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Beverly L. Harrisonbeverly dot harrison at intel dot com1100 NE 45th St. 6th Floor Seattle, WA 98105 206.545.2503 206.633.6504 (fax) Administrator: Cherie Collins |
Biography
Beverly Harrison joined Intel Research Seattle in 2005 as a senior scientist specializing in Human Computer Interaction and User Experience. She also holds two affiliate faculty appointments as associated professor at University of Washington in the Computer Science and Engineering Dept and in the Information School. She received degrees in B. Mathematics (Computer Science, Waterloo), M.A.Sc and Ph.D. (Human Factors Engineering, Toronto). She has worked in industrial research labs for over 15 years including Nortel, Alias/SGI, Xerox PARC, IBM Research, and most recently Intel Research. In 1998-2000, she spent 2 years at a successful startup company in the e-book space, SoftBook Press/Gemstar International as Director of User Experience. She has numerous publications, holds over 25 patents and serves on a number of HCI related conference committees. Her research interests include the design and evaluation of novel mobile and/or sensor-based technologies for ubiquitous computing applications. Most recently Beverly has been focusing on applications for wearable sensor-based systems that embed machine learning and statistical models of human behavior and context-aware user interfacesResearch
Everyday Sensing and Perception – using wearable and environmentally embedded sensors, we apply statistical models of human behavior to infer context and create adaptive user interfaces.
The design and evaluation of novel mobile applications and handheld device user interfaces.
Recent Publications
- Examining Difficulties Software Developers Encounter in the Adoption of Statistical Machine Learning. K. Patel, J. Fogarty, J. Landay, B. Harrison. Proceedings of AAAI 2008.
- Using Wearable Sensors and Real time Inference to Understand Human Recall of Human Activities P. Klasnja, B. Harrison, L. LeGrand, A. LaMarca, J. Froehlich, S. E. and Hudson, S. E. To appear in Ubicomp 2008. Sept, 2008.
- Whack Gestures: An Example of Inattentive and Inexact Interaction with Mobile Devices. S. E. Hudson, C. Harrison, B. Harrison, A. LaMarca. Submitted for publication. 2008
- The Mobile Sensing Platform: An Embedded Activity Recognition System. T. Choudhury, G. Borriello, S. Consolvo, D. Haehnel, B. Harrison, B. Hemingway, J. Hightower, P. Klasnja, K. Koscher, A. LaMarca, J. Lester, J. Landay, L. Legrand, A. Rahimi, A. Rea, D. Wyatt. IEEE Pervasive Computing, vol. 7, no. 2, pp. 32-41, IEEE Computer Society Press, April-June 2008
- Conducting In Situ Evaluations for and with Ubiquitous Technologies. S. Consolvo, B. Harrison, I. Smith, M.Y. Chen, K. Everitt, J. Froehlich, & J.A. Landay. International Journal of Human-Computer Interaction, Vol. 22, No. 1-2, (2007), Pages 103-118.
- MyExperience: A System for In Situ Tracing and Capturing of User Feedback on Mobile Phones. J. Froehlich, M. Chen, S. Consolvo, B. Harrison, & J.A. Landay. Proceedings of MobiSys- the 5th International Conference on Mobile systems, applications, and services: MobiSys '07, San Juan, Puerto Rico, (Jun 2007), pp.57-70.
- Activity Sensing in the Wild: A Field Trial of UbiFit Garden. S. Consolvo, M. Chen, J. Froehlich, B. Harrison, P. Klasnja, A. LaMarca, R. Libby, I. Smith, T. Toscos, D. Mcdonald, and J. Landay, J. In Proceedings of CHI 2007.
- Investigating Statistical Machine Learning as a Tool For Software Development. K. Patel, J. Fogarty, J. Landay, B. Harrison. In Proceedings of CHI 2007.
