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Oblivion Tracking: Towards a Probabilistic Working Memory Model for the Adaptation of Systems to Alzheimer Patients

Published:09 July 2017Publication History

ABSTRACT

We introduce a new probabilistic working memory (WM) model that we intend to use to automatically personalize user interfaces with respect to Alzheimer patients' declining WM capacity. WM is the part of the human memory responsible for the conscious short-term storing and manipulation of information. It is known to be extremely limited and to be one of the strongest factors that impact individual differences in cognitive abilities. In particular, individuals suffering from Alzheimer's disease have significantly impaired WM capacities that worsen as the disease progresses. As a use case for our model, we describe a system that is designed to help patients with Alzheimer's disease choose the music track they would like to listen to from a given playlist. We discuss how our WM model could be used to adapt this system to each patient's disease progression in time and the consequent deterioration of her WM capacity.

References

  1. Alzheimer's Association. 2017. Communication and Alzheimer. (2017).Google ScholarGoogle Scholar
  2. A. Baddeley. 1992. Working Memory Alan Baddeley. Science, Vol. 255, 5044 (1992), 556--559.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Oblivion Tracking: Towards a Probabilistic Working Memory Model for the Adaptation of Systems to Alzheimer Patients

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      • Published in

        cover image ACM Conferences
        UMAP '17: Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization
        July 2017
        456 pages
        ISBN:9781450350679
        DOI:10.1145/3099023

        Copyright © 2017 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 9 July 2017

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