Visualize my data! : translating smart home sensor data into relevant feedback for elderly, informal caregivers and formal caregivers

Beunk, Noreen (2015) Visualize my data! : translating smart home sensor data into relevant feedback for elderly, informal caregivers and formal caregivers.

Abstract:Background: As older people are intended to live at home for as long as possible, the use of Smart Home technologies become increasingly important, for example monitoring the elderly on a distance. The sensor data generated by Smart sensors can be translated into relevant information for elderly themselves, their formal caregivers and their informal caregivers, but it is relatively unexplored how to convert this sensor data into knowledge and how to provide feedback to its users. Objective: The objective of this study is to identify the needs and wishes of formal caregivers, informal caregivers and elderly about the relevance and visualization of Smart Home sensor information for a Personal Health Record (PHR) and the Electronic Patient Record (EPR) and for providing persuasive messages and assistance for elderly. Methods: For this study, the CeHRes Roadmap is applied and the formative research phases of contextual inquiry, value specification and (pre)design were performed. Semi-structured interviews with elderly and informal caregivers and a focus group with formal caregivers were conducted. Results: The results showed that caregivers and elderly overall had a positive attitude towards home monitoring. Main results show that a health summary visualized in a status display that allowed the elderly and caregivers to obtain more in-depth information is preferred and also the use of persuasive messages and assistance for elderly can be valuable. The possibility to set personal preferences regarding the user interface was found important. Conclusions: In conclusion, this study provides a basis for the further analysis of sensor data gathered from Smart Homes technologies and the development of a PHR and the content of the EPR. It also gives recommendations about providing persuasive messages and assistance to elderly. This study can contribute to the question how to convert Smart Home sensor data into knowledge, information and persuasive feedback and how to visualize relevant information in a meaningful, holistic, understandable, usable but concise manner that concentrates on regular living aspects by using a human-centered approach.
Item Type:Essay (Master)
Unknown organization, Nederland
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:70 social sciences in general, 88 social and public administration
Programme:Health Sciences MSc (66851)
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