From Personalized Medicine to Population Health: A Survey of mHealth Sensing Techniques

Mobile Sensing Apps have been widely used as a practical approach to collect behavioral and health-related information from individuals and provide timely intervention to promote health and well-beings, such as mental health and chronic cares. As the objectives of mobile sensing could be either \emph{(a) personalized medicine for individuals} or \emph{(b) public health for populations}, in this work we review the design of these mobile sensing apps, and propose to categorize the design of these apps/systems in two paradigms -- \emph{(i) Personal Sensing} and \emph{(ii) Crowd Sensing} paradigms. While both sensing paradigms might incorporate with common ubiquitous sensing technologies, such as wearable sensors, mobility monitoring, mobile data offloading, and/or cloud-based data analytics to collect and process sensing data from individuals, we present a novel taxonomy system with two major components that can specify and classify apps/systems from aspects of the life-cycle of mHealth Sensing: \emph{(1) Sensing Task Creation \& Participation}, \emph{(2) Health Surveillance \& Data Collection}, and \emph{(3) Data Analysis \& Knowledge Discovery}. With respect to different goals of the two paradigms, this work systematically reviews this field, and summarizes the design of typical apps/systems in the view of the configurations and interactions between these two components. In addition to summarization, the proposed taxonomy system also helps figure out the potential directions of mobile sensing for health from both personalized medicines and population health perspectives.Comment: Submitted to a journal for revie

Using the Android Tablet to develop a game platform for older adults

Tese de mestrado integrado. Engenharia Informática e Computação. Universidade do Porto. Faculdade de Engenharia. 201

Usable Security for Wireless Body-Area Networks

We expect wireless body-area networks of pervasive wearable devices will enable in situ health monitoring, personal assistance, entertainment personalization, and home automation. As these devices become ubiquitous, we also expect them to interoperate. That is, instead of closed, end-to-end body-worn sensing systems, we envision standardized sensors that wirelessly communicate their data to a device many people already carry today, the smart phone. However, this ubiquity of wireless sensors combined with the characteristics they sense present many security and privacy problems. In this thesis we describe solutions to two of these problems. First, we evaluate the use of bioimpedance for recognizing who is wearing these wireless sensors and show that bioimpedance is a feasible biometric. Second, we investigate the use of accelerometers for verifying whether two of these wireless sensors are on the same person and show that our method is successful as distinguishing between sensors on the same body and on different bodies. We stress that any solution to these problems must be usable, meaning the user should not have to do anything but attach the sensor to their body and have them just work. These methods solve interesting problems in their own right, but it is the combination of these methods that shows their true power. Combined together they allow a network of wireless sensors to cooperate and determine whom they are sensing even though only one of the wireless sensors might be able to determine this fact. If all the wireless sensors know they are on the same body as each other and one of them knows which person it is on, then they can each exploit the transitive relationship to know that they must all be on that person’s body. We show how these methods can work together in a prototype system. This ability to operate unobtrusively, collecting in situ data and labeling it properly without interrupting the wearer’s activities of daily life, will be vital to the success of these wireless sensors

The design and evaluation of a mobile handheld intervention for providing context-sensitive medication reminders

Thesis (S.M.)--Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2005.Includes bibliographical references (leaves 121-124).This work introduces the design and exploratory evaluation of a home reminder system for medication and healthcare that situates the timing and location of reminders based on contextual information about the user. The system consists of three major components: 1) a handheld computing interface for providing reminders, 2) a sensor subsystem integrated into the home environment, and 3) a central server that manages medical tasks and reasons over sensor data in real time. A volunteer participant adhering to a complex regimen of simulated medical tasks is closely observed in a residential research facility. The participant is presented with both context-sensitive reminders and reminders that are scheduled at fixed times during the day. The degree of adherence to the regimen, and the participant's own assessment of the usefulness of each reminder (while blinded to the reminder strategy being used), are evaluated over the course of a 10-day study. Quantitative and qualitative results are provided, comparing the efficacy of context-sensitive reminders over fixed-time reminders with respect to adherence and perceived value.by Pallavi Kaushik.S.M

From Context to Content: Designing Sensor Support for Reflective Learning

This thesis examines how wearable sensor systems can support reflective learning by monitoring work experiences. A design space is defined that guides designers to build systems that can provide content for reflection. Wearable sensors and applications have been developed and evaluated to capture the affective and social context in workplace settings. It is a first step towards the generation of learning content from sensor data

Active Sensing for Partially Observable Markov Decision Processes

Context information on a smart phone can be used to tailor applications for specific situations (e.g. provide tailored routing advice based on location, gas prices and traffic). However, typical context-aware smart phone applications use very limited context information such as user identity, location and time. In the future, smart phones will need to decide from a wide range of sensors to gather information from in order to best accommodate user needs and preferences in a given context. In this thesis, we present a model for active sensor selection within decision-making processes, in which observational features are selected based on longer-term impact on the decisions made by the smart phone. This thesis formulates the problem as a partially observable Markov decision process (POMDP), and proposes a non-myopic solution to the problem using a state of the art approximate planning algorithm Symbolic Perseus. We have tested our method on a 3 small example domains, comparing different policy types, discount factors and cost settings. The experimental results proved that the proposed approach delivers a better policy in the situation of costly sensors, while at the same time provides the advantage of faster policy computation with less memory usage

Efficient Context-aware Real-time Processing of Personal Data Streams

In this dissertation we propose a framework for the development of innovative mobile applications that are context-aware in processing of real-time personal data streams by taking into account the resource limitation on mobile devices, in order to achieve an efficient processing of real-time sensor data on mobile devices for various use cases

Engaging older adults and people with dementia in the design of digital technologies

PhD ThesisImprovements in healthcare and nutrition have led to increased life expectancies for people around the world, and a growing need to support the larger numbers of older people living with chronic and age-related health conditions. Although the use of digital technologies is increasingly proposed for health and social care solutions, in practice the designers of these technologies are ill equipped to actively engage older people and in particular people with syndromes such as dementia. An examination of previous work on design for older people, and people with dementia, suggests that poor design arises from a gulf in knowledge and experience between the designers and their subjects. To address this divide the KITE participatory design method for engaging people with dementia in design is proposed. KITE facilitates engagement by structuring and scaffolding an empathic relationship between designers and their participants. The approach is elaborated and evaluated through an exercise to design a digital technology to help people with dementia have safe walking experiences. The analysis of this process leads to the formulation of the OASIS design method which is intended to apply to older people more generally. OASIS is evaluated and refined through a number of design studies for technologies to support healthy eating, day-to-day travelling needs and living safely within the community. Reflection on the application of the OASIS method highlights a number of key strategies that can be used to establish and maintain respectful, empathic, and productive participatory design relationships with older adults and people with dementia

Homes for Life & Other Stories The Use and Evaluation of Design Fiction as a Means to Understand Sensitive Settings: a Case Study of Exploring Technologies for Dementia Care

Design fictions are used in HCI to position emerging technologies in fictional future worlds, through which the complexities of our relationships with technologies can be represented, explored and experienced. They promise to stimulate discussions about sensitive topics, such as the future of technology-enabled care, a complex area with contrasting emotional, social and practical views and wishes. However, the term design fiction is currently associated with a wide range of uses, and artefacts. It is also linked to contrasting philosophies and frameworks, which are often not made explicit, as I show in an initial survey with practitioners. This makes it difficult to identify what makes a design fiction good or effective for different purposes. This thesis aims to answer the research question: How can design fiction be used and evaluated in understanding sensitive settings? I turn to the Constructive Design Research framework and adapt it to classify how design fiction is used in HCI. I outline how design fiction can be used in the showroom approach, where it is most commonly placed, but also how it can be used as a lab and field approach to gather insights into the responses to design fictions. I developed design fictions and explored how they can be used to further discussions around the use of monitoring technologies in dementia care: an area challenging to research because of ethical issues associated with deployment studies of prototype technologies. The contribution of this thesis is threefold: first, a methodological contribution into the use of design fiction in HCI and an evaluation of the Constructive Design Research framework as a means to classify research through design fiction. Second, insights into participants’ views and wishes about technology-led care in regards to dementia. Third, a design contribution of artefacts that can be used to stimulate further debate around the topic

The involvement of users in the design of home use medical devices: challenges and incentives for change

The prevalence and use of medical devices in the home environment continues to grow in the United Kingdom (UK) and Worldwide. It is recognised that such devices offer significant benefits to both patients and the National Health Service in the UK. The design of home use medical devices however represents a considerable challenge to designers and manufacturers alike. Developing devices that are usable and understandable by inexperienced, lay or dexterity impaired users requires an understanding across a breadth of disciplines. Previous research in this field has explored these challenges in attempt to offer support for developers of home use medical devices. There have been very few studies however that have explored whether the design community actually need, want or use such guidance, before considering whether this literature is adopted correctly. Through case studies, an online survey and in depth interviews this thesis suggests that industry practitioners are sceptical of the value of design guidance towards user involvement in home use medical device design. Consequently the practitioners in this research make little or no use of the formal design methods and supportive guidance documents available to them. More typically, practitioners in the home use medical device field use their own personal experiences and knowledge from working in the industry to adapt their own approaches to design. This thesis reports that the greatest challenge to involving users in the design of home use medical devices are the internal corporate and traditionally hierarchical barriers between stakeholders within the design process. In contrast to previous research offering support for designers and developers of home use medical devices this thesis calls for a wider change in design practice to facilitate the application of usability principles. As a conclusion to this thesis, recommendations for further research to address these changes in practice are proposed to industry professionals in the medical device industry. This thesis is submitted as part of the requirement for the Degree of Doctor of Philosophy at Loughborough University