Palsy. Disability and Rehabilitation, 29:453-463, 2007.
28. M. D. Ellis, T. Sukal, T. DeMott, and J. P. A. Dewald. ACT3D exercise targets gravityinduced discoordination and improves reaching work area in individuals with stroke. In IEEE International Conference on Rehabilitation. Robotics, 2007.
29. Exact Dynamics. Assistive Robotic Manipulator, 2004. http://www. exactdynamics. nl/. Accessed Mar. 1, 2009.
30. S. Fahn, R. Elton, et al. Unified Parkinson's Disease Rating Scale. Recent Developments in Parkinson's Disease, 2:153-163, 1987.
31. Feil-Seifer and M. Mataríc. Socially Assistive Robotics. in International Conference on Rehabilitation Robotics, Pages 465-468, 2005.
32. D. J. Feil-Seifer and M. J. Mataríc. B3IA: An Architecture for Autonomous Robot-Assisted Behavior Intervention for Children with Autism Spectrum Disorders. In International Workshop on Robot and Human Interactive Communication, Munich, Germany, Aug 2008.
33. D. J. Feil-Seifer and M. J. Mataríc. Robot-Assisted Therapy for Children with Autism Spectrum Disorders. In Conference on Interaction Design for Children: Children with Special Needs, 2008.
34. D. J. Feil-Seifer and M. J. Mataríc. Toward Socially Assistive Robotics For Augmenting Interventions For Children With Autism Spectrum Disorders. In International Symposium on Experimental Robotics, 54:201-210, 2008.
35. M. Ferraro, J. Demaio, J. Krol, C. Trudell, K. Rannekleiv, L. Edelstein, P. Christos,M. Aisen, J. England, and S. Fasoli. Assessing the Motor Status Score: A Scale for the Evaluation of Upper Limb Motor Outcomes in Patients After Stroke. Neurorehab. and Neural Repair, 16(3):283, 2002.
36. A. Fisher. AMPS: Assessment of Motor and Process Skills Volume 1: Development, Standardisation, and Administration Manual. Ft Collins, CO: Three Star Press Inc., 2003.
37. J. Fleiss. Measuring Nominal Scale Agreement Among Many Raters. Psychological Bulletin, 76(5):378-382, 1971.
38. W. Foczkowski and S. Barreca. The Functional Independence Measure: Its Use to Identify Rehabilitation Needs in Stroke Survivors. Archives of Physical Medicine and Rehabilitation, 74(12):1291-1294, 1993.
39. B. Freeman. Guidelines for Evaluating Intervention Programs for Children with Autism. Journal of Autism and Developmental Disorders, 27(6):641-651, 1997.
40. A. Fugl-Meyer, L. Jaasko, I. Leyman, S. Olsson, and S. Steglind. The Post-Stroke Hemiplegic Patient. 1. A Method for Evaluation of Physical Performance. Scandinavian Journal of Rehabilitation Medicine, 7(1):13-31, 1975.
41. G. Fulk, M. Frick, A. Behal, and M. Ludwig. A Wheelchair Mounted Robotic Arm for Individuals with Multiple Sclerosis. Technical report, Clarkson Univ., 2005.
42. B. Gale. Faculty Practice as Partnership with a Community Coalition. Journal of Professional Nursing, 14(5):267-271, 1998.
43. D. Gladstone, C. Danells, and S. Black. The Fugl-Meyer Assessment of Motor Recovery after Stroke: A Critical Review of ItsMeasurement Properties. Neurorehabilitation and Neural Repair, 16(3):232, 2002.
44. D. Greenwood, W. Whyte, and I. Harkavy. Participatory Action Research as a Process and as a Goal. Human Relations, 46(2):175-192, 1993.
45. J. Guralnik, E. Simonsick, L. Ferrucci, R. Glynn, L. Berkman, D. Blazer, P. Scherr, and R. Wallace. A Short Physical Performance Battery Assessing Lower Extremity Function: Association with Self-Reported Disability and Prediction of Mortality and Nursing Home Admission. Journal of Gerontology, 49(2):M85-94, 1994.
46. G. Guyatt. The 6-minute walk: a new measure of exercise capacity in patients with chronic heart failure. Canadian Medical Association Journal, 132(8):919-923, 1985.
47. K. Haigh and H. A. Yanco. Automation as Caregiver: A Survey of Issues and Technologies. In AAAI-2002 Workshop on Automation as Caregiver: The Role of Intelligent Technology in Elder Care, 2002.
48. A. W. Heinemann, R. K. Bode, and C. O'Reilly. Development and Measurement Properties of the Orthotics and Prosthetics Users' Survey (OPUS): A Comprehensive Set of Clinical Outcome Instruments. Prosthetics and Orthotics International, 27(3):191-206, 2003.
49. M. Hillman. Rehabilitation Robotics from Past to Present-A Historical Perspective. In IEEE International Conference on Rehabilitation Robotics, 2003.
50. J. Hobart, L. Williams, K. Moran, and A. Thompson. Quality of Life Measurement After Stroke Uses and Abuses of the SF-36. Stroke, 33(5):1348-1356, 2002.
51. S. J. Housman, V. Le, T. Rahman, R. J. Sanchez, and D. J. Reinkensmeyer. Arm-Training with T-WREX After Chronic Stroke: Preliminary Results of a Randomized Controlled Trial. In IEEE International Conference on Rehabilitation Robotics, 2007.
52. X. L. Hu, K. Y. Tong, R. Song, X. J. Zheng, I. F. Lo, and K. H. Lui. Myoelectrically Controlled Robotic Systems That Provide Voluntary Mechanical Help for Persons after Stroke. In IEEE International Conference on Rehabilitation Robotics, 2007.
53. W. Jenkins and M. Merzenich. Reorganization of Neocortical Representations After Brain Injury: A Neurophysiological Model of the Bases of Recovery from Stroke. Progress in Brain Research, 71:249-66, 1987.
54. D. Kerby, R. Wentworth, and P. Cotten. Measuring Adaptive Behavior in Elderly Developmentally Disabled Clients. Journal of Applied Gerontology, 8(2):261, 1989.
55. R. Kleinpell, K. Fletcher, and B. Jennings. Reducing Functional Decline in Hospitalized Elderly. Patient Safety and Quality: An Evidence-Based Handbook for Nurses. AHRQ Publication No. 08-0043, 2007.
56. H. Kozima and C. Nakagawa. Longitudinal Child-Robot Interaction at Preschool. In AAAI Spring Symposium on Multidisciplinary Collaboration for Socially Assistive Robotics, pages 27-32, 2007.
57. T. Kuiken, G. Li, B. Lock, R. Lipschutz, L. Miller, K. Stubblefield, and K. Englehart. Targeted Muscle Reinnervation for Real-time Myoelectric Control of Multifunction Artificial Arms. Journal of American Medical Association, 301(6):619-628, 2009.
58. W. Lee, M. Zhang, P. Chan, and D. Boone. Gait Analysis of Low-Cost Flexible-Shank Trans-Tibial Prostheses. IEEE Transactions on Neural Systems and Rehabi, 14(3):370-377, 2006.
59. M. Legro, G. Reiber, M. Del Aguila, M. Ajax, D. Boone, J. Larsen, D. Smith, and B. Sangeorzan. Issues of Importance Reported by Persons with Lower Limb Amputations and Prostheses. Journal of Rehabilitation Research and Development, 36(3):155-163, 1999.
60. R. Likert. A Technique for the Measurement of Attitudes. Archives of Psychics, 140(5):1-55, 1932.
61. C. Lord, S. Risi, L. Lambrecht, E. H. Cook Jr., B. L. Leventhal, P. C. DiLavore, A. Pickles, and M. Rutter. The Autism Diagnostic Observation Schedule-Generic: A Standard Measure of Social and Communication Deficits Associated with the Spectrum of Autism. Journal of Autism and Developmental Disorders, 30(3):205-223, 2000.
62. M. Mataríc, J. Eriksson, D. Feil-Seifer, and C. Winstein. Socially Assistive Robotics for Post-Stroke Rehabilitation. Journal of NeuroEngineering and Rehabilitation, 4(1):5, 2007.
63. J. Max, K. Mathews, A. Lansing, B. Robertson, P. Fox, J. Lancaster, F. Manes, and J. Smith. Psychiatric Disorders After Childhood Stroke. Journal of the American Academy of Child & Adolescent Psychiatry, 41(5):555, 2002.
64. D. M. McNair, M. Lorr, and L. F. Droppleman. Profile of Mood States. In Educational and Industrial Testing Service, 1992.
65. MedFriendly. com. MedFriendly. com: Functional Independence Measure, 2007. http://www. medfriendly. com/functionalindependencemeasure. html. Accessed Mar. 1, 2009.
66. F. Michaud, T. Salter, A. Duquette, H. Mercier, M. Lauria, H. Larouche, and F. Larose. Assistive Technologies and Child-Robot Interaction. In AAAI Spring Symposium on Multidisciplinary Collaboration for Socially Assistive Robotics, 2007.
67. L. Miller, K. Stubblefield, R. Lipschutz, B. Lock, and T. Kuiken. Improved Myoelectric Prosthesis Control Using Targeted Reinnervation Surgery: A Case Series. IEEE Transaction on Neural Systems and Rehabilitation Engineering, 16(1):46-50, 2008.
68. MobileRobots Inc. Robotic Chariot, 2006. http://activrobots. com/robots/robochariot. html. Accessed Mar. 1, 2009.
69. MobileRobots Inc. Independence-Enhancing Wheelchair, 2008. http://www. activrobots. com/RESEARCH/wheelchair. html. Accessed Mar. 1, 2009.
70. D Molloy and T. Standish. A Guide to the Standardized Mini-Mental State Examination. International Psychogeriatrics, 9(S1):87-94, 2005.
71. C. Osgood, G. J. Suci, and P. H. Tannenbaum. The Measurement of Meaning. University of Illinois Press, 1957.
72. Pearson Education, Inc. Vineland Adaptive Behavior Scales, Second Edition (Vineland-II), 2009. http://www. pearsonassessments. com/vinelandadapt. aspx. Accessed Mar. 1, 2009.
73. S. Pruitt, J. Varni, and Y. Setoguchi. Functional Status in Children with Limb Deficiency: Development and Initial Validation of an Outcome Measure. Archives of Physical Medicine and Rehabilitation, 77(12):1233-1238, 1996.
74. QualityMetric Inc. The SF Community-Offering Information and Discussion on Health Outcomes, 2009. http://www. sf-36. org/. Accessed Mar. 1, 2009.
75. E. Rapacki, K. Tsui, D. Kontak, and H. Yanco. Design and Evaluation of a Laser Joystick in a Turret Assembly. In Rehabilitation Engineering Society of North America Conf., 2008.
76. B. Robins, K. Dautenhahn, and J. Dubowsky. Robots as Isolators or Mediators for Children with Autism? A Cautionary Tale. In AISB05: Social Intelligence and Interaction in Animals, Robots and Agents, 2005.
77. B. Robins, K. Dautenhahn, R. te Boekhorst, and A. Billard. Robots as Assistive Technology-Does Appearance Matter? In IEEE Intl. Workshop on Robot and Human Interactive Communication, 2004.
78. B. Robins, K. Dautenhahn, R. te Boekhorst, and C. Nehaniv. Behaviour Delay and Robot Expressiveness in Child-Robot Interactions: A User Study on Interaction Kinesics. In International Conference on Human-Robot Interaction, 2008.
79. R. Robins, C. Fraley, and R. Krueger. Handbook of Research Methods in Personality Psychology. Guilford Press, 2007.
80. G. Römer and H. Stuyt. Compiling aMedical Device File and a Proposal for an Intl. Standard for Rehabilitation Robots. IEEE International Conference on Rehabilitation Robotics, pages 489-496, 2007.
81. T. Salter, F. Michaud, D. Létourneau, D. Lee, and I. Werry. Using Proprioceptive Sensors for Categorizing Interactions. In Human-Robot Interaction, 2007.
82. E. Sanderson and R. Scott. UNB Test of Prosthetic Function: A Test for Unilateral Amputees [test manual]. Fredericton, New Brunswick, Canada, University of New Brunswick, 1985.
83. R. Simpson. SmartWheelchairs: A Literature Review. Journal of Rehab. Research Development, 42(4):423-36, 2005.
84. R. C. Simpson. Improved Automatic Adaption Through the Combination of Multiple Information Sources. PhD thesis, University of Michigan, Ann Arbor, 1997.
85. H. Sintonen. The 15-D Measure of Health Related Quality of Life: Reliability, Validity and Sensitivity of its Health State Descriptive System. Working Paper 41, Center for Health Program Evaluation, 1994.
86. H. Sintonen. 15D Instruments, 2009. http://www. 15d-instrument. net. Accessed Mar. 1, 2009.
87. R. Stanley, D. Stafford, E. Rasch, and M. Rodgers. Development of a Functional Assessment Measure for Manual Wheelchair Users. Journal of Rehabilitation Research and Development, 40(4):301-307, 2003.
88. C. Stanton, P. Kahn, R. Severson, J. Ruckert, and B. Gill. Robotic Animals Might Aid in the Social Development of Children with Autism. In International Conference on Human-Robot Interaction, pages 271-278, 2008.
89. M. Stineman, A. Jette, R. Fiedler, and C. Granger. Impairment-Specific Dimensions Within the Functional Independence Measure. Archives of Physical Medicine and Rehabilitation, 78(6):636-643, 1997.
90. C. Stranger, C. Anglin, W. S. Harwin, and D. Romilly. Devices for Assisting Manipulation: A Summary of User Task Priorities. IEEE Transactions on Rehabilitation Engineering, 4(2):256-265, 1994.
91. T. Taha, J. V. Miró, and G. Dissanayake. POMPDP-Based Long-Term User Intention Prediction forWheelchair Navigation. In IEEE International Conference on Robotics and Automation, 2008.
92. A. Tapus, C. Tapus, and M. J. Mataríc. The use of Socially Assistive Robots in the Design of Intelligent Cognitive Therapies for People with Dementia. In IEEE International Conference on Rehabilitation Robotics,2009.
93. C. Tardif, M. Plumet, J. Beaudichon, D. Waller, M. Bouvard, and M. Leboyer. Micro-Analysis of Social Interactions Between Autistic Children and Normal Adults in Semi-Structured Play Situations. International Journal of Behavioral Development, 18(4): 727-747, 1995.
94. H. Tijsma, F. Liefhebber, and J. Herder. Evaluation of New User Interface Features for the Manus Robot ARM. In IEEE International Conference on Rehabilitation Robotics, pages 258-263, 2005.
95. K. Tsui and H. Yanco. Simplifying Wheelchair Mounted Robotic Arm Control with a Visual Interface. In AAAI Spring Symposium on Multidisciplinary Collaboration for Socially Assistive Robotics, pages 247-251, March 2007.
96. K. Tsui, H. Yanco, D. Kontak, and L. Beliveau. Development and Evaluation of a Flexible Interface for a Wheelchair Mounted Robotic Arm. In International Conference on Human Robot Interaction, 2008.
97. H. Tyrer, M. Aud, G. Alexander, M. Skubic, and M. Rantz. Early Detection of Health Changes In Older Adults. International Conference of the IEEE Engineering in Medicine and Biology Society, pages 4045-4048, 2007.
98. Uniform Data System for Medical Rehabilitation. UDSMR::WeeFIM II R- System, 2009. http://www. weefim. org/WebModules/WeeFIM/Wee-About. aspx. Accessed Mar. 1, 2009.
99. Univ. of Illinois Chicago. Power Mobility Skills Checklist, 2006. http://internet. dscc. uic. edu/forms/0534. pdf. Accessed Mar. 1, 2009.
100. US Food and Drug Administration. Guidance for Industry, E6 Good Clinical Practice: Consolidated Guidance. Federal Register, 10:691-709, 1997.
101. G. Uswatte, E. Taub, D. Morris, K. Light, and P. Thompson. The Motor Activity Log-28: Assessing Daily Use of the Hemiparetic Arm After Stroke. Neurology, 67(7):1189, 2006.
102. K. Wada, T. Shibata, T. Saito, and K. Tanie. Effects of Robot-Assisted Activity for Elderly People and Nurses at a Day Service Center. IEEE, 92(11):1780-1788, 2004.
103. J. Wall, C. Bell, S. Campbell, and J. Davis. The Timed Get-up-and-Go test revisited: measurement of the component tasks. Journal of rehabilitation research and development, 37(1):109, 2000.
104. S. Wang, J. Keller, K. Burks, M. Skubic, and H. Tyrer. Assessing Physical Performance of Elders Using Fuzzy Logic. IEEE International Conference on Fuzzy Systems, pages 2998-3003, 2006.
105. J. A. Ward, S. Balasubramanian, T. Sugar, and J. He. Robotic Gait Trainer Reliability and Stroke Patient Case Study. In IEEE International Conference on Rehabilitation Robotics, 2007.
106. D. Wechsler and Psychological Corporation and Australian Council for Educational Research. Wechsler Intelligence Scale for Children. 1949.
107. WheelchairNet. WheelchairNet: The history of wheelchairs, 2006. http://www. wheelchairnet. org/WCN-ProdServ/Docs/WCHistory. html. Accessed Mar. 1, 2009.
108. D. Wilson, L. Baker, and J. Craddock. Functional Test for the Hemiparetic Upper Extremity. American Journal of Occupational Therapy, 38(3):159-64, 1984.
109. S. Wolf, P. Thompson, D. Morris, D. Rose, C. Winstein, E. Taub, C. Giuliani, and S. Pearson. The EXCITE Trial: Attributes of the Wolf Motor Function Test in Patients with Subacute Stroke. Neurorehabilitation and Neural Repair, 19(3):194, 2005.
110. V. Wong. Use of Acupuncture in Children with Autism Spectrum Disorder-ClinicalTrials. gov, 2006. http://clinicaltrials. gov/ct2/show/locn/ NCT00352352?term=Autism. Accessed Mar. 1, 2009.
111. V. Wong, Y. T. Au-Yeung, and P. Law. Correlation of Functional Independence Measure for Children (WeeFIM) with Developmental Language Tests in Children with Developmental Delay. Journal of Child Neurology, 20(7):613-616, 2005.
112. S. Wood-Dauphinee. Assessing Quality of Life in Clinical Research: From Where Have We Come and Where Are We Going? Journal of Clinical Epidemiology, 52(4):355-363, 1999.
113. H. Yanco. Evaluating the Performance of Assistive Robotic Systems. Performance Metrics for Intelligent Systems (PerMIS) Workshop, pages 21-25, 2002.
114. F. Zijlstra. Efficiency in Work Behaviour: A Design Approach for Modern Tools. PhD thesis, Delft University, 1993.