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Recommending video content for use in group-based reminiscence therapy

Bermingham, Adam, Caprani, Niamh, Collins, Ronan, Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968, Irving, Kate, O'Rourke, Julia, Yang, Yang and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2015) Recommending video content for use in group-based reminiscence therapy. In: Briassouli, Alexia, Benois-Pineau, Jenny and Hauptmann, Alexander, (eds.) Health Monitoring and Personalized Feedback using Multimedia Data. Springer. ISBN 978-3319179629

REMPAD is a semi-automated cloud-based system used to facilitate digital reminiscence therapy for patients with mild-to-moderate dementia, enacted in a group setting. REMPAD uses profiles for participants and groups to proactively recommend interactive video content from the Internet to match these profiles. In this chapter, we focus on the design of the system and then the system architecture, the system build, data curation, and usage scenarios. We also report a series of steps carried out as part of our user-centered design approach to system development, and a series of analyses on interaction logs which indicate various levels of effectiveness for different configurations of the recommendation algorithm we use. The results indicate high user satisfaction when using the system, and strong tendency towards repeated use in future.
Item Type:Book Section
Subjects:Medical Sciences > Mental health
Medical Sciences > Geriatric nursing
Computer Science > Multimedia systems
Computer Science > Information retrieval
Computer Science > Digital video
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Science and Health > School of Nursing and Human Sciences
Research Institutes and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Copyright Information:© 2015 Springer. The original publication is available at www.springerlink.com
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:20631
Deposited On:21 Jul 2015 10:43 by Alan Smeaton . Last Modified 15 Dec 2021 16:19

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