Integrative Training in Health-Assistive Smart Environments

Adriana Seelye

IGERT Fellow Since: 
Fall 2009
Maureen Schmitter-Edgecombe
  • Morasco, B. J., Huckans, M,. Loftis, J. M., Woodhouse, J., Seelye, A., Turk, D. C., & Hauser, P. (in press). Predictors of Pain Intensity and Pain Functioning in Patients with the Hepatitis C Virus. General Hospital Psychiatry
  • Seelye, A.M., Schmitter-Edgecombe, M., & Flores, J. (2010). Episodic memory predictions in persons with amnestic and non-amnestic mild cognitive impairment. Journal of Clinical and Experimental Neuropsychology, 32(4), 433-441.
  • Huckans, M., Pavawalla, S., Demadura, T., Kolessar, M., Seelye, A., Roost, N., Twamley, E., & Storzbach, D. (2010). A pilot study examining the effect of a group-based cognitive strategy training (CST) intervention on self-reported psychiatric symptoms, functioning, and compensatory strategy utilization in OIF/OEF combat veterans with mild traumatic brain injury (mTBI). Journal of Rehabilitation Research and Development, 47(1), 43-60.
  • Seelye, A.M., Howieson, D.B., Wild, K.V., Moore, M.M., & Kaye, J.A. (2009). Wechsler Memory Scale–III Faces test performance in patients with mild cognitive impairment and mild Alzheimer’s disease. Journal of Clinical and Experimental Neuropsychology, 31(6), 682-688.
  • Huckans, M., Seelye, A., Mull, L., Parcel, T., Woodhouse, J., Bjornson, D., Loftis, J., Nelligan, J., Fuller, B., Sasaki, A., Hoffman, W., Storzbach, D., & Hauser, P. (2009). The neuropsychological effects of hepatitis C in patients with and without a history of substance use disorder. Journal of the International Neuropsychological Society, 15,1-14.
  • Wild, K., Howieson, D., Webbe, F., Seelye, A., & Kaye, J. (2008). The status of computerized cognitive testing in aging: A systematic review. Alzheimer’s & Dementia: The Journal of the Alzheimer's Association, 4(6), 428-437.
Research Description: 

The long-term goal of my dissertation project is to keep persons with mild cognitive impairment (MCI) and Alzheimer’s disease (AD) functioning independently in their homes longer, which will improve quality of life for patients and reduce burden on caregivers and society. My objective is to design, implement, and evaluate automated cueing technologies to provide new intervention strategies for persons with MCI and AD. I hypothesize that older adults with MCI and AD can lead independent lives in their own homes with the aid of context based, automated smart cueing technologies tailored to the individual’s level of cognitive impairment and the complexity of the IADL. To accomplish my objectives, I will determine the most appropriate and effective type of cues for assisting persons with MCI and AD in IADL initiation and completion in an experimenter-assisted smart apartment environment. I hypothesize that the most effective type of cue will depend on the individual’s level of cognitive impairment and complexity of IADL, and propose that using a graded hierarchy of cues will allow us to determine the best type of cues for individuals with MCI and AD and for a variety of IADLs.