Modeling the progression of Alzheimer's disease for cognitive assistance in smart homes

  • Authors:

  • Audrey Serna;Hélène Pigot;Vincent Rialle

  • Affiliations:

  • Laboratoire TIMC-IMAG, UMR CNRS 5525, Bâtiment Jean Roget, Faculté de médecine, Domaine de la Merci, La Tronche, Grenoble, France 38706;DOMUS Laboratory, Université de Sherbrooke, Sherbrooke, Canada;Laboratoire TIMC-IMAG, UMR CNRS 5525, Bâtiment Jean Roget, Faculté de médecine, Domaine de la Merci, La Tronche, Grenoble, France 38706

  • Venue:
  • User Modeling and User-Adapted Interaction
  • Year:
  • 2007

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Abstract

Smart homes provide support to cognitively impaired people (such as those suffering from Alzheimer's disease) so that they can remain at home in an autonomous and safe way. Models of this impaired population should benefit the cognitive assistance's efficiency and responsiveness. This paper presents a way to model and simulate the progression of dementia of the Alzheimer's type by evaluating performance in the execution of an activity of daily living (ADL). This model satisfies three objectives: first, it models an activity of daily living; second, it simulates the progression of the dementia and the errors potentially made by people suffering from it, and, finally, it simulates the support needed by the impaired person. To develop this model, we chose the ACT-R cognitive architecture, which uses symbolic and subsymbolic representations. The simulated results of 100 people suffering from Alzheimer's disease closely resemble the results obtained by 106 people on an occupational assessment (the Kitchen Task Assessment).