About the Project
visuAAL is a four-year (2020-2024) Marie Skłodowska-Curie Actions Innovative Training Network, funded by the European Union, that aims at bridging the knowledge gap between users’ requirements and the appropriate and secure use of video-based AAL technologies to deliver effective and supportive care to older adults managing their health and wellbeing.
visuAAL will seek to increase awareness and understanding of the context-specific ethical, legal, privacy and societal issues necessary to implement visual system across hospital, home and community settings, in a manner that protects and reassures users; outputs will stimulate the development of a new research perspective for constructively addressing privacy-aware video-based working solutions for assisted living.
visuAAL will provide a transdisciplinary and cross-sectoral combination of training, nonacademic placements, courses and workshops on scientific and complementary skills to 15 high achieving Early Stage Researchers (ESRs). These newly hired ESRs will contribute through their individual research projects to fulfil visuAAL's aims.
visuAAL brings together 5 universities:
• Chair of Communication Science, Human-Computer Interaction Center, RWTH Aachen University, Germany
• The Swedish Law and Informatics Research Institute (IRI), Stockholm University, Sweden
• The Trinity Centre for Practice and Healthcare Innovation, School of Nursing and Midwifery, Trinity College Dublin, Ireland
• Computer Vision Lab, TU Wien, Austria
• Department of Computing Technology, Universidad de Alicante, Spain (Project Coordinator)
This Consortium is complemented by 14 partner organizations from Austria, Germany, Ireland, Italy, Portugal, Spain, Sweden, and United Kingdom; that will contribute to the research and training activities.
For more information about visuAAL, see https://www.visuaal-itn.eu/
Use of camera systems to support home based multiple chronic disease (multimorbidity) self-management
Self-management is a critical component of chronic disease management and can include activities, such undertaking daily care activities, managing medication, and proactively linking in with one’s care network (informal carers, formal carers and healthcare professionals). The rise of digital health technologies (mobile applications/phones, sensorbased devices, cameras) to assist health and well- being management of chronic diseases offers potential support for people to better manage their diseases in collaboration with their care network. Camera systems (both home-based and wearable) may be used to provide rich contextual data and insight into everyday activities to better understand the complexity of multiple disease (multimorbidity) management. This information can then be a) used to better guide self-management activities and b) shared with an individual’s care network to help develop truly collaborative goal-based interventions to support self-management. Use of cameras to better understand and augment self-management by people with multimorbidity has yet to be fully explored. This PhD will aim to understand and define the use of camera-based technologies for older adults living at home with multiple chronic health conditions (e.g. multimorbidity). Particular emphasis will be placed on understanding the factors that impact the relationship between individuals with multimorbidity and their care network.
This dissertation will explore and define the factors that impact the relationship between individuals with multimorbidity and their care network in terms of; the role of camera systems to support multimorbidity, understanding the effective use of cameras as self- management interventions; camera acceptance within the home environment; use and relevance of visual data within a care network to support selfmanagement; privacy and data protection considerations towards the use of cameras within a digital integrated care framework.
• Main Supervisor: Dr John Dinsmore (Trinity College Dublin)
• Second Supervisor: Dr F. Flórez (University of Alicante)
• Co-Supervisor: Prof Anne-Marie Brady (Trinity College Dublin)
• Advisors: Dr Julie Doyle (Dundalk Institute of Technology), Dr Lorenzo Desideri (AIAS Bologna), Massimiliano Malavasi (AIAS Bologna)
• Secondment 1: Dundalk Institute of Technology (Supervisor: Dr Julie Doyle), M18- M20: Case study examination of technology for older adults in the Irish context.
• Secondment 2: AIAS Bologna. (Supervisor: Dr Lorenzo Desideri), M31-M33: Case study examination of technology for older adults in the Italian context.
Enrolment in Doctoral degree(s):
Doctoral Programme in Health Psychology, Trinity Centre for Practice and Healthcare Innovation, School of Nursing and Midwifery, Trinity College.
How to apply?
Submit your application to https://www.visuaal-itn.eu/esr-vacancies. Please, ensure that you select vacancy number ESR7.
For questions related to this project proposal, please contact [Email Address Removed]
For all other questions, please use the following email address, clearly indicating the visuAAL vacancy number ESR7: [Email Address Removed]