AGE WELL: WP3.3: Do-It-Yourself Adaptable Intelligent Domestic Environment
The DIY-Aide (Do-it-yourself Adaptable Intelligent Domestic Environments) project aims to: (1) proposing a functional system that will assist elders with cognitive impairments at home; (2) offering their natural caregivers an easy way to install DIY-AIDE and to be reassured, either living at home with the elder or not; and (3) providing a link to technology developers, home and technology designers, and researchers to access user needs and requirements and to promote existing and emerging technologies. More specifically, the DIY-Aide kit will assemble different modules that can be installed alone, or together, and that will assist different activities of daily living (ADLs). The modules are designed to be customisable by our three user groups (persons with dementia, caregivers, and developers). The modules are synthesised and united through a single middleware system that provides interfaces for caregivers (to customise individual ADL assistance), elders with cognitive impairments (prompts and other interventions), developers (to assess user needs and to promote products), domotic designers (to recommend home-based technologies for specific individuals and situations) and researchers (for inclusive and participatory research practices).
As of 2011, there were 747,000 Canadians living with Alzheimer’s disease and other dementias and that number is expected to double to 1.4 million by 2031. The number of Canadians over the age of 65 living at home with dementia is on the rise (over 55% at the moment). This system aims at providing a solution for all these caregivers that feel worried about the possibility that their loved one can present dangerous behaviors such as wandering at night, not being able to feed themselves or to keep themselves or their house sanitary.
DIY-AIDE is directed to deliver assistance for specific ADLs that the elders with cognitive impairments and their caregivers have established as problematic. A participatory approach is used to elicit aging needs, to elicit caregivers’ needs for installing DIY-AIDE and for being reassured, and also to evaluate how the final system satisfies both caregivers and elderly persons. The technical approach concerns reasoning about specific ADLs for assistance and about the DIY-AIDE system as a whole, including studies on distributed artificial intelligence, affective computing, probabilistic modeling, decision theory, embedded systems, Internet of things, autonomic computing and HCI.
Members of the team
Hélène Pigot, Université de Sherbrooke
Jesse Hoey, University of Waterloo
Sylvain Giroux, Université de Sherbrooke
Dominique Lorrain, Université de Sherbrooke
Julie Robillard, University of British Columbia
Marie-Michèle Rosa-Fortin, WP3 coordinator, Université de Sherbrooke
Pierre-Yves Groussard, Université de Sherbrooke
Maxime Parenteau, Université de Sherbrooke
Stéphanie Stocco, Université de Sherbrooke
Damien Lockner, Université de Sherbrooke
Camila Oliveira, Université de Sherbrooke
Jyoti Joshi, University of Waterloo
Abhinav Dhall, University of Waterloo
Hubert Kenfack-Ngankam, Université de Sherbrooke
Robert Radziszewski, Université de Sherbrooke
Vincent Grégoire, Université de Sherbrooke
Deepak Rishi, University of Waterloo
Cheryl Shang, University of Waterloo
Dan Wang, University of Waterloo
Aaron Li, University of Waterloo
Alexis Thibault, Université de Sherbrooke
Camille Deguy, Université de Limoges, France
Manon Moal, Université de Limoges, France
Stéphanie Roy-Duarte, design industriel, Université de Montréal
- Teipel S, Babiloni C, Hoey J, Kaye J, Kirste T, Burmeister OK. Information and communication technology solutions for outdoor navigation in dementia. Alzheimer's & Dementia. 2016 Jun 30;12(6):695-707.
- Hoey J, Schröder T, Alhothali A. Affect control processes: intelligent affective interaction using a partially observable Markov decision process. Artificial Intelligence. 2016 Jan 31;230:134-72.
- Dhall A, Hoey J. First Impressions-Predicting User Personality from Twitter Profile Images. In International Workshop on Human Behavior Understanding 2016 Oct 15 (pp. 148-158). Springer International Publishing.
- Asghar N, Hoey J. Intelligent Affect: Rational Decision Making for Socially Aligned Agents. InProceedings of the 31st Conference on Uncertainty in Artificial Intelligence 2015 (pp. 12-16).
- Robert Radziszewski, Hubert Kenfack-Ngankam, Helene Pigot, Vincent Grégoire, Dominique Lorrain, Sylvain Girou. An Ambient Assisted living nighttime wandering system for elderly. The 18th International Conference on Information Integration and Web-based Applications & Services , 7pp. Singapore, 2016 Nov 28-30.
- Robert Radziszewski, Vincent Grégoire, Hubert Kenfack-Ngankam, Dominique Lorrain, Helene Pigot, Sylvain Giroux . Errance nocturne: limiter la déambulation et l'inquiétude de l'entourage. 45th Annual Scientific and Educational Meeting of the CAG. Montréal, 2016 Oct 22.
- Hubert Kenfack-Ngankam, Camille Deguy, Manon Moal, Sylvain Giroux, Dominique Lorrain, Helene Pigot. Smart Daily Objects for Ageing Well at Home. AGE-WELL’s 2nd Annual Conference & AGM. Montréal, 2016 Oct 19.
- Stéphanie Roy-Duarte, Helene Pigot (2016 Aug). Errance nocturne. Age 3.0 the creative aging fair. Montréal, 2016 Aug 25.
- Vincent Grégoire, Sara Caron, Denis Bélisle, Dominique Lorrain. Relation between light exposure and motor activity in sundowning institutionalized patients. 44th Annual Scientific and Educational Meeting of the CAG. Calgary, 2015 Oct 25.
- Robert Radziszewski,Vincent Grégoire, Sylvain Giroux, Dominique Lorrain, Helene Pigot, Jesse Hoey. Adapted Environment and Night Wandering in Neurodegenerative Aging. AGE-WELL’s 1st Annual Conference & AGM. Calgary, 2015 Oct 21-23.
- Helene Pigot, Marie-Michèle Rosa-Fortin, Pierre-Yves Groussard. Exhibition of technologies. Université Concordia, Montréal, 2016 Aug 25.
- Stéphanie Roy-Duarte, Helene Pigot. Best poster presentation for "Errance nocturne". Age 3.0 the creative aging fair. Montréal, 2016 Aug 25.