Weitere Artikel dieser Ausgabe durch Wischen aufrufen
The online version of this article (doi:10.1007/s10514-016-9568-y) contains supplementary material, which is available to authorized users.
This is one of several papers published in Autonomous Robots comprising the “Special Issue on Assistive and Rehabilitation Robotics”.
Intelligent powered wheelchairs can increase mobility and independence for older adults with cognitive impairment by providing collision avoidance and navigation support. The level and/or type of control desired by this target population during intelligent wheelchair use have not been previously explored. In this paper, we present user attitudes, needs, and preferences in a study conducted with a mock intelligent wheelchair offering three different modes of user control. Users wanted to be in the loop during wheelchair operation and/or high-level decision making, and also provided specific contexts where an autonomous wheelchair would be helpful. Participants identified benefits of and concerns with intelligent wheelchairs, along with desired features and functionality. The paper presents the implication of these findings and provides specific recommendations for future intelligent wheelchair development and deployment.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Adhikari, B. (2014). A single subject participatory action design method for powered wheelchairs providing automated back-in parking assistance to cognitively impaired older adults: A pilot study. Vancouver: University of British Columbia.
Baltodano, S., Sibi, S., Martelaro, N., Gowda, N., & Ju, W. (2015). RRADS: real road autonomous driving simulation. In Proceedings of the 10th annual ACM/IEEE international conference on human-robot interaction extended abstracts (p. 283). New York, NY, USA: ACM. doi: 10.1145/2701973.2702099.
Borson, S., & Raskind, M. A. (1997). Clinical features and pharmacologic treatment of behavioral symptoms of Alzheimer’s disease. Neurology, 48(5 Suppl 6), S17–24. CrossRef
Brandt, A., Iwarsson, S., & Stahle, A. (2004). Older people’s use of powered wheelchairs for activity and participation. Journal of Rehabilitation Medicine, 36(2), 70–77. CrossRef
Brighton, C. (2003). Rules of the road. Rehab Managment, 16(3), 18–21.
Dawson, D. R., Chan, R., & Kaiserman, E. (1994). Development of the power-mobility indoor driving assessment for residents of long term care facilities. Canadian Journal of Occupational Therapy, 61(5), 269–276. CrossRef
Demers, L., Weiss-Lambrou, R., & Ska, B. (2002). The Quebec User Evaluation of Satisfaction with Assistive Technology (QUEST 2.0): An overview and recent progress. Technology and Disability, 14, 101–105.
Fehr, L., Langbein, W. E., & Skaar, S. B. (2000). Adequacy of power wheelchair control interfaces for persons with severe disabilities: A clinical survey. Journal of Rehabilitation Research and Development, 37(3), 353–360.
Foley, G., Zambalde, E. P., Viswanathan, P., & Mihailidis, A. (2014). A table-docking feature for intelligent powered wheelchairs: defining user needs. In: Toronto Rehabilitation Research Day, 2014 (Vol. Toronto). Chicago: IEEE.
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. CrossRef
Hardy, P. (2004). Examining the barriers: Powered wheelchair mobility for people with cognitive and/or sensory impairments. In ARATA 2004 National Conference, Melbourne, Australia.
Hart, S. G., & Staveland, L. E. (1998). Development of the NASA-TLX (Task Load Index): Results of empirical and theoretical research, Meshkati (N ed., pp. 239–250). Amsterdam: North Holland Press.
Kairy, D., Rushton, P. W., Archambault, P., Pituch, E., Torkia, C., El Fathi, A., et al. (2014). Exploring powered wheelchair users and their caregivers’ perspectives on potential intelligent power wheelchair use: a qualitative study. International Journal of Environmental Research and Public Health, 11(2), 2244–2261. doi: 10.3390/ijerph110202244. CrossRef
Lewis, C. H. (1982). Using the “thinking Aloud” method in cognitive interface design. New York: IBM T.J. Watson Research Center.
Li, Q., Chen, W., & Wang, J. (2011). Dynamic shared control for humanwheelchair cooperation. In IEEE international conference on robotics and automation (ICRA) (pp. 4278–4283).
Lo, J., Pham, P., Viswanathan, P., & Mihailidis, A. (2014). Intelligent wheelchairs: Training & assessment. In Canadian Association of Occupational Therapists annual conference, Fredericton, NB.
Marcantonio, E. R. (2000). Dementia. In M. H. Beers, T. V. Jones, M. Berkwits, J. L. Kaplan, & R. Porter (Eds.), The merck manual of geriatrics (3rd ed., pp. 357–371). Whitehouse Station, NJ: Merck & Co., Inc.
Masson, F., Maurette, P., Salmi, L. R., Dartigues, J. F., Vecsey, J., Destaillats, J. M., et al. (1996). Prevalence of impairments 5 years after a head injury, and their relationship with disabilities and outcome. Brain Injury, 10(7), 487–497. CrossRef
Mitchell, I. M., Viswanathan, P., Adhikari, B., Rothfels, E., & Mackworth, A. K. (2014). Shared control policies for safe wheelchair navigation of elderly adults with cognitive and mobility impairments: Designing a wizard of oz study. In Proceedings of the American Controls Conference, Portland, OR (pp. 4087-4094).
Morris, J. N., Fries, B. E., Mehr, D. R., Hawes, C., Phillips, C., Mor, V., et al. (1994). MDS cognitive performance scale. Journal of Gerontology, 49(4), M174–182. CrossRef
Mortenson, W. B., Miller, W. C., Boily, J., Steele, B., Odell, L., Crawford, E. M., et al. (2005). Perceptions of power mobility use and safety within residential facilities. Canadian Journal of Occupational Therapy, 72(3), 142–152. CrossRef
Mosimann, U. P., Mather, G., Wesnes, K. A., O’Brien, J. T., Burn, D. J., & McKeith, I. G. (2004). Visual perception in Parkinson disease dementia and dementia with Lewy bodies. Neurology, 63(11), 2091–2096. CrossRef
Nasreddine, Z. S., Phillips, N. A., Bedirian, V., Charbonneau, S., Whitehead, V., Collin, I., et al. (2005). The montreal cognitive assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53(4), 695–699. doi: 10.1111/j.1532-5415.2005.53221.x. CrossRef
Parikh, S. P., Grassi, V, Jr., Kumar, V., & Okamoto, Jun, Jr. (2007). Integrating human inputs with autonomous behaviors on an intelligent wheelchair platform. IEEE Intelligent Systems, 22(2), 33–41. CrossRef
Park, J. J. & Kuipers, B. (2015). Feedback motion planning via non-holonomic RRT* for mobile robots. IEEE/RSJ International conference on intelligent robots and systems (IROS-15).
Patton, M. Q. (2002). Qualitative research and evaluation methods. London: Sage Publications Inc.
Peinado, G., Urdiales, C., Peula, J. M., Fernandez-Carmona, M., Annicchiarico, R.,&Sandoval, F., et al. (2011). Navigation skills based profiling for collaborative wheelchair control. In IEEE International Conference on Robotics and Automation (ICRA) (pp. 2229-2234).
Pineau, J., Moghaddam, A. K., Yuen, H. K., Archambault, P. S., Routhier, F., Michaud, F., et al. (2014). Automatic detection and classification of unsafe events during power wheelchair use. IEEE Journal of Translational Engineering in Health and Medicine (JTEHM), 2, 1–9. doi: 10.1109/JTEHM.2014.2365773. CrossRef
Ricker, J. H., Keenan, P. A., & Jacobson, M. W. (1994). Visuoperceptual-spatial ability and visual memory in vascular dementia and dementia of the Alzheimer type. Neuropsychologia, 32(10), 1287–1296. CrossRef
Riek, L. D. (2012). Wizard of oz studies in hri: a systematic review and new reporting guidelines. Journal of Human-Robot Interaction, 1(1).
Rushton, P., Mortenson, W. B., Viswanathan, P., Wang, R. H., & Hurd Clark, L. (2014). Intelligent power wheelchairs for residents in long-term care facilities: Potential users’ experiences and perceptions. In Rehabilitation Engineering and Assistive Technology Society of North America, Indianapolis, IN.
Rushton, P. W., Kairy, D., Archambault, P., Pituch, E., Torkia, C., El Fathi, A., et al. (2015). The potential impact of intelligent power wheelchair use on social participation: Perspectives of users, caregivers and clinicians. Disability and Rehabilitation: Assistive Technology, 10(3), 191–197. doi: 10.3109/17483107.2014.907366. CrossRef
Simpson, R. C. (2005). Smart wheelchairs: A literature review. Journal of Rehabilitation Research and Development, 42(4), 423–436. CrossRef
Smith, E. M., Miller, W. C., Mortenson, W. B., Mihailidis, A., Viswanathan, P., & Lo, J., et al. (2014). Interface design for shared control tele-operated power wheelchair technology. In 8th International convention on rehabilitation engineering & assistive technology (i-CREATE), Singapore.
Strubel, D., & Corti, M. (2008). Wandering in dementia. Psychologie & Neuropsychiatrie du Vieillissement, 6(4), 259–264. doi: 10.1684/pnv.2008.0147.
Urdiales, C., Peula, J. M., Fdez-Carmona, M., Barrué, C., Pérez, E. J., Sánchez-Tato, I., et al. (2011). A new multi-criteria optimization strategy for shared control in wheelchair assisted navigation. Autonomous Robots, 30(2), 179–197. CrossRef
Viswanathan, P., Little, J., Mackworth, A., & Mihailidis, A. (2011). Navigation and obstacle avoidance help (NOAH) for older adults with cognitive impairment: A pilot study. In ACM SIGACCESS conference on computers and accessibility (ASSETS), Dundee, Scotland.
Viswanathan, P., Little, J. J., Mackworth, A. K., How, T. V., Wang, R. H., & Mihailidis, A. (2013a). Intelligent wheelchairs for cognitively-impaired older adults in Long-term care: A review. In Rehabilitation engineering and assistive technology society of North America, Bellevue, WA.
Viswanathan, P., Wang, R. H., & Mihailidis, A. (2013b). Wizard-of-Oz and mixed-methods studies to inform intelligent wheelchair design forolder adults with dementia. In Association for the advancement of assistive technology in Europe, Vilamoura, Portugal.
Wang, R. H. (2011). Enabling power wheelchair mobility with long-term care home residents with cognitive impairments. Toronto: University of Toronto.
Wang, R. H., Mihailidis, A., Dutta, T., & Fernie, G. R. (2011). Usability testing of multimodal feedback interface and simulated collision-avoidance power wheelchair for long-term-care home residents with cognitive impairments. Journal of Rehabilitation Research and Development, 48(7), 801–822. CrossRef
Wei, Z., Chen, W., & Wang, J. (2012). 3d semantic map-based shared control for smart wheelchair. In Intelligent robotics and applications (pp. 41–51).
Wind, A. W., Schellevis, F. G., Van Staveren, G., Scholten, R. P., Jonker, C., & Van Eijk, J. T. (1997). Limitations of the mini-mental state examination in diagnosing dementia in general practice. International Journal of Geriatric Psychiatry, 12(1), 101–108. CrossRef
Wood, L. E. (1997). Semi-structured interviewing for user-centered design. Interactions, 4(2), 48–61. CrossRef
Zeng, Q., Burdet, E., & Teo, C. L. (2008). User evaluation of a collaborative wheelchair system. In Proceedings of IEEE Engineering in Medicine and Biology Society Conference (pp. 1956–1960). doi: 10.1109/iembs.2008.4649571.
- Intelligent wheelchair control strategies for older adults with cognitive impairment: user attitudes, needs, and preferences
Ellen P. Zambalde
Julianne L. Graham
Rosalie H. Wang
Alan K. Mackworth
William C. Miller
Ian M. Mitchell
- Springer US