Date of Award

8-2016

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Computer and Information Technology

First Advisor

Alka R. Harriger

Committee Chair

Alka R. Harriger

Committee Member 1

David M. Whittinghill

Committee Member 2

Baijian Yang

Abstract

Nowadays, more and more data is being generated by various software applications, services and smart devices every second. The data contains abundant information about people’s daily lives. This research explored the possibility of improving smartwatches’ context awareness by using common ubiquitous data. The researcher developed a prototype system consisting of an Android application and a web application, and conducted an experiment where 10 participants performed several tasks with the help of a smartwatch. The result showed a significant improvement of the smartwatch’s context awareness running the prototype application, which used ubiquitous data to automatically execute proper actions according to contexts. This report discusses the data and approaches that were used in the experiment, as well as how they can be generalized into real world practice. Recommendations for further study are also provided to researchers.

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