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Research Articles

Evaluating the User Experience of Exercising Reaching Motions With a Robot That Predicts Desired Movement Difficulty

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Pages 31-46 | Received 30 Sep 2014, Accepted 24 Mar 2015, Published online: 06 May 2015

REFERENCES

  • Abdollahi, F., Rozario, S., Kenyon, R., Patton, J., Case, E., Kovic, M., & Listenberger, M. (2011). Arm control recovery enhanced by error augmentation. Proceedings of IEEE International Conference on Rehabilitation Robotics ICORR, 1–6.
  • Atsma, W. J. (2006) Inference of central nervous system input and its complexity for interactive arm movement. Doctoral dissertation, University of British Columbia.
  • Bartneck, C., Kulić, D., Croft, E. A., & Zoghbi, S. (2008). Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1, 71–81.
  • Bradley, M., & Lang, P. (1994). Measuring emotion: The self-assessment manikin and the semantic differential. Journal of Behavior Therapy and Experimental Psychiatry, 25, 49–59.
  • Celik, O., Powell, D., & O'Malley, M. K. (2009). Impact of visual error augmentation methods on task performance and motor adaptation. Proceedings of IEEE International Conference on Rehabilitation Robotics ICORR, 793–798.
  • Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York, NY: Harper & Row.
  • Csikszentmihalyi, M. (1991). Flow: The psychology of optimal experience. New York, NY: Harper Perennial.
  • Folstein, M. F., Folstein, S. E., & McHugh, P.R. (1975). “Mini-mental state:” A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189–198.
  • Glantz, S. A. (1997). Primer of bio-statistics (4th ed.). New York, NY: McGraw-Hill.
  • Guadagnoli, M. A., & Lee, T. D. (2004). Challenge point: A framework for conceptualizing the effects of various practice conditions in motor learning. Journal of Motor Behavior, 36, 212–224.
  • Hart, S. G. (2006). NASA-task load index (NASA-TLX); 20 years later. Proceedings of the Human Factors and Ergonomics Society 50th Annual Meeting, 904–908.
  • Hart, S. G., & Staveland, L. E. (1988). Development of NASA-TLX (task load index): Results of empirical and theoretical research. In P. A. Hancock & N. Meshkati (Eds.), Human mental workload (pp. 139–183). Amsterdam, the Netherlands: North Holland Press.
  • Lam, M., Tatla, S., Lohse, K., Shirzad, N., Hoens, A., Miller, K., … Van der Loos, H. F. M. (2015). Perceptions of technology and its use for therapeutic application for individuals with hemiparesis: Findings from adult and paediatric focus groups. Journal of Medical Internet Research: Rehabilitation and Assistive Technologies, 2(1), e1.
  • Liu, C., Conn, K., Sarkar, N., & Stone, W. (2008). Online affect detection and robot behavior adaptation for intervention of children with autism. IEEE Transactions on Robotics, 24, 883–896.
  • Liu, C., Rani, P., & Sarkar, N. (2006). Affective state recognition and adaptation in human-robot interaction: A design approach. Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems IROS, 3099–3106.
  • Lohse, K. R., Lang, C. E., & Boyd, L. A. (2014). Is more better? Using meta-data to explore dose-response relationships in stroke rehabilitation. Stroke, 45, 2053–2058.
  • Lohse, K. R., Shirzad, N., Verster, A., Hodges, N., & Van der Loos, H. F. M. (2013). Video games and rehabilitation: Using design principles to enhance patient engagement. Journal of Neurologic Physical Therapy, 37, 166–175.
  • Maclean, N., Pound, P., Wolfe, C., & Rudd, A. (2000). Qualitative analysis of stroke patients' motivation for rehabilitation. BMJ, 321, 1051–1054.
  • Nakamura, J., & Csikszentmihalyi, M. (2005). The concept of flow: Handbook of positive psychology. London, England: Oxford University Press.
  • Novak, D., Mihelj, M., Ziherl, J., Olensek, A., & Munih, M. (2011). Psychophysiological measurements in a biocooperative feedback loop for upper extremity rehabilitation. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 19, 400–410.
  • Novak, D., Ziherl, J., Olensek, A., Milavec, M., Podobnik, J., Mihelj, M., & Munih, M. (2010). Psychophysiological responses to robotic rehabilitation tasks in stroke. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 18, 351–361.
  • O'Brien, H. L., & Toms, E. G. (2008). What is user engagement? Journal of the American Society for Information Science Technology, 59, 938–955.
  • O'Brien, H. L., & Toms, E. G. (2010). The development and evaluation of a survey to measure user engagement. Journal of the American Society for Information Science, 61, 50–69.
  • Patton, J. L., Stoykov, M. E., Kovic, M., & Mussa-Ivaldi, M. A. (2006). Evaluation of robotic training forces that either enhance or reduce error in chronic hemiparetic stroke survivors. Experimental Brain Research, 168, 368–383.
  • Portney, L. G., & Watkins, M. P. (2009). Foundations of clinical research: Applications to practice (3rd ed.). New York, NY: Pearson Prentice Hall.
  • Russell, J. A. (1980). A circumplex model of affect. Journal of Personality and Social Psychology, 39, 1161–1178.
  • Russell, S., & Norvig, P. (2010). Artificial intelligence: A modern approach (3rd ed.). Pearson Prentice Hall.
  • Shirzad, N. (2013). The use of physiological signals and motor performance metrics in task difficulty adaptation: Improving engagement in robot-assisted therapy. Master's dissertation, University of British Columbia.
  • Shirzad, N., & Van der Loos, H. F. M. (2012). Error amplification to promote motor learning and motivation in therapy robotics. Proceedings of IEEE International Conference on Engineering in Medicine and Biology Society EMBC, 3907–3910.
  • Shirzad, N., & Van der Loos, H. F. M. (2013). Adaptation of task difficulty in rehabilitation exercises based on user's motor performance and physiological responses. Proceedings of IEEE International Conference on Rehabilitation Robotics ICORR, 1–6.
  • Shirzad, N., & Van der Loos, H. F. M. (2014). Physiological responses to error amplification in a robotic reaching adaptation task. Proceedings of the International Conference of the IEEE Engineering in Medicine and Biology Society EMBC, 2318–2321.
  • Statistics Canada. (2010). Residential care facilities report. Ottawa, Canada: Author.
  • Tatla, S., Shirzad, N., Lohse, K., Virji-Babul, N., Hoens, A., Holsti, L., … Van der Loos, H. F. M. (2015). Therapists' perceptions of social media and video game technologies in upper limb rehabilitation. Journal of Medical Internet Research: Serious Games, 3(1), e2.
  • Wei, Y., Bajaj, P., Scheidt, R. A., & Patton, J. L. (2005). Visual error augmentation for enhancing motor learning and rehabilitative relearning. Proceedings of IEEE International Conference on Rehabilitation Robotics ICORR, 505–510.

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