Hee-Tae Jung
Skip Editorial Notes SectionSkip Abstract Section
Skip Supplemental Material SectionEditorial Notes
The authors have requested minor, non-substantive changes to the VoR and, in accordance with ACM policies, a Corrected VoR was published on March 15, 2021. For reference purposes the VoR may still be accessed via the Supplemental Material section on this page.
Abstract
Upper-limb impairments due to stroke can severely affect the quality of life in patients. Scientific evidence supports that repetitive rehabilitation exercises can improve motor ability in stroke patients. Rehabilitation games gained tremendous interest among researchers and clinicians because of their potential to make the seemingly mundane, enduring rehabilitation therapies more engaging. However, routine and longitudinal use of rehabilitation games in real-world clinical settings has not been investigated in depth. Particularly, we know little about current practices, challenges, and their potential impacts on therapeutic outcomes. To address this gap, we established a partnership with a rehabilitation hospital where game-assisted rehabilitation was routinely employed over a 2-year period. We then conducted an observational study, in which we observed 11 game-assisted therapy sessions and interviewed 15 therapists who moderated the therapy. Significant findings include (1) different engagement patterns of stroke patients in game-assisted therapy, (2) imperative roles of therapists in moderating games and challenges that therapists face during game-assisted therapy, and (3) lack of support for therapists in delivering patient-centered, personalized therapy to individual stroke patients. Furthermore, we discuss design implications for more effective rehabilitation game therapies that take into consideration both patients and therapists and their specific needs.
Supplemental Material
Available for Download
pdf
3418197-vor.pdf (6.7 MB)
Version of Record for "Rehabilitation Games in Real-World Clinical Settings: Practices, Challenges, and Opportunities" by Jung et al., ACM Transactions on Computer-Human Interaction, Volume 27, Issue 6 (TOCHI 27:6).
- D. Aggarwal, B. Ploderer, F. Vetere, M. Bradford, and T. Hoang. 2016. Doctor, can you see my squats? Understanding bodily communication in video consultations for physiotherapy. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems.Google Scholar
- G. Alankus and C. Kelleher. 2012. Reducing compensatory motions in videogames for stroke rehabilitation. In Proceedings of the ACM Conference on Human Factors in Computing Systems.Google Scholar
- G. Alankus, A. Lazar, M. May, and C. Kelleher. 2010. Towards customizable games for stroke rehabilitation. In Proceedings of the ACM Conference on Human Factors in Computing Systems.Google Scholar
- American Psychiatric Association. 2013. Guide to Physical Therapist Practice. American Psychiatric Association Publishing.Google Scholar
- J. Annema, M. Verstraete, V. Abeele, S. Desmet, and D. Geerts. 2010. Videogames in therapy: A therapist’s perspective. In Proceedings of the International Conference on Fun and Games.Google Scholar
- Viviane C. R. Appel, Valdinei L. Belini, Denny H. Jong, Daniel V. Magalhães, and Glauco A. P. Caurin. 2014. Classifying emotions in rehabilitation robotics based on facial skin temperature. In Proceedings of the 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE, 276--280.Google Scholar
- M. Augstein, T. Neumayr, and I. Schacherl-Hofer. 2014. The usability of a tabletop application for neuro-rehabilitation from therapists’ point of view. In Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces.Google Scholar
- K. K. A. Bakhti, I. Laffont, M. Muthalib, J. Froger, and D. Mottet. 2018. Kinect-based assessment of proximal arm non-use after a stroke. Journal of NeuroEngineering and Rehabilitation 15, 104 (2018), 1--12.Google ScholarCross Ref
- M. Balaam, S. R. Egglestone, G. Fitzpatrick, T. Rodden, A. Hughes, A. Wilkinson, T. Nind, L. Axelrod, E. Harris, I. Ricketts, S. Mawson, and J. Burridge. 2011. Motivating mobility: Designing for lived motivation in stroke rehabilitation. In Proceedings of the ACM Conference on Human Factors in Computing Systems.Google Scholar
- Tanya Barber, Behnam Sharif, Sylvia Teare, Jean Miller, Brittany Shewchuk, Lee A. Green, Nancy Marlett, Jolanda Cibere, Kelly Mrklas, Tracy Wasylak, Linda C. Li, Denise Campbell-Scherer, and Deborah A. Marshall. 2019. Qualitative study to elicit patients’ and primary care physicians’ perspectives on the use of a self-management mobile health application for knee osteoarthritis. BMJ Open 9, 1 (2019), 1--8. DOI:https://doi.org/10.1136/bmjopen-2018-024016Google ScholarCross Ref
- A. L. Bellner. 1999. Senses of responsibility: A challenge for occupational and physical therapists in the context of ongoing professionalism. Scandinavian Journal of Caring Sciences 13, 1 (1999), 55--62.Google Scholar
- Athina Belsi, Enrica Papi, and Alison H. McGregor. 2016. Impact of wearable technology on psychosocial factors of osteoarthritis management: A qualitative study. BMJ Open 6, 2 (2016), e010064. DOI:https://doi.org/10.1136/bmjopen-2015-010064Google ScholarCross Ref
- S. Benford, C. Greenhalgh, A. Crabtree, M. Flintham, B. Walker, J. Marshall, B. Koleva, S. Rennick-Egglestone, G. Giannahi, M. Adams, N. Tandavanitj, and J. Row Farr. 2013. Performance-led research in the wild. ACM Transactions on Computer-Human Interaction 20, 3 (2013), 1--22.Google ScholarDigital Library
- A. Blandford, E. Berndt, K. Catchpole, D. Furniss, A. Mayer, H. Mentis, A. A. O’Kane, T. Owen, A. Rajkomar, and R. Randell. 2015. Strategies for conducting situated studies of technology use in hospitals. Cognition, Technology and Work 17 (2015), 489--502.Google ScholarDigital Library
- J. Blennerhassett and W. Dite. 2004. Additional task-related practice improves mobility and upper limb function early after stroke: A randomised controlled trial. Australian Journal of Physiotherapy 50, 4 (2004), 219--224.Google ScholarCross Ref
- A. J. Bongers, S. Smith, V. Donker, M. Pickrell, R. Hall, and S. Lie. 2014. Interactive infrastructures: Physical rehabilitation modules for pervasive healthcare technology. In Pervasive Health, A. Holzinger, M. Ziefle, and C. Röcker (Eds.). Springer, 229--254.Google Scholar
- N. A. Borghese, M. Pirovano, P. L. Lanzi, S. Wüest, and E. D. de Bruin. 2013. Computational intelligence and game design for effective at-home stroke rehabilitation. Games for Health Journal: Research, Development, and Clinical Applications 2, 2 (2013), 81--88.Google ScholarCross Ref
- V. Braun and V. Clarke. 2006. Using thematic analysis in psychology. Qualitative Research in Psychology 3, 2 (2006), 77--101.Google ScholarCross Ref
- E. B. Brokaw, P. S. Lum, R. A. Cooper, and B. R. Brewer. 2013. Using the kinect to limit abnormal kinematics and compensation strategies during therapy with end effector robots. In Proceedings of IEEE International Conference on Rehabilitation Robotics.Google Scholar
- K. Brütsch, A. Koenig, L. Zimmerli, S. Mérillat, R. Riener, L. Jäncke, H. J. A van Hedel, and A. Meyer-Heim. 2011. Virtual reality for enhancement of robot-assisted gait training in children with central gait disorders. Journal of Rehabilitation Medicine 43, 6 (2011), 493--499.Google ScholarCross Ref
- C. Butefisch, H. Hummelsheim, P. Denzler, and K. Mauritz. 1995. Repetitive training of isolated movements improves the outcome of motor rehabilitation of the centrally paretic hand. Journal of the Neurological Sciences 130, 1 (1995), 59--68.Google ScholarCross Ref
- J. Cheng and C. Putnam. 2015. Therapeutic gaming in context: Observing game use for brain injury rehabilitation. In Proceedings of the ACM Conference on Human Factors in Computing Systems Extended Abstracts.Google Scholar
- J. H. Choi, E. Y. Han, B. R. Kim, S. M. Kim, S. H. Im, S. Y. Lee, and C. W. Hyun. 2014. Effectiveness of commercial gaming-based virtual reality movement therapy on functional recovery of upper extremity in subacute stroke patients. Annals of Rehabilitation Medicine 38, 4 (2014), 485--493.Google ScholarCross Ref
- A. H. Christensen. 2004. Patient Adherence to Medical Treatment Regimens. Yale University Press, New Haven, CT.Google Scholar
- M. Csikszentmihalyi. 1990. Flow: The Psychology of Optimal Experience. Harper 8 Row, New York, NY.Google Scholar
- T. B. Cumming, R. S. Marshall, and R. M. Lazar. 2013. Stroke, cognitive deficits, and rehabilitation: Still an incomplete picture. Stroke 8, 1 (2013), 38--45.Google ScholarCross Ref
- B. De Schutter. 2011. Never too old to play: The appeal of digital games to an older audience. Games and Cluture 6, 2 (2011), 155--170.Google ScholarCross Ref
- J. E. Deutsch, A. Brettler, C. Smith, J. Welsh, R. John, P. Guarrera-Bowlby, and M. Kafri. 2011. Nintendo wii sports and wii fit game analysis, validation, and application to stroke rehabilitation. Topics in Stroke Rehabilitation 18, 6 (2011), 701--719.Google ScholarCross Ref
- E. Dolatabadi, Y. X. Zhi, B. Ye, M. Coahran, G. Lupinacci, A. Mihailidis, R. Wang, and B. Taati. 2017. The toronto rehab stroke pose dataset to detect compensation during stroke rehabilitation therapy. In Proceedings of the 11th EAI International Conference on Pervasive Computing Technologies for Healthcare.Google Scholar
- A. Edwards and G. Elwyn. 2009. Shared Decision-making in Health Care: Achieving Evidence-based Patient Choice. Oxford University Press.Google Scholar
- S. M. El-Shamy. 2018. Efficacy of Armeo® robotic therapy versus conventional therapy on upper limb function in children with hemiplegic cerebral palsy. American Journal of Physical Medicine 8 Rehabilitation 97, 3 (2018), 164--169.Google Scholar
- C. G. Fairburn and Z. Cooper. 2011. Therapist competence, therapy quality, and therapist training. Behaviour Research and Therapy 49, 6--7 (2011), 373--378.Google ScholarCross Ref
- H. Faller. 2003. Shared decision making: An approach to strengthening patient participation in rehabilitation. Die Rehabilitation 42, 3 (2003), 129--135.Google ScholarCross Ref
- I. Faria-Fortini, S. M. Michaelsen, J. G. Cassiano, and L. F. Teixeira-Salmela. 2011. Upper extremity function in stroke subjects: Relationships between the international classification of functioning, disability, and health domains. Journal of Hand Therapy 24, 3 (2011), 257--265.Google ScholarCross Ref
- M. F. Folstein, L. N. Robins, and J. E. Helzer. 1983. The mini-mental state examination. Archives of General Psychiatry 40, 7 (1983), 812--812.Google ScholarCross Ref
- Nizan Friedman, Vicky Chan, Andrea N. Reinkensmeyer, Ariel Beroukhim, Gregory J. Zambrano, Mark Bachman, and David J. Reinkensmeyer. 2014. Retraining and assessing hand movement after stroke using the MusicGlove: Comparison with conventional hand therapy and isometric grip training. Journal of Neuroengineering and Rehabilitation 11, 76 (2014), 1--14.Google ScholarCross Ref
- K. M. Gerling, I. J. Livingston, L. E. Nacke, and R. L. Mandryk. 2012. Full-body motion-based game interaction for older adults. In Proceedings of the ACM Conference on Human Factors in Computing Systems.Google Scholar
- K. M. Gerling, R. L. Mandryk, and C. Linehan. 2015. Long-term use of motion-based video games in care home settings. In Proceedings of the ACM Conference on Human Factors in Computing Systems.Google Scholar
- K. M. Gerling, M. Miller, R. L. Madryk, M. Birk, and J. Smeddinck. 2014. Effects of balancing for physical abilities on player performance, experience and self-esteem in exergames. In Proceedings of the ACM Conference on Human Factors in Computing Systems.Google Scholar
- L. Geurts, V. V. Abeele, J. Husson, F. Windey, M. Van Overveldt, J. Annema, and S. Desmet. 2011. Digital games for physical therapy: Fulfilling the need for calibration and adaptation. In Proceedings of the 5th International Conference on Tangible, Embedded, and Embodied Interaction. 117--124.Google Scholar
- R. Gillen, H. Tennen, T. E. McKee, P. Gernert-Dott, and G. Affleck. 2001. Depressive symptoms and history of depression predict rehabilitation efficiency in stroke patients. Archives of Physical Medicine and Rehabilitation 82, 12 (2001), 1645--1649.Google ScholarCross Ref
- Alba Gomez-Andres, Jennifer Grau-Sánchez, Esther Duarte, Antoni Rodriguez-Fornells, and Ana Tajadura-Jiménez. 2019. Enriching footsteps sounds in gait rehabilitation in chronic stroke patients: A pilot study. Annals of the New York Academy of Sciences 1467, 1 (2019), 48--59.Google ScholarCross Ref
- S. M. Grüsser, R. Thalemann, and M. D. Griffiths. 2006. Excessive computer game playing: Evidence for addiction and aggression? Cyberpsychology 8 Behavior 10, 2 (2006), 290--292.Google Scholar
- M. A. Guandagnoli and T. D. Lee. 2004. Challenge point: A framework for conceptualizing the effects of various practice conditions in motor learning. Journal of Motor Behavior 36, 3 (2004), 212--224.Google ScholarCross Ref
- J. E. Harris and J. J. Eng. 2007. Paretic upper-limb strength best explains arm activity in people with stroke. Physical Therapy 87, 1 (2007), 88--97.Google ScholarCross Ref
- K. W. Hayes, G. Huber, J. Rogers, and B. Sanders. 1999. Behaviors that cause clinical instructors to question the clinical competence of physical therapist students. Physical Therapy 79, 7 (1999), 653--667.Google ScholarCross Ref
- Valerie Hill, Leah Dunn, Kari Dunning, and Stephen J. Page. 2011. A pilot study of rhythm and timing training as a supplement to occupational therapy in stroke rehabilitation. Topics in Stroke Rehabilitation 18, 6 (2011), 728--737.Google ScholarCross Ref
- Hocoma. 2019. Product Training. Retrieved from https://www.hocoma.com/us/solutions/arm-hand.Google Scholar
- Hocoma. 2019. Webinars. Retrieved from https://www.hocoma.com/us/services/hocoma-academy/webinars/.Google Scholar
- M. K. Holden and T. Dyar. 2002. Virtual environment training: A new tool for neurorehabilitation. Journal of Neurologic Physical Therapy 26, 2 (2002), 62--71.Google Scholar
- R. Hunicke. 2005. The case for dynamic difficulty adjustment in games. In Proceedings of the ACM SIGCHI International Conference on Advances in Computer Entertainment Technology.Google ScholarDigital Library
- Julia M. Hush, Kirsten Cameron, and Martin Mackey. 2011. Patient satisfaction with musculoskeletal physical therapy care: A systematic review. Physical Therapy 91, 1 (2011), 25--36.Google ScholarCross Ref
- Julia M. Hush, Haejung Lee, Vivian Yung, Roger Adams, Martin Mackey, Benedict M. Wand, Roger Nelson, and Paul Beattie. 2013. Intercultural comparison of patient satisfaction with physiotherapy care in Australia and Korea: An exploratory factor analysis. Journal of Manual 8 Manipulative Therapy 21, 2 (2013), 103--112.Google ScholarCross Ref
- Julia M. Hush, Vivian Yang, Martin Mackey, Roger Adams, Benedict M. Wand, Roger Nelso, and Paul Beattie. 2012. Patient satisfaction with musculoskeletal physiotherapy care in Australia: An international comparison. The Journal of Manual 8 Manipulative Therapy 20, 4 (2012), 201--208.Google ScholarCross Ref
- Gi Jung Hyun, Doug Hyun Han, Young Sik Lee, Kyoung Doo Kang, Seo Koo Yoo, Un-Sun Chung, and Perry F. Renshaw. 2015. Risk factors associated with online game addiction: A hierarchical model. Computers in Human Behavior 48, C (2015), 706--713.Google Scholar
- L. Y. Joo, T. S. Yin, D. Xu, E. Thia, P. F. Chia, C. W. K. Kuah, and K. K. He. 2010. A feasibility study using interactive commercial off-the-shelf computer gaming in upper limb rehabilitation in patients after stroke. Journal of Rehabilitaion Medicine 42, 5 (2010), 437--441.Google ScholarCross Ref
- H. Jung, R. Freedman, T. Foster, Y. Choe, S. Zilberstein, and R. A. Grupen. 2015. Learning therapy strategies from demonstration using latent dirichlet allocation. In Proceedings of the ACM International Conference on Intelligent User Interface.Google Scholar
- H. Jung, H. Kim, J. Jeong, B. Jeon, T. Ryu, and Y. Kim. 2017. Feasibility of using the RAPAEL smart glove in upper limb physical therapy for patients after stroke: A randomized controlled trial. In Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.Google Scholar
- H. Jung, H. Kim, M. Y. Oh, T. Ryu, and Y. Kim. 2017. Learning classifier to evaluate the arm movement quality in unassisted pick-and-place exercises for post-stroke patients: A preliminary study. In Proceedings of the 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.Google Scholar
- H. Jung, J. Park, J. Jeong, T. Ryu, Y. Kim, and S. I. Lee. 2018. A wearable monitoring system for at-home stroke rehabilitation exercises: A preliminary study. In Proceedings of the International Conference on the IEEE Biomedical and Health Informatics.Google Scholar
- Y. Kang, D. L. Na, and S. Hahn. 1997. A validity study on the Korean mini-mental state examination (K-MMSE) in dementia patients. Journal of the Korean Neurological Association 15, 2 (1997), 300--308.Google Scholar
- Pulkit Kapur, Mallory Jensen, Laurel J. Buxbaum, Steven A. Jax, and Katherine J. Kuchenbecker. 2010. Spatially distributed tactile feedback for kinesthetic motion guidance. In Proceedings of the 2010 IEEE Haptics Symposium. IEEE, 519--526.Google Scholar
- Pulkit Kapur, Sunthar Premakumar, Steven A. Jax, Laurel J. Buxbaum, Amanda M. Dawson, and Katherine J. Kuchenbecker. 2009. Vibrotactile feedback system for intuitive upper-limb rehabilitation. In Proceedings of the World Haptics 2009-3rd Joint EuroHaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems. IEEE, 621--622.Google Scholar
- M. P. Kilgard and M. M. Merzenich. 1998. Cortical map reorganization enabled by nucleus basalis activity. Science 279, 5357 (1998), 1714--1718.Google Scholar
- B. R. Kim, M. H. Chun, L. S. Kim, and J. Y. Park. 2011. Effect of virtual reality on cognition in stroke patients. Annals of Rehabilitation Medicine 35, 4 (2011), 450--459.Google ScholarCross Ref
- Sung Soo Kim and Byung Kyu Park. 2008. Patient-perceived communication styles of physicians in rehabilitation: The effect on patient satisfaction and compliance in Korea. American Journal of Physical Medicine 8 Rehabilitation 87, 12 (2008), 998--1005.Google ScholarCross Ref
- M. King, J. M. Hijmans, M. Sampson, J. Satherley, and L. Hale. 2012. Home-based stroke rehabilitation using computer gaming. New Zealand Journal of Physiotherapy 40, 3 (2012), 128--134.Google Scholar
- Alexander Koenig, Ximena Omlin, Lukas Zimmerli, Mark Sapa, Carmen Krewer, Marc Bolliger, Friedemann Müller, and Robert Riener. 2011. Psychological state estimation from physiological recordings during robot-assisted gait rehabilitation. Journal of Rehabilitation Research and Development 48, 4 (2011), 367--385.Google ScholarCross Ref
- K. B. Kortte, L. D. Falk, R. C. Castillo, D. Johnson-Greene, and S. T. Wegener. 2007. The hopkins rehabilitation engagement rating scale: Development and psychometric properties. Archives of Physical Medicine and Rehabilitation 88, 7 (2007), 877--884.Google ScholarCross Ref
- K. B. Kortte and S. T. Wegener. 2004. Denial of illness in medical rehabilitation populations: Theory, research, and definition. Rehabilitation Psychology 49, 3 (2004), 187--199.Google ScholarCross Ref
- H. I. Krebs and N. Hogan. 2006. Therapeutic robotics: A technology push. Proceedings of the IEEE 94, 9 (2006), 1727--1738.Google ScholarCross Ref
- A. Kunkel, B. Kopp, G. Müller, K. Villringer, A. Villringer, E. Taub, and H. Flor. 1999. Constraint-induced movement therapy for motor recovery in chronic stroke patients. Archives of Physical Medicine and Rehabilitation 80, 6 (1999), 624--628.Google ScholarCross Ref
- G. Kwakkel. 2006. Impact of intensity of practice after stroke: Issues for considertion. Disability 8 Rehabilitation 28, 13--14 (2006), 823--830.Google Scholar
- C. E. Lang, J. R. MacDonald, D. S. Reisman, L. Boyd, T. J. Kimberley, S. M. Schindler-Ivens, T. G. Hornby, S. A. Ross, and P. L. Sheets. 2009. Observation of amounts of movement practice provided during stroke rehabilitation. Archives of Physical Medicine and Rehabilitation 90, 10 (2009), 1692--1698.Google ScholarCross Ref
- B. S. Lange, P. Requejo, S. M. Flynn, A. A. Rizzo, F. J. Valero-Cuevas, L. Baker, and C. Winstein. 2010. The potential of virtual reality and gaming to assist successful aging with disability. Physical Medicine and Rehabilitation Clinics 21, 2 (2010), 339--356.Google Scholar
- P. Langhorne, J. Bernhardt, and G. Kwakkel. 2011. Stroke rehabilitation. The Lancet 377, 9778 (2011), 1693--1702.Google Scholar
- G. Lee. 2013. Effects of training using video games on the muscle strength, muscle tone, and activities of daily living of chronic stroke patients. Journal of Physical Therapy Science 25, 5 (2013), 595--597.Google ScholarCross Ref
- S. I. Lee, X. Liu, S. Rajan, N. Ramasarma, E. K. Choe, and P. Bonato. 2019. A novel upper-limb function measure derived from finger-worn sensor data collected in a free-living setting. PloS One 14, 3 (2019), e0212484.Google Scholar
- E. J. Lenze, M. C. Munin, M. A. Dew, J. C. Rogers, K. Seligman, B. H. Mulsant, and C. F. Reynolds III. 2004. Adverse effects of depression and cognitive impairment on rehabilitation participation and recovery from hip fracture. International Journal of Geriatric Psychiatry 19, 5 (2004), 472--478.Google ScholarCross Ref
- M. F. Levin, J. A. Kleim, and S. L. Wolf. 2009. What do motor “recovery” and “compensation” mean in patients following stroke? Neurorehabil Neural Repair 23, 4 (2009), 313--319.Google ScholarCross Ref
- G. N. Lewis and J. A. Rosie. 2012. Virtual reality games for movement rehabilitation in neurological conditions: How do we meet the needs and expectations of the users? Disability and Rehabilitation 34, 22 (2012), 1880--1886.Google ScholarCross Ref
- C. Liu, P. Agrawal, N. Sarkar, and S. Chen. 2009. Dynamic difficulty adjustment in computer games through real-time anxiety-based affective feedback. International Journal of Human-Computer Interaction 25, 6 (2009), 506--529.Google ScholarCross Ref
- K. Lohse, C. G. E. Hilderman, K. L. Cheung, S. Tatla, and H. F. Michael Van der Loos. 2014. Virtual reality therapy for adults post-stroke: A systematic review and meta-analysis exploring virtual environments and commercial games in therapy. PLOS One 9, 3 (2014), e93318.Google ScholarCross Ref
- K. Lohse, N. Shirzad, A. Verster, N. Hodges, and H. F. Machiel Van der Loos. 2013. Video games and rehabilitation: Using design principles to enhance engagement in physical therapy. Journal of Neurologic Physical Therapy 37, 4 (2013), 166--175.Google ScholarCross Ref
- N. Maclean, P. Pound, C. Wolfe, and A. Rudd. 2000. Qualitative analysis of stroke patients’ motivation for rehabilitation. Bmj 321, 7268 (2000), 1051--1054.Google Scholar
- S. Mader, S. Natkin, and G. Levieux. 2012. How to analyse therapeutic games: The player/game/therapy model. In Proceedings of the International Conference on Entertainment Computing.Google Scholar
- Wendy L. Magee and Jane W. Davidson. 2002. The effect of music therapy on mood states in neurological patients: A pilot study. Journal of Music Therapy 39, 1 (2002), 20--29.Google ScholarCross Ref
- D. G. Manlapaz, L. A. Silverio, J. A. Navarro, M. F. Ang, M. Regacho, K. A. Canaberal, and R. B. Dela Cruz. 2010. Effectiveness of using nintendo wii in rehabilitation of chronic stroke patients with upper limb hemiparesis. Hong Kong Physiotherapy Journal 28, 1 (2010), 25.Google ScholarCross Ref
- C. McKinstry, R. Allen, M. Courtney, and L. Oke. 2009. Why occupational therapy needs evidence of participation in continuing professional development. Australian Occupational Therapy Journal 56, 2 (2009), 140--143.Google ScholarCross Ref
- H. M. Mentis, A. Komlodi, K. Schrader, M. Phipps, A. Gruber-Baldini, K. Yarbrough, and L. Shulman. 2017. Crafting a view of self-tracking data in the clinical visit. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems.Google Scholar
- H. M. Mentis, R. Shewbridge, S. Powell, M. Armstrong, P. Fishman, and L. Shulman. 2016. Co-interpreting movement with sensors: Assessing Parkinson’s patients’ deep brain stimulation programming. Human-Computer Interaction 31, 3--4 (2016), 227--260.Google ScholarDigital Library
- Matjaz Mihelj, Domen Novak, and Marko Munih. 2009. Emotion-aware system for upper extremity rehabilitation. In Proceedings of the 2009 Virtual Rehabilitation International Conference. IEEE, 160--165.Google ScholarCross Ref
- K. Morrow, C. Docan, G. Burdea, and A. Merians. 2006. Low-cost virtual rehabilitation of the hand for patients post-stroke. In Proceedings of the 2006 International Workshop on Virtual Rehabilitation.Google Scholar
- A. A. Mullick, S. K. Subramanian, and M. F. Levin. 2015. Emerging evidence of the association between cognitive deficits and arm motor recovery after stroke: A meta-analysis. Restorative Neurology and Neuroscience 33, 3 (2015), 389--403.Google ScholarCross Ref
- Sangeetha Nayak, Barbara L. Wheeler, Samuel C. Shiflett, and Sandra Agostinelli. 2000. Effect of music therapy on mood and social interaction among individuals with acute traumatic brain injury and stroke. Rehabilitation Psychology 45, 3 (2000), 274.Google ScholarCross Ref
- NEOFECT Rehabilitation Solutions. 2018. RAPAEL Smart Board | NEOFECT. Retrieved from http://www.neofect.com/en/product/boards.Google Scholar
- E. Norrby and A. L. Bellner. 1995. The helping encounter: Occupational therapists’ perception of therapeutic relationships. Scandinavian Journal of Caring Sciences 9, 1 (1995), 41--46.Google ScholarCross Ref
- G. M. S. Nys, M. J. E. van Zandovoort, P. L. M. de Kort, B. P. W. Jansen, E. H. F. de Haan, and L. J. Kappelle. 2007. Cognitive diorders in acute stroke: Prevalence and clinical determinants. Cerebrovascular Diseases 23, 5--6 (2007), 408--416.Google ScholarCross Ref
- Brandon Oubre, Jean-Francois Daneault, Hee-Tae Jung, Kallie Whritenour, Jose Garcia Vivas Miranda, Joonwoo Park, Taekyeong Ryu, Yangsoo Kim, and Sunghoon Ivan Lee. 2020. Estimating upper-limb impairment level in stroke survivors using wearable inertial sensors and a minimally-burdensome motor task. IEEE Transactions on Neural Systems and Rehabilitation Engineering 28, 3 (2020), 601--611.Google ScholarCross Ref
- J. Park, H. Jung, J.-F. Daneault, S. Park, T. Ryu, Y. Kim, and S. I. Lee. 2018. Effectiveness of the RAPAEL smart board for upper limb therapy in stroke survivors: A pilot controlled trial. In Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.Google Scholar
- Myung-seok Park and Moon-soo Kim. 1992. Communication practices in Korea. Communication Quarterly 40, 4 (1992), 398--404.Google ScholarCross Ref
- T. Park, I. Hwang, U. Lee, S. I. Lee, C. Yoo, Y. Lee, H. Jang, S. P. Choe, S. Park, and J. Song. 2012. ExerLink: Enabling pervasive social exergames with heterogeneous exercise devices. In Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services.Google Scholar
- T. Park, U. Lee, B. Lee, H. Lee, S. Son, S. Song, and J. Song. 2013. ExerSync: Interpersonal synchrony in social exergames. In Proceedings of the 2013 Conference on Computer Supported Cooperative Work Companion.Google Scholar
- S. M. Peloquin. 2003. The therapeutic relationship: Manifestations and challenges in occupational therapy. In Willard and Spackman’s Occupational Therapy, E. B. Crepeau, E. S. Cohn, and B. A. Boyt Schell (Eds.). Lippincott Williams and Wilkins, Philadelphia, PA, 151--170.Google Scholar
- W. Peng, J. Lin, K. Pfeiffer, and B. Winn. 2012. Need satisfaction supportive game feature as motivational determinants: An experimental study of a self-determination theory guided exergame. Media Psychology 15, 2 (2012), 175--196.Google ScholarCross Ref
- M. Pickrell, E. van den Hoven, and B. Bongers. 2017. Exploring in-hospital rehabilitation exercises for stroke patients: Informing interaction design. In Proceedings of the Australian Computer-Human Interaction Conference.Google Scholar
- B. Ploderer, J. Fong, A. Withana, M. Klaic, S. Nair, V. Crocher, F. Vetere, and S. Nanayakkara. 2016. ArmSleeve: A patient monitoring system to support occupational therapists in stroke rehabilitation. In Proceedings of the 2016 ACM Conference on Designing Interactive Systems.Google Scholar
- T. Pohjasvaara, R. Vataja, A. Laeppavouri, M. Kaste, and T. Erkinjuntti. 2001. Depression is an independent predictor of poor long-term functional outcome post-stroke. European Journal of Neurology 8, 4 (2001), 315--319.Google ScholarCross Ref
- G. P. Prigatano. 2015. The importance of the patient’s subjective experience in stroke rehabilitation. Topics in Stroke Rehabilitation 18, 1 (2015), 30--34.Google ScholarCross Ref
- J. O. Prochaska, C. A. Redding, and K. E. Evers. 2015. The transtheoretical model and stages of change. In Health Behavior: Theory, Research, and Practice, K. Glanz (Ed.). Jossey Bass, San Francisco, CA, 125--148.Google Scholar
- Heather Purdie and Steve Baldwin. 1994. Music therapy: Challenging low self-esteem in people with a stroke. Journal of British Music Therapy 8, 2 (1994), 19--24.Google ScholarCross Ref
- M. V. Radomski. 2011. THE ISSUE ISmore than good intentions: Advancing adherence to therapy recommendations. The American Journal of Occupational Therapy 65, 4 (2011), 471--477.Google ScholarCross Ref
- D. Rand, N. Givon, H. Weingarden, A. Nota, and G. Zeilig. 2014. Eliciting upper extremity purposeful movements using video games: A comparison with traditional therapy for stroke rehabilitation. Neurorehabilitation and Neural Repair 28, 8 (2014), 733--739.Google ScholarCross Ref
- D. Rand, R. Kizony, and P. L. Weiss. 2004. Virtual reality rehabilitation for all: Vivid GX versus sony playstation II eyetoy. In Proceedings of the International Conference on Disability, Virtual Reality 8 Associated Technology.Google Scholar
- R. Ranganathan, R. Wang, R. Gebara, and S. Biswas. 2017. Detecting compensatory trunk movements in stroke survivors using a wearable system. In Proceedings of the 2017 Workshop on Wearable Systems and Applications.Google Scholar
- L. G. Richards, N. K. Latham, D. U. Jette, L. Rosenberg, R. J. Smout, and G. DeJong. 2005. Characterizing occupational therapy practice in stroke rehabilitation. Archives of Physical Medicine and Rehabilitation 86, 12 (2005), 51--60.Google ScholarCross Ref
- Jesús Joel Rivas, Felipe Orihuela-Espina, Lorena Palafox, Nadia Berthouze, María del Carmen Lara, Jorge Hernández-Franco, and Enrique Sucar. 2018. Unobtrusive inference of affective states in virtual rehabilitation from upper limb motions: A feasibility study. IEEE Transactions on Affective Computing 11, 3 (2018), 470--481.Google ScholarCross Ref
- R. M. Ryan, C. S. Rigby, and A. Przybylski. 2006. The motivational pull of video games: A self-determination theory approach. Motivation and Emotion 30 (2006), 347--363.Google ScholarCross Ref
- L. R. A. D. Santos, A. A. Carregosa, M. R. Masruha, P. A. D. Santos, M. L. D. S. Coélho, D. D. Ferraz, and N. M. D. S. Ribeiro. 2015. The use of Nintendo wii in the rehabilitation of poststroke patients: A systematic review. Journal of Stroke and Cerebrovascular Diseases 24, 10 (2015), 2298--2305.Google ScholarCross Ref
- K. Sathian, L. J. Buxbaum, L. G. Cohen, J. W. Krakauer, C. E. Lang, M. Corbetta, and S. M. Fitzpatrick. 2011. Neurological principles and rehabilitation of action disorders: Common clinical deficits. Neurorehabilitation and Neural Repair 25, 5 (2011), 21S--32S.Google ScholarCross Ref
- L. Sawaki, A. J. Butler, X. Leng, P. A. Wassenaar, Y. M. Mohammad, S. Blanton, K. Sathian, D. S. Nichols-Larsen, S. L. Wolf, D. C. Good, and G. F. Wittenberg. 2008. Constraint-induced movement therapy results in increased motor map area in subjects 3 to 9 months after stroke. Neurorehabilitation and Neural Repair 22, 5 (2008), 505--515.Google ScholarCross Ref
- Rebecca S. Schaefer. 2014. Auditory rhythmic cueing in movement rehabilitation: Findings and possible mechanisms. Philosophical Transactions of the Royal Society B: Biological Sciences 369, 1658 (2014), 20130402.Google ScholarCross Ref
- M. Schonberger, F. Humleand P. Zeeman, and T. W. Teasdale. 2006. Subjective outcome of brain injury rehabilitation in relation to the therapeutic working alliance, client compliance, and awareness. Brain Injury 20, 12 (2006), 1271--1282.Google ScholarCross Ref
- G. S. Seale, I. M. Berges, K. J. Ottenbacher, and G. V. Ostir. 2010. Change in positive emotion and recovery of functional status following stroke. Rehabilitation Psychology 55, 1 (2010), 33--39.Google ScholarCross Ref
- H. Sin and G. Lee. 2013. Additional virtual reality training using Xbox kinect in stroke survivors with hemiplegia. American Journal of Physical Medicine 8 Rehabilitation 92, 10 (2013), 871--880.Google Scholar
- Aneesha Singh, Stefano Piana, Davide Pollarolo, Gualtiero Volpe, Giovanna Varni, Ana Tajadura-Jiménez, Amanda CdeC Williams, Antonio Camurri, and Nadia Bianchi-Berthouze. 2016. Go-with-the-flow: Tracking, analysis and sonification of movement and breathing to build confidence in activity despite chronic pain. Human--Computer Interaction 31, 3--4 (2016), 335--383.Google ScholarDigital Library
- J. D. Smeddinck, M. Herrlich, and R. Malaka. 2015. Exergames for physiotherapy and rehabilitation: A medium-term situated study of motivational aspects and impact on functional reach. In Proceedings of the 2015 CHI Conference Extended Abstracts on Human Factors in Computing Systems.Google Scholar
- T. L. Snavely. 2014. History and Analysis of eSport Systems. Master’s thesis. The University of Texas at Austin, Texas.Google Scholar
- H. Song, S. Lee, H. Kim, G. Jang, Y. Choi, and D. Yang. 2016. RAPAEL: Wearable technology and serious game for rehabilitation. In Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems.Google Scholar
- L. E. Sucar, F. Oriheula-Espina, R. L. Velazquez, D. J. Reinkensmeyer, R. Leder, and J. Hernández-Franco. 2014. Gesture therapy: An upper limb virtual reality-based motor rehabilitation platform. IEEE Transactions ON Neural Systems AND Rehabilitation Engineering 22, 3 (2014), 634--543.Google ScholarCross Ref
- E. Taub, G. Uswatte, V. W. Mark, and D. M. Morris. 2006. The learned nonuse phenomenon: Implications for rehabilitation. Eura Medicophys 42, 3 (2006), 241--55.Google Scholar
- R. W. Teasell and L. Kalra. 2004. What’s new in stroke rehabilitation. Stroke 35, 2 (2004), 383--385.Google ScholarCross Ref
- Michaelh Thaut, Jamesc Gardiner, Dawn Holmberg, Javan Horwitz, Luanne Kent, Garrett Andrews, Beth Donelan, and Geraldr Mcintosh. 2009. Neurologic music therapy improves executive function and emotional adjustment in traumatic brain injury rehabilitation. Annals of the New York Academy of Sciences 1169, 1 (2009), 406--416.Google ScholarCross Ref
- G. Thielman. 2010. Rehabilitation of reaching poststroke: A randomized pilot investigation of tactile versus auditory feedback for trunk control. Journal of Neurologic Physical Therapy 34, 3 (2010), 138--144.Google ScholarCross Ref
- K. Thomson, A. Pollock, C. Bugge, and M. Brady. 2014. Commercial gaming devices for stroke upper limb rehabilitation: A systematic review. International Journal of Stroke 9, 4 (2014), 479--488.Google ScholarCross Ref
- Andrew K. Treister, Maya N. Hatch, Steven C. Cramer, and Eric Y. Chang. 2017. Demystifying poststroke pain: From etiology to treatment. PM R: The Journal of Injury, Function, and Rehabilitation 9, 1 (2017), 63--75.Google ScholarCross Ref
- J. Tretriluxana, J. Gordon, B. E. Fisher, and C. J. Winstein. 2009. Hemisphere specific impairments in reach-to-grasp control after stroke: Effects of object size. Neurorehabilitation and Neural Repair 23, 7 (2009), 679--691.Google ScholarCross Ref
- B. A. Valdés, A. N. Schneider, and H. F. M. Van der Loos. 2017. Reducing trunk compensation in stroke survivors: A randomized crossover trial comparing visual and force feedback modalities. Archives of Physical Medicine and Rehabilitation 98, 10 (2017), 1932--1940.Google ScholarCross Ref
- F. B. Van Meulen, B. Klaassen, J. Held, J. Reenalda, J. H. Buurke, B.-J. F. Van Beijnum, A. Luft, and P. H. Veltink. 2016. Objective evaluation of the quality of movement in daily life after stroke. Frontiers in Bioengineering and Biotechnology 3, 210 (2016), 1--11.Google ScholarCross Ref
- P. M. van Vliet and G. Wulf. 2006. Extrinsic feedback for motor learning after stroke: What is the evidence? Disability and Rehabilitation 28, 13--14 (2006), 831--840.Google ScholarCross Ref
- Frederike van Wijck, Don Knox, Colin Dodds, Gianna Cassidy, Gillian Alexander, and Raymond MacDonald. 2012. Making music after stroke: Using musical activities to enhance arm function. Annals of the New York Academy of Sciences 1252, 1 (2012), 305--311.Google ScholarCross Ref
- P. Wang, R. K. C. Koh, C. G. Boucharenc, and C. Yen. 2016. Lights out: An interactive tangible game for training of post-stroke reaching. In Proceedings of the CHI Conference Extended Abstracts on Human Factors in Computing Systems.Google Scholar
- A. Welch and P. Dawson. 2005. Closing the gap: Collaborative learning as a strategy to embed evidence within occupational therapy practice. Journal of Evaluation in Clinical Practice 12, 2 (2005), 227--238.Google ScholarCross Ref
- C. J. Winsten. 1991. Knowledge of results and motor learning--implications of physical therapy. Physical Therapy 71, 2 (1991), 140--149.Google ScholarCross Ref
- C. T. Wittek, T. R. Finserås, S. Pallesen, R. A. Mentzoni, D. Hanss, M. D. Griffiths, and H. Molde. 2016. Prevalence and predictors of video game addiction: A study based on a national representative sample of gamers. International Journal of Mental Health Addiction 14, 5 (2016), 672--686.Google ScholarCross Ref
- S. L. Wolf, P. A. Catlin, M. Ellis, A. L. Archer, B. Morgan, and A. Piacentino. 2001. Assessing wolf motor function test as outcome measure for research in patients after stroke. Stroke 32, 7 (2001), 1635--1639.Google ScholarCross Ref
- G. Yavuzer, A. Senel, M. B. Atay, and H. J. Stam. 2008. “Playstation eyetoy games” improve upper extremity-related motor functioning in subacute stroke: A randomized controlled clinical trial. European Journal of Physical and Rehabilitation Medicine 44, 3 (2008), 237--244.Google Scholar
- J. Yim and T. C. Graham. 2007. Using games to increase exercise motivation. In Proceedings of the 2007 Conference on Future Play.Google Scholar
- H. F. Yu, N. W. Guo, H. Y. Chen, and C. P. Liang. 1993. Factors affecting stroke patients’ motivations for rehabilitation. The Kaohsiung Journal of Medical Sciences 9, 5 (1993), 305--316.Google Scholar
- A. S. Zigmond and R. P. Snaith. 1983. The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica 67, 6 (1983), 361--370.Google ScholarCross Ref
Index Terms
- Rehabilitation Games in Real-World Clinical Settings: Practices, Challenges, and Opportunities
Recommendations
Serious Games for Upper Limb Rehabilitation Following Stroke
VS-GAMES '09: Proceedings of the 2009 Conference in Games and Virtual Worlds for Serious ApplicationsStroke is a leading cause of severe physical disability, causing a range of impairments. Frequently stroke survivors are left with partial paralysis on one side of the body and movement can be severely restricted in the affected side’s hand and arm. We ...
Optimising engagement for stroke rehabilitation using serious games
Special Issue: Serious Games and Virtual WorldsEffective stroke rehabilitation must be early, intensive and repetitive, which can lead to problems with patient motivation and engagement. The design of video games, often associated with good user engagement, may offer insights into how more effective ...
Validation of trunk kinematics analysis through serious games rehabilitation exercises using the Kinect™ sensor
REHAB '16: Proceedings of the 4th Workshop on ICTs for improving Patients Rehabilitation Research TechniquesLow Back Pain (LBP) is one of the most frequent musculoskeletal pathology. There is, currently, a lack of affordable and easy to use assessment tool for these patients. For the moment such kind of evaluation tool are limited to gait analysis center. ...
Comments