Zero Effort Technologies

Zero Effort Technologies
Considerations, Challenges, and Use in Health, Wellness, and Rehabilitation

Alex Mihailidis, Jennifer Boger, Jesse Hoey, Tizneem Jiancaro
ISBN: 9781608455195 | PDF ISBN: 9781608455201
Copyright © 2011 | 94 Pages | Publication Date: 01/01/2011

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This book introduces zero-effort technologies (ZETs), an emerging class of technology that requires little or no effort from the people who use it. ZETs use advanced techniques, such as computer vision, sensor fusion, decision-making and planning, and machine learning to autonomously operate through the collection, analysis, and application of data about the user and his/her context. This book gives an overview of ZETs, presents concepts in the development of pervasive intelligent technologies and environments for health and rehabilitation, along with an in-depth discussion of the design principles that this approach entails. The book concludes with a discussion of specific ZETs that have applied these design principles with the goal of ensuring the safety and well-being of the people who use them, such as older adults with dementia and provides thoughts regarding future directions of the field.

Table of Contents

Lecture Overview
Introduction to Zero Effort Technologies
Designing ZETs
Building and Evaluating ZETs
Examples of ZETs
Conclusions and Future Directions

About the Author(s)

Alex Mihailidis, University of Toronto
Dr. Mihailidis in the Barbara G. Stymiest Research Chair in Rehabilitation Technology at the University of Toronto Rehab Institute. He is an Associate Professor in the Department of Occupational Science and Occupational Therapy (U of T) and in the Institute of Biomaterials and Biomedical Engineering, with a cross appointment in the Department of Computer Science. He has been conducting research in the field of pervasive computing and intelligent home systems for elder care and wellness, technology for children with autism, and adaptive tools for nurses and clinical applications. Dr. Mihailidis is also very active in the rehabilitation engineering profession, currently as the President-Elect for RESNA (Rehabilitation Engineering and Assistive Technology Society of North America.

Jennifer Boger, University of Toronto
Jennifer has been an active member in the field of computerized assistive technology for enhancing safety and independence for older adults and people with disabilities for more than eight years. Apart from advancing the technological capabilities of computer-based assistive technologies, Jennifer's interests include the application of user-centered design to the assistive technology development process, the advancement of zero-effort technologies, and actively perusing collaboration between the diverse spectrum of stakeholders involved in the field of assistive technologies.

Jesse Hoey, University of Waterloo
Dr. Jesse Hoey is an assistant professor in the David R. Cheriton School of Computer Science at the University of Waterloo. His also an adjunct scientist at the Toronto Rehabilitation Institute and an Honorary Research Fellow at the University of Dundee, Scotland. His research focuses on planning and acting in large-scale, real-world uncertain domains. He has published over 30 peer reviewed scientific papers in highly visible journals and conferences. He has published over 30 peer reviewed scientific papers in highly visible journals and conferences. He won the Microsoft AAAI Distinguished Contribution Award at the 2008 IJCAI Workshop on Intelligent Systems for Assisted Cognition, for his paper on technology to facilitate creative expression in persons with dementia.

Tizneem Jiancaro, University of Toronto
Tizneem is a doctoral student at the University of Toronto, affiliated with the Department of Rehabilitation Science and the Institute of Biomaterials and Biomedical Engineering. Her background combines studies in engineering and cognitive science with work exploring the integration of human factors within design. Currently, she is interested in connections between healthcare, technology, and complex systems, and she is working on a best practices design guide to support development of technologies for Alzheimer's care.

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