Ph.D. University of Memphis, 1994
Office: Johnson Tower 312
Phone: (509) 335-0170
- Aging and Dementia Neuropsychology Laboratory
- Traumatic Brain Injury Neuropsychology Laboratory
- Smart Environment Research
- Aging Assistive Technology Video Series
- Undergraduate Program in Gerontechnology Website
- Graduate Student Work – Lab TV Link
- Memory Notebook: CR-MFG Intervention and Manual: Please click to request a copy
- Instrumental Activities of Daily Living-Compensation Questionnaire: Please click to request a copy
- Smart home
- Washington State Magazine – You Must Remember This
- Washington State Magazine – Helping people with memory loss
- Better Tests Needed to Pinpoint Memory Problems
- Computers help solve the challenges of aging
- Psychology 198: Honors Introductory Psychology
- Psychology 363: Psychology and Aging
- Psychology 490: Cognition and Aging
- Psychology 485/486: Gerontechnology 1 and 2
- Psychology 537: Clinic Assessment Practicum
- Psychology 575: Foundation of Neuropsychology
Dr. Schmitter-Edgecombe will be accepting a graduate student for Fall 2017 admissions.
Clinical and Cognitive Neuropsychology; Everyday Functioning; Memory and Executive Abilities; Rehabilitation; Smart and Assistive Technologies; Aging and Cognitively Impaired Populations (e.g., MCI, AD, PD and TBI).
2015 and In Press Publications:
*McAlister, C., & Schmitter-Edgecombe, M. (in press). Content and temporal order memory for performed activities in Parkinson’s disease. Archives of Neuropsychology.
*Robertson, K., & Schmitter-Edgecombe, M. (in press). Naturalistic tasks performed in realistic environments: A review with implications for cognitive assessment and intervention. The Clinical Neuropyschologist. DOI: 10.1080/13854046.2016.1208847.
*McAlister, C., & Schmitter-Edgecombe, M. (in press). Everyday functioning and cognitive correlates in healthy older adults with subjective cognitive concerns. The Clinical Neuropsychologist.
*Hu, Y., **Tilke, D., **Adams, T., Crandall, A. S, Cook, D. J., & Schmitter-Edgecombe, M. (in press). Smart Home in a Box: study of large-scale in-home smart environments deployment. Journal of Reliable Intelligent Environments.
*McAlister, C., & Schmitter-Edgecombe, M. (in press). Executive function subcomponents and their relations to everyday functioning in healthy older adults. Journal of Clinical and Experimental Neuropsychology.
**Van Etten, E., *Weakley, A., Schmitter-Edgecombe, M. & Cook, D. (in press). Subjective cognitive complaints and objective memory performance influence prompt preference for instrumental activities of daily living. Gerontechnology.
*McAlister, C., Schmitter-Edgecombe, M., & Lamb, R. (in press). Examination of variables that may affect the relationship between cognition and functional status in individuals with mild cognitive impairment: a meta-analysis. Archives of Clinical Neuropsychology. PMID 27001974
*Das, B., Cook, D. J., Krishnan, N. C., & Schmitter-Edgecombe, M. (in press). One-class classification-based real-time activity error detection in smart homes. IEEE Journal of Selected Topics in Signal Processing.
*Sanders, C., & Schmitter-Edgecombe, M. (in press). Examining the impact of formal planning on performance in older adults using a naturalistic task paradigm. Neuropsychological Rehabilitation. DOI: 10.1080/09602011.2015.1107599
*Dawadi, P. N., Cook, D. J., & Schmitter-Edgecombe, M. (in press). Modeling patterns of activities using activity curves. Pervasive and Mobile Computing, Special Issue on Big Data Analytics for Smarter Health Care.
*Dawadi, P. N., Cook, D. J., & Schmitter-Edgecombe, M. (in press). Automated clinical assessment from smart-home based behavior data. IEEE Journal of Biomedical and Health Informatics. PMID: 2629348; DOI: 10.1109/JBHI.2015.2445754
*Simon, C. M., & Schmitter-Edgecombe, M. (2016). The role of cognitive reserve and memory self-efficacy on compensatory strategy use: a structural equation approach. Journal of Clinical and Experimental Neuropsychology, 38, 685-699. DOI: 10.1080/13803395.2016.1150426
*McAlister, C., & Schmitter-Edgecombe, M. (2016). Cross-sectional and longitudinal analyses of everyday memory lapses in older adults. Aging, Neuropsychology and Cognition, 23, 591-608. PMID 26810777; DOI: 10.1080/13825585.2015.1132669.
*Weakley, A., *Williams, J., Schmitter-Edgecombe, M., & Cook, D. (2015). Classification of mild cognitive impairment and dementia through machine learning and statistical techniques. Journal of Clinical and Experimental Neuropsychology, 37, 899-916. DOI: 10.1080/13803395.2015.1067290
Cook, D., Schmitter-Edgecombe, M., & *Dawadi, P., (2015). Analyzing activity behavior and movement in a naturalistic environment using smart home techniques. IEEE Journal of Biomedical and Health Informatics. 19, 1882-1892. PMID: 26259225 DOI: 10.1109/JBHI.2015.2461659
*Fellows, R. P., & Schmitter-Edgecombe, M. (2015). Between-Domain Cognitive Dispersion and Functional Abilities in Older Adults. Journal of Clinical and Experimental Neuropsychology, 37, 1013-1023. 10.1080/13803395.2015.1050360
*Robertson, K., *Rosasco, C., *Feuz, K., Schmitter-Edgecombe, M., & Cook, D. (2015). Prompting technologies: a comparison of time-based and context-aware transition-based promoting. Technology and Health Care, 23, 745-756. PMID: 26409520; DOI: 110.3233/THC-151033
Schmitter-Edgecombe, M., & *Robertson, K. (2015). Recovery of visual search following moderate to severe traumatic brain injury. Journal of Clinical and Experimental Neuropsychology, 37, 162-177. PMID: 25671675; DOI: 10.1080/13803395.2014.998170
*Robertson, K., & Schmitter-Edgecombe, M. (2015). Self-awareness and traumatic brain injury outcome. Brain Injury, 29, 848-858. DOI: 10.3109/02699052.2015.1005135
*Feuz, K., *Robertson, K., *Rosasco, C., Cook, D. & Schmitter-Edgecombe, M. (2015). Automated detection of activity transitions for prompting. IEEE Transactions on Human-Machine Systems, 45, 575-585. DOI: 10.1109/THMS.2014.2362529
*Parsey, C. M., Schmitter-Edgecombe, M., & Belenky, G. (2015). Sleep and everyday functioning in older adulthood. Journal of Applied Gerontology, 34, 48-72. PMID: 25548088; DOI:10.1177/0733464812458364.
*denotes graduate student author
**denotes undergraduate student author
In Press Book Chapters
Schmitter-Edgecombe, M., & Farias, S. T. (forthcoming). Aging and everyday functioning: measurement, correlates and future directions. In G. E. Smith & S. T. Farias (Ed.). APA Handbook of Dementia.
Schmitter-Edgecombe, M., & *Robertson, K. (forthcoming). Naturalistic assessment: everyday environments and emerging technologies. In T. D. Marcotte & I. Grant (Ed.). Neuropsychology of Everyday Functioning (2nd Edition). New York: The Guilford Press.
Schmitter-Edgecombe, M., Cook, D., *Weakley, A. & *Dawadi, P. (forthcoming). Using Smart Environment Technologies to Monitor and Assess Everyday Functioning and Deliver Real-time Intervention. In T. Parsons & R. Kane (Ed.). The Role of Technology in Clinical Neuropsychology. Oxford University Press.
Tam, J., & Schmitter-Edgecombe, M. (forthcoming). A review of factors affecting aging services technology use in the aging population. In T. Parsons & R. Kane (Ed.). The Role of Technology in Clinical Neuropsychology. Oxford University Press.
Current Funded Grants
Providing support in real-time with smart technologies to improve quality of life. Department of Defense. AZ150096 2016-2019. $720,663. PI.
GAANN Fellowships for Advancing Interdisciplinary Research, Education and Training in Gerontechnology. US Department of Education: Graduate Assistance in Areas of National Need (GAANN). P200A150115 $590,566. 2015-2018. PI.
The Science of Activity-Predictive Cyber-Physical Systems. National Science Foundation. CPS: TTP Option: Synergy: Collaborative Research. 2015-2019. $1,100,000. Co-PI.
Smart Environment Technologies for Health Assessment and Assistance. NIH: National Institute of Biomedical Imaging and Bioengineering. #R01 EB009675 2014-2018, $1,487,560. PI.
Training Program for Undergraduate Gerontechnologists (TUG). NIH: National Institute on Aging 2014-2019, $1,604,829, #R25 AG046114. PI.
Improving Awareness, Training in and Access to Aging Services Technologies (ASTs) for individuals with Dementia, their Caregivers, and Health-care Providers. Attorney General’s Office, Washington State, 2013-2015, $206,103. PI.
Smart Environment Technology for Longitudinal Behavior Analysis and Intervention. NIH: National Institute of Biomedical Imaging and Bioengineering. #R01 EB015853 2012-2016, $1,566,691. PI
The goal of this research program is to develop cognitive interventions that will help older individuals with progressive neurological disorders (e.g., AD, PD) delay functional disability and increase their quality-of-life. Participants in many of our studies are healthy older adults and early-stage dementia patients who complete standardized neuropsychological tests and cognitive experimental tasks that assess different cognitive skills (e.g., memory, problem-solving). By observing individuals completing complex tasks of daily living in our on-campus smart home environment, we have identified the role that specific memory and executive functioning deficits play in the poorer performances of healthy older adults and individuals with MCI relative to younger adults on complex real-world everyday tasks. We are currently completing a series of studies that involve observing participants completing everyday tasks of daily living as they natural do in their own home and community environments. We are especially interested in learning more about how compensatory strategy use and the role of the environment can support or hinder a person’s ability to remain functionally independent. We expect this work to enhance our intervention work and to assist in creating more ecological valid laboratory-based assessment measures and questionnaires and we are currently evaluating such measures.
Smart Home Assessment and Intervention: We also have several large grants from the National Institute of Health (NIH), the National Science Foundation (NSF) and the Department of Defense (DOD) to support collaborative work with computer scientists and engineers. This work involves developing smart environments and portable technologies for health monitoring and assistance. We are conducting a 5-year longitudinal study of older adults performing daily activities in their own smart homes. By tracking residents’ daily behavior over a long period, we are working to develop intelligent software that can perform automated functional assessment and identify trends that are indicators of acute health changes (e.g., infection, injury) and slower progressive decline (e.g., dementia). We are also working to improve overall health and well-being of residents by delivering prompt-based interventions that support functional independence and promote healthy lifestyle behaviors (e.g., social contact, exercise, regular sleep). In addition, we are working to improve our paper-and pencil notebook by creating a digital memory notebook (DMN) and allowing for real-time intervention by developing a smart home / DMN partnership. Such a partnership would facilitate continued use of a DMN to support functional independence through activity recognition and context-aware prompting, and would offer improved interfaces over the pen-and-paper versions.
Brain Health Intervention: Accumulating evidence suggests that healthy lifestyle factors, as well as cognitive brain training, can help to minimize the effect of cognitive aging. We are piloting holistic brain health intervention being administered in a group format. Older adult participants are being presented with information about healthy lifestyle factors that can influence cognitive aging, including: exercise, nutrition, sleep hygiene, social engagement, stress management, compensatory strategies, assistive technologies, and cognitive engagement. We are also using wearable technologies to track factors such as activity level and sleep. This work builds on a group problem-solving model that we have successfully used in prior work to help teach individuals with mild cognitive impairment and their care-partners to integrate new memory strategies into their everyday lives.
Aging Assistive Technologies: Assistive technologies can increase functional outcome and promote safety as well as reduce caregiver burden and healthcare costs. Despite these positive benefits, there continues to be widespread underutilization of assistive technology in the aging population. One barrier contributing to underutilization is the widespread lack of knowledge about existing supportive technologies, the utility and value of the technologies, as well as how to acquire and use them. With a grant from the Attorney General’s Office of WA, we developed a series of eight videos that cover assistive technologies relevant to the following topics: daily living aids, medication management tools, memory aids, fall prevention devices, hearing devices, vision aids, communication tools and mobility devices. These videos can be found at: tech4aging.wsu.edu. We are working on interventions, including telephone and Web-based interventions, that make use of the video series to increase awareness and use of aging services technologies by older adult users, caregivers and health care professionals
Difficulties with memory, attention and complex problem-solving are common cognitive problems that can occur after someone experiences a traumatic brain injury (TBI). By bridging basic science research with rehabilitation techniques, our work is designed to help persons with TBI overcome cognitive difficulties. A current series of studies focuses on an important goal of rehabilitation, which is to maximize the patient’s ability to function independently and to reintegrate into the home and community. It has been argued that when the rehabilitation environment is more closely connected to the goals and activities that people aspire to complete in their everyday lives, patients will be more motivated to reach their rehabilitation goals and rehabilitation strategies will better generalize to everyday situations. This has led some medical rehabilitation facilitates to invest in simulated community environments, where facsimiles of grocery stores, restaurants, bus stations, cross walks, and recreational venues can help patients make a direct connection to real life challenges. Although theoretical rationale for use of simulated environments is sufficiently strong, there is little empirical support. The purpose of our current work is twofold: First, we are evaluating the efficacy of a newly developed instrument for use in the simulated community, the “Shopping Trip Task,” to predict patient reintegration into the home and community environment. Second, we are evaluating the efficacy of the simulated community environment in the treatment of cognitively impaired patients. We plan to expand this work to include interventions to support awareness of deficits in both patients and family members, and smart technologies for ecological momentary interventions.