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Cognitive Function and Assistive Technology for Cognition: A Systematic Review

Published online by Cambridge University Press:  12 December 2011

Alex Gillespie ,
Catherine Best  and
Brian O'Neill
Alex Gillespie
Affiliation:
Institute of Social Psychology, London School of Economics, London, United Kingdom
Catherine Best
Affiliation:
School of Natural Sciences, University of Stirling, Stirling, United Kingdom
Brian O'Neill*
Affiliation:
School of Natural Sciences, University of Stirling, Stirling, United Kingdom Graham Anderson House, Brain Injury Rehabilitation Trust, Glasgow, United Kingdom
*
Correspondence and reprint requests to: Brian O'Neill, Brain Injury Rehabilitation Trust, Graham Anderson House, 1161 Springburn Road, Glasgow G21 1 UU. E-mail: [email protected]
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Abstract

The relationship between assistive technology for cognition (ATC) and cognitive function was examined using a systematic review. A literature search identified 89 publications reporting 91 studies of an ATC intervention in a clinical population. The WHO International Classification of Functioning, Disability and Health (ICF) was used to categorize the cognitive domains being assisted and the tasks being performed. Results show that ATC have been used to effectively support cognitive functions relating to attention, calculation, emotion, experience of self, higher level cognitive functions (planning and time management) and memory. The review makes three contributions: (1) It reviews existing ATC in terms of cognitive function, thus providing a framework for ATC prescription on the basis of a profile of cognitive deficits, (2) it introduces a new classification of ATC based on cognitive function, and (3) it identifies areas for future ATC research and development. (JINS, 2012, 18, 1–19)

Keywords

Self-help devicesDeliriumDementiaAmnesticCognitive disordersNeuropsychologyReviewMemory disordersRehabilitation
Type
Critical Review
Information
Journal of the International Neuropsychological Society , Volume 18 , Issue 1 , January 2012 , pp. 1 - 19
Copyright
Copyright © The International Neuropsychological Society 2011

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References

Alm, N., Astell, A., Ellis, M., Dye, R., Gowans, G., Campbell, J. (2004). A cognitive prosthesis and communication support for people with dementia. Neuropsychological Rehabilitation, 14, 117–134. doi:10.1080/096020 10343000 147CrossRefGoogle Scholar
Arai, L., Britten, N., Popay, J., Roberts, H., Petticrew, M., Rodgers, M., Sowden, A. (2007). Testing methodological developments in the conduct of narrative synthesis: A demonstration review of research on the implementation of smoke alarm interventions. Evidence & Policy, 3, 361–383. doi:10.1332/174426407781738029CrossRefGoogle Scholar
Aunger, R. (2010). Types of technology. Technological Forecasting and Social Change, 77, 762–782.CrossRefGoogle Scholar
Baltes, P.B. (2003). On the incomplete architecture of human ontogeny: Selection, optimization, and compensation as foundation of developmental theory. In U.M. Staudinger & U. Lindenberger (Eds.), Understanding human development: Dialogues with lifespan psychology (pp. 17–43). Boston: Kluwer.CrossRefGoogle Scholar
Bauer, S.M., Elsaesser, L.-J., Arthanat, S. (2011). Assistive technology device classification based upon the World Health Organization's, International Classification of Functioning, Disability and Health (ICF). Disability & Rehabilitation. Assistive Technology, 6, 243–259. doi:10.3109/17483107.2010.529631CrossRefGoogle ScholarPubMed
Bergman, M.M. (2002). The benefits of a cognitive orthotic in brain injury rehabilitation. Journal of Head Trauma Rehabilitation, 17, 45–51.CrossRefGoogle ScholarPubMed
Berry, E., Kapur, N., Williams, L., Hodges, S., Watson, P., Smyth, G., Wood, K. (2007). The use of a wearable camera, SenseCam, as a pictorial diary to improve autobiographical memory in a patient with limbic encephalitis: A preliminary report. Neuropsychological Rehabilitation, 17, 582–601. doi:10.1080/09602010601029780CrossRefGoogle Scholar
Beukelman, D.R., Fager, S., Ball, L., Dietz, A. (2007). AAC for adults with acquired neurological conditions: A review. Augmentative and Alternative Communication, 23, 230–242. doi:10.1080/07434610701553668CrossRefGoogle ScholarPubMed
Bharucha, A.J., Anand, V., Forlizzi, J., Dew, M.A., Reynolds, C.F., Stevens, S., Wactlar, H. (2009). Intelligent assistive technology applications to dementia care: Current capabilities, limitations, and future challenges. The American Journal of Geriatric Psychiatry, 17, 88–104. doi:10.1097/JGP.0b013e318187dde5CrossRefGoogle ScholarPubMed
Boman, I.-L., Tham, K., Granqvist, A., Bartfai, A., Hemmingsson, H. (2007). Using electronic aids to daily living after acquired brain injury: A study of the learning process and the usability. Disability and Rehabilitation. Assistive Technology, 2, 23–33. doi:10.1080/17483100600856213CrossRefGoogle ScholarPubMed
Carmien, S. (2005). End user programming and context responsiveness in handheld prompting systems for persons with cognitive disabilities and caregivers. In Proceedings of CHI'05 conference on human factors in computing systems (pp. 1252–1255). Portland: Oregon. doi:10.1145/1056808.1056889Google Scholar
Carswell, W., McCullagh, P.J., Augusto, J.C., Martin, S., Mulvenna, M.D., Zheng, H., Jeffers, W.P. (2009). A review of the role of assistive technology for people with dementia in the hours of darkness. Technology and Health Care, 17(4): 281–304.CrossRefGoogle ScholarPubMed
Chang, Y.J., Tsai, S.K., Wang, T.Y. (2008). A context aware handheld wayfinding system for individuals with cognitive impairments. In Proceedings of the 10th international ACM SIGACCESS conference on computers and accessibility (pp. 27–34). New York: Association for Computing Machinery. doi:10.1145/1414471.1414479CrossRefGoogle Scholar
Cihak, D.F., Kessler, K.B., Alberto, P.A. (2008). Use of a handheld prompting system to transition independently through vocational tasks for students with moderate and severe intellectual disabilities. Education and Training in Developmental Disabilities, 43, 102–110.Google Scholar
Clark, A. (2003). Natural-born cyborgs: Minds, technologies, and the future of human intelligence. Oxford: Oxford University Press.Google Scholar
Cohene, T., Baecker, R., Marziali, E. (2005). Designing interactive life story multimedia for a family affected by Alzheimer's disease: A case study. CHI'05 extended abstracts on human factors in computing systems (pp. 1300–1303). New York: Association for Computing Machinery. doi:10.1145/1056808.1056901CrossRefGoogle Scholar
Cole, E. (1999). Cognitive prosthetics: An overview to a method of treatment. Neurorehabilitation, 12, 39–51.CrossRefGoogle Scholar
Cole, E., Dehdashti, P., Petti, L., Angert, M. (1994). Design and outcomes of computer based cognitive prosthetics for brain injury: A field study of three subjects. Neurorehabilitation, 4, 174–186.CrossRefGoogle ScholarPubMed
Cornish, F., Gillespie, A. (2009). A pragmatist approach to the problem of knowledge in health psychology. Journal of Health Psychology, 14, 800–809.CrossRefGoogle Scholar
Crepeau, F., Scherzer, P. (1993). Predictors and indicators of work status after traumatic brain injury: A meta-analysis. Neuropsychological Rehabilitation, 3, 5–35.CrossRefGoogle Scholar
Culley, C., Evans, J.J. (2010). SMS text messaging as a means of increasing recall of therapy goals in brain injury rehabilitation: A single-blind within-subjects trial. Neuropsychological Rehabilitation, 20, 103–119. doi:10.1080/09602010902906926CrossRefGoogle ScholarPubMed
Damasio, A.R., Tranel, D., Damasio, H. (1990). Face agnosia and the neural substrates of memory. Annual Review of Neuroscience, 13, 89–109. doi:10.1146/annurev.ne.13.030190.000513CrossRefGoogle ScholarPubMed
Damianakis, T., Crete-Nishihata, M., Smith, K.L., Baecker, R.M., Marziali, E. (2010). The psychosocial impacts of multimedia biographies on persons with cognitive impairments. The Gerontologist, 50, 23–35. doi:10.1093/geront/gnp104CrossRefGoogle ScholarPubMed
Davies, D.K., Stock, S.E., Wehmeyer, M.L. (2002). Enhancing independent task performance for individuals with mental retardation through use of a handheld self-directed visual and audio prompting system. Education and Training in Mental Retardation and Developmental Disabilities, 37, 209–218.Google Scholar
Disseldorp, B., Chambers, D. (2002). Independent access: Which students might benefit from a talking computer? In S. McNamara and E. Stacey (Eds.), Untangling the web: Establishing learning links. Proceedings ASET Conference. Melbourne: Australia.Google Scholar
el Kaliouby, R., Robinson, P. (2005). The emotional hearing aid: An assistive tool for children with Asperger syndrome. Universal Access in the Information Society, 4(2), 121–134. doi:10.1007/s10209-005-0119-0CrossRefGoogle Scholar
Evans, J.J., Emslie, H., Wilson, B.A. (1998). External cueing systems in the rehabilitation of executive impairments of action. Journal of the International Neuropsychological Society, 4, 399–408.CrossRefGoogle ScholarPubMed
Feder, R. (1982). Auditory hallucinations treated by radio headphones. American Journal of Psychiatry, 139, 1188–1190.Google ScholarPubMed
Ferguson, H., Myles, B., Hagiwara, T. (2005). Using a personal digital assistant to enhance the independence of an adolescent with Asperger syndrome. Education and Training in Developmental Disabilities, 40, 60–67.Google Scholar
Ferreras, A., Belda, J.M., Barberà, R., Poveda, R., Urra, M., García, N., Valero, M. (2010). PDA software aimed at improving workplace adaptation for people with cognitive disabilities. ICCHP'10 Proceedings of the 12th International Conference on Computers Helping People with Special Needs, 13–20.CrossRefGoogle Scholar
Fish, J., Evans, J.J., Nimmo, M., Martin, E., Kersel, D., Bateman, A., Manly, T. (2007). Rehabilitation of executive dysfunction following brain injury: “Content-free” cueing improves everyday prospective memory performance. Neuropsychologia, 45, 1318–1330. doi:10.1016/j.neuropsychologia.2006.09.015CrossRefGoogle ScholarPubMed
Fish, J., Manly, T., Wilson, B.A. (2008). Long-term compensatory treatment of organizational deficits in a patient with bilateral frontal lobe damage. Journal of the International Neuropsychological Society, 14, 154–163. doi:10.1017/S1355617708080120CrossRefGoogle Scholar
Flannery, M.A., Butterbaugh, G.J., Rice, D.A., Rice, J.C. (1997). Reminding technology for prospective memory disability: A case study. Pediatric Rehabilitation, 1, 239–244.CrossRefGoogle ScholarPubMed
Fodor, J. (1983). The modularity of mind. Cambridge, MA: MIT Press.CrossRefGoogle Scholar
Fowler, R., Hart, J., Sheehan, M. (1972). A prosthetic memory: An application of the prosthetic environment concept. Rehabilitation Counseling Bulletin, 15, 80–85.Google Scholar
Furniss, F., Ward, A., Lancioni, G., Rocha, N., Cunha, B., Seedhouse, P., Waddell, N. (1999). A palmtop-based job aid for workers with severe intellectual disabilities. Technology and Disability, 10(1), 53–67.CrossRefGoogle Scholar
Galski, T., Bruno, R., Zorowitz, R., Walker, J. (1993). Predicting length of stay, functional outcome, and aftercare in the rehabilitation of stroke patients. The dominant role of higher-order cognition. Stroke, 24, 1794–1800.CrossRefGoogle Scholar
Gentry, T. (2008). PDAs as cognitive aids for people with multiple sclerosis. American Journal of Occupational Therapy, 62, 18–27.CrossRefGoogle ScholarPubMed
Gentry, T., Wallace, J., Kwarfordt, C., Lynch, K. (2008). Personal digital assistants as cognitive aids for individuals with severe traumatic brain injury: a community based trial. Brain Injury, 22(1), 19–24.CrossRefGoogle ScholarPubMed
Giles, G.M., Shore, M. (1989). The effectiveness of an electronic memory aid for a memory-impaired adult of normal intelligence. American Journal of Occupational Therapy, 43, 409–411.CrossRefGoogle ScholarPubMed
Gillespie, A., Murphy, J., Place, M. (2010). Divergences of perspective between people with aphasia and their family caregivers. Aphasiology, 24, 1559–1575.CrossRefGoogle Scholar
Gillespie, A., Zittoun, T. (2010). Using resources: Conceptualizing the mediation and reflective use of tools and signs. Culture & Psychology, 16, 37–62.CrossRefGoogle Scholar
Gillette, Y., Depompei, R. (2008). Do PDAs enhance the organization and memory skills of students with cognitive disabilities? Psychology in the Schools, 45, 665–677. doi:10.1002/pits.20316CrossRefGoogle Scholar
Goldstein, G., Beers, S.R., Shemansky, W.J., Longmore, S. (1998). An assistive device for persons with severe amnesia. Journal of Rehabilitation Research and Development, 35, 238–244.Google ScholarPubMed
Gorman, P., Dayle, R., Hood, C.-A., Rumrell, L. (2003). Effectiveness of the ISAAC cognitive prosthetic system for improving rehabilitation outcomes with neurofunctional impairment. Neurorehabilitation, 18, 57–67.CrossRefGoogle ScholarPubMed
Haller, M., Billinghurst, M., Thomas, B.H. (2007). Emerging technologies of augmented reality: Interfaces and design. London: Idea Group Inc (IGI).CrossRefGoogle Scholar
Hart, T., Hawkey, K., Whyte, J. (2002). Use of a portable voice organizer to remember therapy goals in traumatic brain injury rehabilitation: A within-subjects trial. The Journal of Head Trauma Rehabilitation, 17, 556–570.CrossRefGoogle ScholarPubMed
Hart, T., O'Neil-Pirozzi, T., Morita, C. (2003). Clinician expectations for portable electronic devices as cognitive-behavioural orthoses in traumatic brain injury rehabilitation. Brain Injury, 17(5): 401–411.CrossRefGoogle ScholarPubMed
Higgins, E.L., Raskind, M.H. (2000). Speaking to read: The effects of continuous vs. discrete speech recognition systems on the reading and spelling of children with learning disabilities. Journal of Special Education Technology, 15, 19–30.CrossRefGoogle Scholar
Horner, R.H., Carr, E.G., Halle, J., McGee, G., Odom, S., Wolery, M. (2005). The use of single-subject research to identify evidence-based practice in special education. Exceptional Children, 71, 165–179.CrossRefGoogle Scholar
Inglis, E.A., Szymkowiak, A., Gregor, P., Newell, A.F., Hine, N., Shah, P., Evans, J. (2003). Issues surrounding the user-centred development of a new interactive memory aid. Universal Access in the Information Society, 2, 226–234.CrossRefGoogle Scholar
International Organization for Standardization. (2007). ISO 9999: Assistive products for persons with disability-classification and terminology. Geneva: ISO.Google Scholar
Jackson, N., Waters, E. (2005). Criteria for the systematic review of health promotion and public health interventions. Health Promotion International, 20, 367–374.CrossRefGoogle ScholarPubMed
Johnston, O., Gallagher, A.G., Mcmahon, P.J., King, D.J. (2002). The efficacy of using a personal stereo to treat auditory hallucinations. Behavior Modification, 26, 537–549. doi 10.1177/0145445502026004006CrossRefGoogle ScholarPubMed
de Joode, E., van Heugten, C., Verhey, F., van Boxtel, M. (2010). Efficacy and usability of assistive technology for patients with cognitive deficits: A systematic review. Clinical Rehabilitation, 24, 701–714. doi:10.1177/0269215510367551CrossRefGoogle ScholarPubMed
Kapp, E. (1877). Grundlinien einer philosophie der tecknik. Braunmschwieg, Germany: Westermann.Google Scholar
Kapur, N. (1995). Memory aids in the rehabilitation of memory disordered patients. In A.D. Baddeley, B.A. Wilson, & F.N. Watts (Eds.), Handbook of memory disorders (pp. 535–557). Oxford: John Wiley & Sons.Google Scholar
Kapur, N., Glisky, E., Wilson, B. (2004). Technological memory aids for people with memory deficits. Neuropsychological Rehabilitation, 14, 41–60.CrossRefGoogle Scholar
Kawamoto, H., Sankai, Y. (2002). Power assist system HAL-3 for gait disorder person. In K. Miesenberger, J. Klaus, W. Zagler (Eds.), ICCHP 2002, LNCS 2398, 196–203.Google Scholar
Kazerooni, H., Steger, R. (2006). The Berkeley lower extremity exoskeleton. Transactions of the ASME, Journal of Dynamic Systems. Measurement and Control, 128, 14–25.CrossRefGoogle Scholar
Kim, H.J., Burke, D.T., JrDowds, M.M., Boone, K.A., Park, G.J. (2000). Electronic memory aids for outpatient brain injury: Follow-up findings. Brain Injury, 14, 187–196. doi:10.1080/026990500120844Google ScholarPubMed
Kim, H.J., Burke, D.T., Dowds, M.M., George, J. (1999). Utility of a microcomputer as an external memory aid for a memory-impaired head injury patient during in-patient rehabilitation. Brain Injury, 13, 147–150.CrossRefGoogle ScholarPubMed
Kime, S.K., Lamb, D.G., Wilson, B.A. (1996). Use of a comprehensive programme of external cueing to enhance procedural memory in a patient with dense amnesia. Brain Injury, 10, 17–26.Google Scholar
Kirsch, N.L., Levine, S.P., Fallon-Krueger, M., Jaros, L.A. (1987). Focus on clinical research: The microcomputer as an “orthotic” device for patients with cognitive deficits. The Journal of Head Trauma Rehabilitation, 2, 77–86.CrossRefGoogle Scholar
Kirsch, N.L., Levine, S.P., Lajiness-O'Neill, R., Schnyder, M. (1992). Computer-assisted interactive task guidance: Facilitating the performance of a simulated vocational task. Journal of Head Trauma Rehabilitation, 7, 13–25.CrossRefGoogle Scholar
Kirsch, N.L., Shenton, M., Rowan, J. (2004). A generic, “in-house”, alphanumeric paging system for prospective activity impairments after traumatic brain injury. Brain Injury, 18, 725–734. doi:10.1080/02699050310001646161CrossRefGoogle ScholarPubMed
Kirsch, N.L., Shenton, M., Spirl, E., Rowan, J., Simpson, R., LoPresti, E.F. (2004). Web-based assistive technology interventions for cognitive impairments after traumatic brain injury: A selective review and two case studies. Rehabilitation Psychology, 49, 200–212. doi:10.1037/0090-5550.49.3.200CrossRefGoogle Scholar
Kirsch, N.L., Shenton, M., Spirl, E., Simpson, R., Lopresti, E., Schreckenghost, D. (2004). An assistive-technology intervention for verbose speech after traumatic brain injury: A single case study. The Journal of Head Trauma Rehabilitation, 19, 366–377.CrossRefGoogle ScholarPubMed
Lancioni, G.E., O'Reilly, M.F., Seedhouse, P., Furniss, F., Cunha, B. (2000). Promoting independent task performance by persons with severe developmental disabilities through a new computer-aided system. Behavior Modification, 24, 700–718. doi:10.1177/0145445500245005CrossRefGoogle ScholarPubMed
Lancioni, G.E., O'Reilly, M.F., Singh, N.N., Sigafoos, J., Oliva, D., Campodonico, F., Piazzolla, G. (2006). Promoting fluency of performance during morning dressing by two persons with multiple disabilities. Perceptual and Motor Skills, 103, 771–777. doi:10.2466/PMS.103.3.77 1-777CrossRefGoogle ScholarPubMed
Lancioni, G.E., O'Reilly, M.F., Van den Hof, E., Furniss, F., Seedhouse, P., Rocha, N. (1999). Task instructions for persons with severe intellectual disability: Reducing the number of instruction occasions after the acquisition phase. Behavioral Interventions, 14, 199–211.3.0.CO;2-E>CrossRefGoogle Scholar
Lancioni, G.E., van den Hof, E., Boelens, H., Rocha, N., Seedhouse, P. (1998). A computer-based system providing pictorial instructions and prompts to promote task performance in persons with severe developmental disabilities. Behavioral Interventions, 13, 111–122.3.0.CO;2-0>CrossRefGoogle Scholar
Lancioni, G.E., Van den Hof, E., Furniss, F., O'Reilly, M.F., Cunha, B. (1999). Evaluation of a computer-aided system providing pictorial task instructions and prompts to people with severe intellectual disability. Journal of Intellectual Disability Research, 43, 61–66.CrossRefGoogle ScholarPubMed
Lawson, C. (2010). Technology and the extension of human capabilities. Journal for the Theory of Social Behavior, 40, 207–223. doi:10.1111/j.1468-5914.2009.00428.xCrossRefGoogle Scholar
Leirer, V.O., Morrow, D.G., Tanke, E.D., Pariante, G.M. (1991). Elders’ nonadherence: Its assessment and medication reminding by voice mail. The Gerontologist, 31, 514–520.CrossRefGoogle ScholarPubMed
Lemoncello, R.R. (2009). A within-subjects experimental evaluation of the Television Assisted Prompting (TAP) system to maximize completion of home-delivered swallow strengthening exercises among individuals with co-occurring acquired swallowing and cognitive impairments. (Unpublished PhD thesis). University of Oregon, Oregon.Google Scholar
Liu, A.L., Hile, H., Kautz, H., Borriello, G., Brown, P.A., Harniss, M., Johnson, K. (2008). Indoor wayfinding: Developing a functional interface for individuals with cognitive impairments. Disability & Rehabilitation. Assistive Technology, 3, 69–81. doi:10.1080/17483100701500173CrossRefGoogle ScholarPubMed
LoPresti, E.F., Mihailidis, A., Kirsch, N. (2004). Assistive technology for cognitive rehabilitation: State of the art. Neuropsychological Rehabilitation, 14, 5–39. doi:10.1080/09602010343000101CrossRefGoogle Scholar
Manly, T., Heutink, J., Davison, B., Gaynord, B., Greenfield, E., Parr, A., Robertson, I.H. (2004). An electronic knot in the handkerchief: “Content free cueing” and the maintenance of attentive control. Neuropsychological Rehabilitation, 14, 89–116. doi:10.1080/09602010343000110CrossRefGoogle Scholar
Martins, I.P., Ferreira, J., Borges, L. (1999). Acquired procedural dyscalculia associated to a left parietal lesion in a child. Child Neuropsychology, 5, 265.CrossRefGoogle ScholarPubMed
McInnis, M., Marks, I. (1990). Audiotape therapy for persistent auditory hallucinations. The British Journal of Psychiatry, 157, 913–914.CrossRefGoogle ScholarPubMed
McLuhan, M. (1964). Understanding media: The extensions of man. New York: McGraw-Hill.Google Scholar
Mihailidis, A., Barbenel, J.C., Fernie, G. (2004). The efficacy of an intelligent cognitive orthosis to facilitate handwashing by persons with moderate to severe dementia. Neuropsychological Rehabilitation, 14, 135–171. doi:10.1080/09602010343000156CrossRefGoogle Scholar
Mihailidis, A., Boger, J., Craig, T., Hoey, J. (2008). The COACH prompting system to assist older adults with dementia through handwashing: An efficacy study. BMC Geriatrics, 8, 28. doi:10.1186/1471-2318-8-28CrossRefGoogle ScholarPubMed
Morley, S., Adams, M. (1991). Graphical analysis of single-case time series data. The British Journal of Clinical Psychology, 30, 97–115.CrossRefGoogle ScholarPubMed
Morris, A., Donnamukkala, R., Kapuria, A., Steinfeld, A., Matthews, J.T., Dunbar-Jacob, J., Thrun, S. (2003). A robotic walker that provides guidance. Proceedings of the IEEE International Conference on Robotics and Automation (pp. 25–30). Taipei, Taiwan: IEEE.Google Scholar
Naugle, R., Naugle, C., Prevey, M., Delaney, R. (1988). New digital watch as compensatory device for memory dysfunction. Cognitive Rehabilitation, 6, 22–23.Google Scholar
Nelson, H.E., Thrasher, S., Barnes, T.R. (1991). Practical ways of alleviating auditory hallucinations. British Medical Journal, 302, 327.CrossRefGoogle ScholarPubMed
O'Neill, B. (2008). Cognition and mobility rehabilitation following lower limb amputation. In P. Gallagher, D. Desmond, & M. MacLachlan (Eds.), Psychoprosthetics: State of the knowledge. London: Springer Press.Google Scholar
O'Neill, B., Gillespie, A. (2008). Simulating naturalistic instruction: The case for a voice mediated interface for assistive technology for cognition. Journal of Assistive Technologies, 2, 22–31.CrossRefGoogle Scholar
O'Neill, B., McMillan, T.M. (2004). The efficacy of contralesional limb activation in rehabilitation of unilateral hemiplegia and visual neglect: A baseline-intervention study. Neuropsychological Rehabilitation, 14, 437–447.CrossRefGoogle Scholar
O'Neill, B., Moran, K., Gillespie, A. (2010). Scaffolding rehabilitation behaviour using a voice-mediated assistive technology for cognition. Neuropsychological Rehabilitation, 20, 509–527. doi:10.1080/09602010903519652CrossRefGoogle ScholarPubMed
Oriani, M., Moniz-Cook, E., Binetti, G., Zanieri, G., Frisoni, G.B., Geroldi, C., Zanetti, O. (2003). An electronic memory aid to support prospective memory in patients in the early stages of Alzheimer's disease: A pilot study. Aging & Mental Health, 7, 22–27.CrossRefGoogle ScholarPubMed
Paolucci, S., Antonucci, G., Guariglia, C., Magnotti, L., Pizzamiglio, L., Zoccolotti, P. (1996). Facilitatory effect of neglect rehabilitation on the recovery of left hemiplegic stroke participants: A cross-over study. Journal of Neurology, 243, 308–314.CrossRefGoogle Scholar
Pastrana, F., Wurst, L., Zeiner, H. (2009). Use of cognitive remediation device/PDA with planning software to reduce dysfunctional hypomanic behaviour in a combat veteran with co-morbid multiple neurological and psychological disorders. (Vol. 24, pp. 479–480). Presented at the 29th Annual Meeting of the National Academy of Neuropsychology. New Orleans, LA: Archives of Clinical Neuropsychology.Google Scholar
Pavolini, E., Ranci, C. (2008). Restructuring the welfare state: Reforms in long-term care in Western European countries. Journal of European Social Policy, 18, 246. doi:10.1177/0958928708091058CrossRefGoogle Scholar
Pijnenborg, G.H.M., Withaar, F.K., Evans, J.J., van den Bosch, R.J., Brouwer, W.H. (2007). SMS text messages as a prosthetic aid in the cognitive rehabilitation of schizophrenia. Rehabilitation Psychology, 52, 236–240. doi:10.1037/0090-5550.52.2.236CrossRefGoogle Scholar
Pollack, M.E. (2005). Intelligent technology for an aging population. AI Magazine, 26, 9–24.Google Scholar
Popay, J., Roberts, H., Sowden, A., Petticrew, M., Arai, L., Rodgers, M., Duffy, S. (2006), Guidance on the conduct of narrative synthesis in systematic reviews (p. 92). Swindon: Economic and Social Research Council.Google Scholar
Proot, I.M., Crebolder, H.F., Abu-Saad, H.H., Macor, T.H., Ter Meulen, R.H. (2000). Facilitating and constraining factors on autonomy: The views of stroke patients on admission into nursing homes. Clinical Nursing Research, 9, 460–478.CrossRefGoogle ScholarPubMed
Reiner, R. (2008). Integrating a portable biofeedback device into clinical practice for patients with anxiety disorders: Results of a pilot study. Applied Psychophysiology and Biofeedback, 33, 55–61. doi:10.1007/s10484-007-9046-6CrossRefGoogle ScholarPubMed
Rich, L.P. (2009). Prompting self-monitoring with assistive technology to increase academic engagement in students with attention-deficit/hyperactivity disorder symptoms. (Unpublished Psy.D. thesis) Hofstra University, New York.Google Scholar
Robertson, I.H., Hogg, K., McMillan, T.M. (1998). Rehabilitation of visual neglect: Improving function by contralesional limb activation. Neuropsychological Rehabilitation, 8, 19–29.CrossRefGoogle Scholar
Robertson, I.H., McMillan, T.M., MacLeod, E., Edgeworth, J., Brock, D. (2002). Rehabilitation by limb activation training reduces left-sided motor impairment in unilateral neglect patients: A single-blind randomised control trial. Neuropsychological Rehabilitation 12, 439. doi:10.1080/09602010244000228Google Scholar
Robertson, I.H., North, N.T., Geggie, C. (1992). Spatiomotor cueing in unilateral left neglect: Three case studies of its therapeutic effects. Journal of Neurology, Neurosurgery, and Psychiatry, 55, 799–805.CrossRefGoogle ScholarPubMed
Robinson, L., Brittain, K., Lindsay, S., Jackson, D., Olivier, P. (2009). Keeping In Touch Everyday (KITE) project: Developing assistive technologies with people with dementia and their carers to promote independence. International Psychogeriatrics/IPA, 21, 494–502. doi:10.1017/S1041610209008448CrossRefGoogle ScholarPubMed
Sablier, J., Stip, E., Franck, N. , & Mobus group. (2010). Mobus, an assistive technology for improving autonomy in schizophrenia: Pilot study. Presented at the RESNA Annual Conference: Las Vegas, Nevada.Google Scholar
Sarne-Fleischmann, V., Tractinsky, N. (2008). Development and evaluation of a personalised multimedia system for reminiscence therapy in Alzheimer's patients. International Journal of Social and Humanistic Computing, 1, 81–96.CrossRefGoogle Scholar
Scherer, M.J. (2005). Assessing the benefits of using assistive technologies and other supports for thinking, remembering and learning. Disability & Rehabilitation, 27, 731–739. doi:10.1080/09638280400014816CrossRefGoogle ScholarPubMed
Scherer, M., Jutai, J., Fuhrer, M., Demers, L., Deruyter, F. (2007). A framework for modelling the selection of assistive technology devices (ATDs). Disability & Rehabilitation: Assistive Technology, 2, 1–8. doi:10.1080/17483100600845414Google ScholarPubMed
Schmitter-Edgecombe, M., Fahy, J.F., Whelan, J.P., Long, C.J. (1995). Memory remediation after severe closed head injury: Notebook training versus supportive therapy. Journal of Consulting and Clinical Psychology, 63, 484–489.CrossRefGoogle ScholarPubMed
Scottish Intercollegiate Guidelines Network. (2008). SIGN 50: A guideline developer's handbook. Edinburgh: Scottish Intercollegiate Guidelines Network.Google Scholar
Sohlberg, M.M., Fickas, S., Hung, P.-F., Fortier, A. (2007). A comparison of four prompt modes for route finding for community travellers with severe cognitive impairments. Brain Injury, 21, 531–538. doi:10.1080/02699050701311000CrossRefGoogle ScholarPubMed
Stapleton, S., Adams, M., Atterton, L. (2007). A mobile phone as a memory aid for individuals with traumatic brain injury: A preliminary investigation. Brain Injury, 21, 401–411. doi:10.1080/02699050701252030CrossRefGoogle ScholarPubMed
Starkhammar, S., Nygard, L. (2008). Using a timer device for the stove: Experiences of older adults with memory impairment or dementia and their families. Technology and Disability, 20, 179–191.CrossRefGoogle Scholar
Steel, E., Gelderblom, G.J., Witte, L. (2010). Linking instruments and documenting decisions in service delivery guided by an ICF-based tool for assistive technology selection. In K. Miesenberger, J. Klaus, W. Zagler, & A. Karshmer (Eds.), Computers helping people with special needs (Vol. 6179, pp. 537–543). Berlin: Springer.CrossRefGoogle Scholar
Stock, S.E., Davies, D.K., Wehmeyer, M.L., Palmer, S.B. (2008). Evaluation of cognitively accessible software to increase independent access to cellphone technology for people with intellectual disability. Journal of Intellectual Disability Research, 52, 1155–1164. doi:10.1111/j.1365-2788.2008.01099.xCrossRefGoogle ScholarPubMed
Svoboda, E., Richards, B. (2009). Compensating for anterograde amnesia: A new training method that capitalizes on emerging smartphone technologies. Journal of the International Neuropsychological Society, 15, 629–638.CrossRefGoogle ScholarPubMed
Svoboda, E., Richards, B., Polsinelli, A., Guger, S. (2010). A theory-driven training programme in the use of emerging commercial technology: Application to an adolescent with severe memory impairment. Neuropsychological Rehabilitation, 20, 562. doi:10.1017/S1355617709090791CrossRefGoogle Scholar
Taber, T.A., Seltzer, A., Heflin, J., Alberto, P.A. (1999). Use of self-operated auditory prompts to decrease off-task behavior for a student with autism and moderate mental retardation. Focus on Autism and Developmental Disabilities, 14, 159–166.CrossRefGoogle Scholar
Tate, R., Mcdonald, S., Perdices, M., Togher, L., Schultz, R., Savage, S. (2008). Rating the methodological quality of single-subject designs and n-of-1 trials: Introducing the Single-Case Experimental Design (SCED) Scale. Neuropsychological Rehabilitation, 18, 385–401. doi:10.1080/09602010802009201CrossRefGoogle ScholarPubMed
Thöne-Otto, A.I.T., Walther, K. (2003). How to design an electronic memory aid for brain-injured patients: Considerations on the basis of a model of prospective memory. International Journal of Psychology, 38, 236–244. doi:10.1080/00207590244000205CrossRefGoogle Scholar
Topo, P., Mäki, O., Saarikalle, K., Clarke, N., Begley, E., Cahill, S., Gilliard, J. (2004). Assessment of a music-based multimedia program for people with dementia. Dementia, 3, 331–350. doi:10.1177/1471301204045164CrossRefGoogle Scholar
Üstün, T.B., Chatterji, S., Bickenbach, J., Kostanjsek, N., Schneider, M. (2003). The International Classification of Functioning, Disability and Health: A new tool for understanding disability and health. Disability & Rehabilitation, 25, 565–571. doi:10.1080/0963828031000137063CrossRefGoogle ScholarPubMed
van den Broek, M.D., Downes, J., Johnson, Z., Dayus, B., Hilton, N. (2000). Evaluation of an electronic memory aid in the neuropsychological rehabilitation of prospective memory deficits. Brain Injury, 14, 455–462.CrossRefGoogle ScholarPubMed
Van Hulle, A., Hux, K. (2006). Improvement patterns among survivors of brain injury: Three case examples documenting the effectiveness of memory compensation strategies. Brain Injury, 20, 101–109. doi:10.1080/02699050500309684CrossRefGoogle ScholarPubMed
Volpe, B.T., Huerta, P.T., Zipse, J.L., Rykman, A., Edwards, D., Dipietro, L., Krebs, H.I. (2009). Robotic devices as therapeutic and diagnostic tools for stroke recovery. Archives of Neurology, 66, 1086–1090. doi:10.1001/archneurol.2009.182CrossRefGoogle ScholarPubMed
Vygotsky, L.S., Luria, A. (1994). Tool and symbol in child development. In R. Van de Veer & J. Valsiner (Eds.), The Vygotsky reader (pp. 99–174). Oxford: Blackwell.Google Scholar
Wade, T.K., Troy, J.C. (2001). Mobile phones as a new memory aid: A preliminary investigation using case studies. Brain Injury, 15, 305–320. doi:10.1080/026990501750111256CrossRefGoogle Scholar
Williams, B.C., Fries, B.E., Foley, W.J., Schneider, D., Gavazzi, M. (1994). Activities of daily living and costs in nursing homes. Health Care Financing Review, 15, 117–135.Google ScholarPubMed
Wilson, B. (1987). Single-case experimental designs in neuropsychological rehabilitation. Journal of Experimental Neuropsychology, 9 (5): 527–544.Google Scholar
Wilson, B.A., Emslie, H.C., Quirk, K., Evans, J.J. (2001). Reducing everyday memory and planning problems by means of a paging system: A randomised control crossover study. Journal of Neurology, Neurosurgery, and Psychiatry, 70, 477–482. doi:10.1136/jnnp.70.4.477CrossRefGoogle ScholarPubMed
Wilson, B., Evans, J., Emslie, H., Malinek, V. (1997). Evaluation of NeuroPage: A new memory aid. Journal of Neurology, Neurosurgery, and Psychiatry, 63, 113–115.CrossRefGoogle ScholarPubMed
Wilson, B.A., Hughes, E. (1997). Coping with amnesia: The natural history of a compensatory memory system. Neuropsychological Rehabilitation, 7, 43.CrossRefGoogle Scholar
Wimo, A., Prince, M. (2010). World Alzheimer Report: The global economic impact of dementia. London: Alzheimer's Disease International.Google Scholar
Winocur, G., Moscovitch, M., Freedman, J. (1987). An investigation of cognitive function in relation to psychosocial variables in institutionalized old people. Canadian Journal of Psychology, 41, 257–269.CrossRefGoogle ScholarPubMed
Wood, R.L. (2001). Understanding behavioural neurodisability. In R.L. Wood & T.M. McMillan (Eds.), Neurobehavioural disability and social handicap following traumatic brain injury (pp. 3–27). Hove: Psychology Press.Google Scholar
World Health Organization. (2002). Towards a common language for functioning, disability and health (ICF). Geneva. Retrieved from http://www.who.int/classifications/icf/site/beginners/bg.pdfGoogle Scholar
Wright, P., Rogers, N., Hall, C., Wilson, B., Evans, J., Emslie, H., Bartram, C. (2001). Comparison of pocket-computer memory aids for people with brain injury. Brain Injury, 15, 787–800.CrossRefGoogle ScholarPubMed
Yasuda, K., Misu, T., Beckman, B., Watanabe, O., Ozawa, Y., Nakamura, T. (2002). Use of an IC—Recorder as a voice output memory aid for patients with prospective memory impairment. Neuropsychological Rehabilitation, 12, 155.CrossRefGoogle Scholar
Yeates, G., Hamill, M., Sutton, L., Psaila, K., Gracey, F., Mohamed, S., O'Dell, J. (2008). Dysexecutive problems and interpersonal relating following frontal brain injury: Reformulation and compensation in cognitive analytic therapy (CAT). Neuropsychoanalysis, 10, 43–58.CrossRefGoogle Scholar
Zucker, T.L., Samuelson, K.W., Muench, F., Greenberg, M.A., Gevirtz, R.N. (2009). The effects of respiratory sinus arrhythmia biofeedback on heart rate variability and posttraumatic stress disorder symptoms: A pilot study. Applied Psychophysiology and Biofeedback, 33, 55–61. doi:10.1007/s10484-009-9085-2Google Scholar