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Beverly L. Harrison

Researcher at Intel

Publications -  70
Citations -  8401

Beverly L. Harrison is an academic researcher from Intel. The author has contributed to research in topics: User interface & User interface design. The author has an hindex of 41, co-authored 70 publications receiving 8157 citations. Previous affiliations of Beverly L. Harrison include Xerox & University of Toronto.

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Proceedings ArticleDOI

Activity sensing in the wild: a field trial of ubifit garden

TL;DR: This work has developed a system, UbiFit Garden, which uses on-body sensing and activity inference and a personal, mobile display to encourage physical activity to address the growing rate of sedentary lifestyles.
Proceedings ArticleDOI

Bridging physical and virtual worlds with electronic tags

TL;DR: A novel combination of inexpensive, unobtrusive and easy to use RFID tags, tag readers, portable computers and wireless networking demonstrates theility of invisibly, seamlessly and portably linking physical objects to networked electronic services and actions that arenaturally associated with their form.
Journal ArticleDOI

The Mobile Sensing Platform: An Embedded Activity Recognition System

TL;DR: In this article, a wearable activity recognition system is proposed to recognize human activities from body-worn sensors, which can further open the door to a world of healthcare applications, such as fitness monitoring, eldercare support, long-term preventive and chronic care, and cognitive assistance.
Proceedings ArticleDOI

UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits

TL;DR: This paper explores the use of personal ambient displays on mobile phones to give users feedback about sensed and self-reported transportation behaviors, and presents a working system for semi-automatically tracking transit activity and a visual design capable of engaging users in the goal of increasing green transportation.
Proceedings ArticleDOI

MyExperience: a system for in situ tracing and capturing of user feedback on mobile phones

TL;DR: This paper presents MyExperience, a system for capturing both objective and subjective in situ data on mobile computing activities, and presents several case studies of field deployments on people's personal phones to demonstrate how MyExperience can be used effectively to understand how people use and experience mobile technology.