Training wheelchair navigation in immersive virtual environments for patients with spinal cord injury – end-user input to design an effective system

References

• Bickenbach J, Officer A, Shakespeare T, editors, et al. International perspectives on spinal cord injury. Geneva: World Health Organization; 2013.
   Google Scholar
• Wyndaele M, Wyndaele J-J. Incidence, prevalence and epidemiology of spinal cord injury: what learns a worldwide literature survey? Spinal Cord. 2006;44:523–529.
   PubMed Web of Science ®Google Scholar
• Archambault PS, Tremblay S, Cachecho S, et al. Driving performance in a power wheelchair simulator. Disabil Rehabil Assist Technol. 2012;7:226–233.
   PubMedGoogle Scholar
• Biering-Sorensen F, Hansen RB, Biering-Sorensen J. Mobility aids and transport possibilities 10–45 years after spinal cord injury. Spinal Cord. 2004;42:699–706.
   PubMed Web of Science ®Google Scholar
• Dieruf K, Ewer L, Boninger D. The natural-fit handrim: factors related to improvement in symptoms and function in wheelchair users. J Spinal Cord Med. 2008;31:578–585.
   PubMed Web of Science ®Google Scholar
• Torkia C, Reid D, Korner-Bitensky N, et al. Power wheelchair driving challenges in the community: a users’ perspective. Disabi Rehabil Assist Technol. 2014;10:211–215.
   PubMedGoogle Scholar
• Gaal RP, Rebholtz N, Hotchkiss RD, et al. Wheelchair rider injuries: causes and consequences for wheelchair design and selection. J Rehabil Res Dev. 1997;34:58–71.
   PubMed Web of Science ®Google Scholar
• Mortenson WB, Miller WC, Boily J, et al. Perceptions of power mobility use and safety within residential facilities. Can J Occup Ther. 2005;72:142–152.
   PubMedGoogle Scholar
• Mountain AD, Smith C, Kirby RL. Are wheelchair-skills assessment and training relevant for long-standing wheelchair users? Two case reports. Disabil Rehabil Assist Technol. 2010;5:230–233.
   PubMedGoogle Scholar
• Mountain AD, Kirby RL, Eskes GA, et al. Ability of people with stroke to learn powered wheelchair skills: a pilot study. Arch Phys Med Rehabil. 2010;91:596–601.
   PubMed Web of Science ®Google Scholar
• Kirby RL, Miller WC, Routhier F, et al. Effectiveness of a wheelchair skills training program for powered wheelchair users: a randomized controlled trial. Arch Phys Med Rehabil. 2015;96:2017–2026.e3.
   PubMed Web of Science ®Google Scholar
• Chaves ES, Boninger ML, Cooper R, et al. Assessing the influence of wheelchair technology on perception of participation in spinal cord injury. Arch Phys Med Rehabil. 2004;85:1854–1858.
   PubMed Web of Science ®Google Scholar
• Sakakibara BM, Miller WC, Routhier F, et al. Association between self-efficacy and participation in community-dwelling manual wheelchair users aged 50 years or older. Phys Ther. 2014;94:664–674.
   PubMed Web of Science ®Google Scholar
• Weiss PLT, Tirosh E, Fehlings D. Role of virtual reality for cerebral palsy management. J Child Neurol. 2014;29:1119–1124.
   PubMed Web of Science ®Google Scholar
• Harrison A, Derwent G, Enticknap A, et al. The role of virtual reality technology in the assessment and training of inexperienced powered wheelchair users. Disabil Rehabil. 2002;24:599–606.
   PubMed Web of Science ®Google Scholar
• Erren-Wolters CV, van Dijk H, de Kort AC, et al. Virtual reality for mobility devices: training applications and clinical results: a review. Int J Rehabil Res. 2007;30:91–96.
   PubMed Web of Science ®Google Scholar
• Laver KE, George S, Thomas S, et al. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2011;9:CD008349.
   PubMed Web of Science ®Google Scholar
• Holden MK. Virtual environments for motor rehabilitation: review. Cyberpsychol Behav. 2005;8:187–211.
   PubMedGoogle Scholar
• Hughes A-M, Burridge JH, Demain SH, et al. Translation of evidence-based assistive technologies into stroke rehabilitation: users’ perceptions of the barriers and opportunities. BMC Health Serv Res. 2014;14:124. DOI: 10.1186/1472-6963-14-124.
   Web of Science ®Google Scholar
• Wooding S, Hanney S, Pollitt A, et al. Understanding factors associated with the translation of cardiovascular research: a multinational case study approach. Implement Sci. 2014;9:47. DOI: 10.1186/1748-5908-9-47.
   PubMed Web of Science ®Google Scholar
• Glegg SMN, Tatla SK, Holsti L. The GestureTek virtual reality system in rehabilitation: a scoping review. Disabil Rehabil Assist Technol. 2014;9:89–111.
   PubMedGoogle Scholar
• Walker MF, Fisher RJ, Korner-Bitensky N, et al. From what we know to what we do: translating stroke rehabilitation research into practice. Int J Stroke. 2013;8:11–17.
   PubMed Web of Science ®Google Scholar
• Whiteneck G, Gassaway J, Dijkers M, et al. The SCIRehab project: treatment time spent in SCI rehabilitation. Inpatient treatment time across disciplines in spinal cord injury rehabilitation. J Spinal Cord Med. 2011;34:133–148.
   PubMed Web of Science ®Google Scholar
• Jang HJ, Park J, Shin H-I. Length of hospital stay in patients with spinal cord injury. Ann Rehabil Med. 2011;35:798–806.
   PubMedGoogle Scholar
• Hammell KW. Experiences of rehabilitation following spinal cord injury: a meta-synthesis of qualitative findings. Spinal Cord. 2007;45:260–274.
   PubMed Web of Science ®Google Scholar
• Cott CA. Client-centred rehabilitation: client perspectives. Disabil Rehabil. 2004;26:1411–1422.
   PubMed Web of Science ®Google Scholar
• Thomas DR. A general inductive approach for analyzing qualitative evaluation data. Am J Eval. 2006;27:237–246.
   Web of Science ®Google Scholar
• Sinnott A, Cassidy B, Nunnerley J, et al. Commentary on community participation following spinal cord injury in New Zealand. Top Spinal Cord Inj Rehabil. 2010;15:63–71.
   Google Scholar
• Patton MQ. Qualitative research and evaluation methods. Thousand Oaks (CA): Sage; 2002.
   Google Scholar
• Creswell JW. Research design qualitative, quantitative and mixed methods approaches. Thousand Oaks (CA): Sage; 2009.
   Google Scholar
• Webster JS, McFarland PT, Rapport LJ, et al. Computer-assisted training for improving wheelchair mobility in unilateral neglect patients. Arch Phys Med Rehabil. 2001;82:769–775.
   PubMed Web of Science ®Google Scholar
• Cooper RA, Spaeth DM, Jones DK, et al. Comparison of virtual and real electric powered wheelchair driving using a position sensing joystick and an isometric joystick. Med Eng Phys. 2002;24:703–708.
   PubMed Web of Science ®Google Scholar
• Hasdai A, Jessel AS, Weiss PL. Use of a computer simulator for training children with disabilities in the operation of a powered wheelchair. Am J Occup Ther. 1998;52:215–220.
   PubMed Web of Science ®Google Scholar
• Charness N, Boot WR. Aging and information technology use: potential and barriers. Curr Direct Psychol Sci. 2009;18:253–258.
   Web of Science ®Google Scholar
• Wu Y-H, Damnée S, Kerhervé H, et al. Bridging the digital divide in older adults: a study from an initiative to inform older adults about new technologies. Clin Intervent Aging 2015;10:193–201.
   PubMed Web of Science ®Google Scholar
• Katz N, Ring H, Naveh Y, et al. Interactive virtual environment training for safe street crossing of right hemisphere stroke patients with unilateral spatial neglect. Disabil Rehabil. 2005;29:177–181.
   Google Scholar
• Nunnerley JL, Hay-Smith EJ, Dean SG. Leaving a spinal unit and returning to the wider community: an interpretative phenomenological analysis. Disabil Rehabil. 2013;35:1164–1173.
   PubMed Web of Science ®Google Scholar
• Carpenter C. The experience of spinal cord injury: the individual’s perspective-implications for rehabilitation practice. Phys Ther. 1994;74:614–629.
   PubMed Web of Science ®Google Scholar
• Lemay V, Routhier F, Noreau L, et al. Relationships between wheelchair skills, wheelchair mobility and level of injury in individuals with spinal cord injury. Spinal Cord. 2012;50:37–41.
   PubMed Web of Science ®Google Scholar
• Kilkens OJE, Post MWM, Dallmeijer AJ, et al. Relationship between manual wheelchair skill performance and participation of persons with spinal cord injuries 1 year after discharge from inpatient rehabilitation. J Rehabil Res Dev. 2005;42:65–74.
   PubMed Web of Science ®Google Scholar
• Hosseini MS, Oyster ML, Kirby RL, et al. Manual wheelchair skills capacity predicts quality of life and community integration in persons with spinal cord injury. Arch Phys Med Rehabil. 2012;93:2237–2243.
   PubMed Web of Science ®Google Scholar
• Cooper RA, Ferretti E, Oyster M, et al. The relationship between wheelchair mobility patterns and community participation among individuals with spinal cord injury. Assist Technol. 2011;23:177–183.
   Web of Science ®Google Scholar
• Stanney K, Salvendy G. Aftereffects and sense of presence in virtual environments: formulation of a research and development agenda. Int J Hum Comp Interact. 1998;10:135–187.
   PubMed Web of Science ®Google Scholar
• Reason JT. Motion sickness adaptation: a neural mismatch model. J Royal Soc Med. 1978;71:819–829.
   PubMed Web of Science ®Google Scholar
• Reason JT, Brand JJ. Motion sickness. New York: Academic Press; 1975.
   Google Scholar
• Stanney KM, Hale KS, Nahmens I, et al. What to expect from immersive virtual environment exposure: influences of gender, body mass index, and past experience. Hum Factor. 2003;45:504–520.
   PubMed Web of Science ®Google Scholar
• Treisman M. Motion sickness: an evolutionary hypothesis. Science. 1977;197:493–495.
   PubMed Web of Science ®Google Scholar
• Riccio G, Stoffregen T. An ecological theory of motion sickness and postural instability. Ecol Psychol. 1991;3:195–240.
   Google Scholar