Bermingham, Adam, O'Rourke, Julia, Gurrin, Cathal ORCID: 0000-0003-4395-7702, Collins, Ronan, Irving, Kate ORCID: 0000-0002-9255-4574 and Smeaton, Alan F. ORCID: 0000-0003-1028-8389 (2013) Automatically recommending multimedia content for use in group reminiscence therapy. First ACM MM Workshop on Multimedia Information Indexing and Retrieval for Healthcare (MIIRH), Oct 22, 2013, Barcelona, Spain .
Abstract
This paper presents and evaluates a novel approach for automatically recommending multimedia content for use in group reminiscence therapy for people with Alzheimer's and other dementias. In recent years recommender systems have seen popularity in providing a personalised experience in information discovery tasks. This personalisation approach is naturally suited to tasks in healthcare, such as reminiscence therapy, where there has been a trend towards an increased emphasis on person-centred care. Building on recent work which has shown benefits to reminiscence therapy in a group setting, we develop and evaluate a system, REMPAD, which profiles people with Alzheimer's and other dementias, and provides multimedia content tailored to a given group context. In this paper we present our system and approach, and report on a user trial in residential care settings. In our evaluation we examine the potential to use early-aggregation and late-aggregation of group member preferences using case-based reasoning combined with a content-based method. We evaluate with respect to accuracy, utility and perceived usefulness. The results overall are positive and we find that our best-performing approach uses early aggregation CBR combined with a content-based method. Also, under different evaluation criteria, we note different performances, with certain configurations of our approach providing better accuracy and others providing better utility.
Metadata
Item Type: | Article (Published) |
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Refereed: | Yes |
Additional Information: | For information contact alan.smeaton@dcu.ie |
Uncontrolled Keywords: | Dementia |
Subjects: | Medical Sciences > Mental health Medical Sciences > Geriatric nursing Medical Sciences > Nursing Computer Science > Computer software Computer Science > Information storage and retrieval systems Computer Science > Multimedia systems Computer Science > Digital video |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing Research Institutes and Centres > CLARITY: The Centre for Sensor Web Technologies |
Publisher: | ACM |
Copyright Information: | © 2013 ACM |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License |
Funders: | Science Foundation Ireland, Enterprise Ireland |
ID Code: | 18997 |
Deposited On: | 24 Oct 2013 10:21 by Alan Smeaton . Last Modified 31 Oct 2018 12:48 |
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