Login (DCU Staff Only)
Login (DCU Staff Only)

DORAS | DCU Research Repository

Explore open access research and scholarly works from DCU

Advanced Search

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 .

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.
Item Type:Article (Published)
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
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

Full text available as:

[thumbnail of rempad_miirh.pdf]
PDF - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader


Downloads per month over past year

Archive Staff Only: edit this record