M
Mike Y. Chen
Researcher at National Taiwan University
Publications - 91
Citations - 6973
Mike Y. Chen is an academic researcher from National Taiwan University. The author has contributed to research in topics: Mobile device & Haptic technology. The author has an hindex of 30, co-authored 91 publications receiving 6401 citations. Previous affiliations of Mike Y. Chen include Intel & University of California, Berkeley.
Papers
More filters
Proceedings ArticleDOI
Activity sensing in the wild: a field trial of ubifit garden
Sunny Consolvo,David W. McDonald,Tammy Toscos,Mike Y. Chen,Jon E. Froehlich,Beverly L. Harrison,Predrag Klasnja,Anthony LaMarca,Louis LeGrand,Ryan Libby,Ian Smith,James A. Landay +11 more
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
Pinpoint: problem determination in large, dynamic Internet services
TL;DR: This work presents a dynamic analysis methodology that automates problem determination in these environments by coarse-grained tagging of numerous real client requests as they travel through the system and using data mining techniques to correlate the believed failures and successes of these requests to determine which components are most likely to be at fault.
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.
Recovery Oriented Computing (ROC): Motivation, Definition, Techniques, and Case Studies
David M. Patterson,Aaron B. Brown,Pete Broadwell,George Candea,Mike Y. Chen,James Cutler,Patricia Enriquez,Armando Fox,Matthew Merzbacher,David Oppenheimer,Naveen Sastry,William H. Tetzlaff,Jonathan Traupman,Noah Treuhaft,David A. Patterson +14 more
TL;DR: Recovery Oriented Computing (ROC) takes the perspective that hardware faults, software bugs, and operator errors are facts to be coped with, not problems to be solved, and thus offers higher availability.
Proceedings ArticleDOI
Failure diagnosis using decision trees
TL;DR: A decision tree learning approach to diagnosing failures in large Internet sites is presented, and it is found that, among hundreds of potential causes, the algorithm successfully identifies 13 out of 14 true causes of failure, along with 2 false positives.