Designing Consumer-Focused Health Improvement Systems

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Designing Consumer-Focused Health Improvement Systems

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Publication Paper in proceeding
Title Designing Consumer-Focused Health Improvement Systems
Author Russo, Nancy L ; Eriksson, Jeanette
Editor Silva, Paulo ; Guerreiro, António ; Quaresma, Rui
Date 2016
English abstract
Consumers today can track health-related data via many different types of wearable devices and sensors. Health improvement systems which integrate data from personal devices and sensors with intelligent behavior modification applications can support the initiation and maintenance of behavior changes that are necessary to achieve health-related goals. The COMBI (Computerized Behavior Intervention) model and the application based on this model (eMate) demonstrate the integration of theories of behavior change in a framework on which to build an intelligent behavior modification system (Klein et al, 2014). The application, eMate, validated in several health-related settings, provides a functioning example of a consumer-focused health improvement system. Recent research highlights the importance of customizing behavior modification systems to support different user characteristics and changes over time. In this paper we present an extension of the COMBI model as an Internet of Things ecosystem which explicitly incorporates multiple types of personalization, autonomous data collection by tracking devices and sensors, and integration of actors from the user's social networks as well as healthcare professionals. Related to this extended model, the following guidelines for the design and development of consumer-focused health improvement systems are presented: (1) Personalization is essential and users should be viewed as co-designers of their personalized health improvement systems. (2) Personal monitoring devices and sensors can measure performance on relevant metrics autonomously and this data can be compared to established norms, based on user characteristics, to determine appropriate feedback. (3) The health behavior modification application must be dynamic and adapt over time to changes in the user's context and performance. (4) The system should facilitate interaction with healthcare providers and the user's social network.
Conference
Proceedings of the 10th European Conference on Information Systems Management (8-9 September 2016 : Evora, Portugal)
Link https://search.proquest.com/openview/541bb78c31e84... (external link to publication)
Publisher Academic Conferences and Publishing International Limited
Host/Issue Proceedings of the 10th European Conference on Information Systems Management;
ISSN 2048-8912
ISBN 978-1-911218-06-7
Language eng (iso)
Subject intelligent behavior modification
persuasive system design
internet of things
Technology
Research Subject Categories::TECHNOLOGY
Handle http://hdl.handle.net/2043/25956 Permalink to this page
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