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Automatically recommending multimedia content for use in group reminiscence therapy

Bermingham, Adam, O'Rourke, Julia, Gurrin, Cathal orcid logoORCID: 0000-0003-4395-7702, Collins, Ronan, Irving, Kate orcid logoORCID: 0000-0002-9255-4574 and Smeaton, Alan F. orcid logoORCID: 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)
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 Initiatives 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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