Jacob O. Wobbrock




I am an Associate Professor in the Information School and, by courtesy, in Computer Science & Engineering at the University of Washington. I chair the Master of Human-Computer Interaction & Design program and direct the Mobile & Accessible Design Lab. I am a founding member of the DUB Group.

My field is human-computer interaction (HCI). My research seeks to scientifically understand people's interactions with computers and information, and to improve those interactions through design and engineering, particularly for people with disabilities. My specific research topics include: (i) input techniques (text entry, pointing, touch, gesture, voice, gaze), (ii) mobile and tabletop user interfaces, (iii) human performance with computers, (iv) HCI research and design methods, and (v) accessible computing for people with disabilities.

My work has received 19 paper awards, including 7 best papers and 7 honorable mentions from ACM CHI. Some of my notable projects are the $-family gesture recognizers, the end-user elicitation design method, the Slide Rule design for accessible touchscreen gestures, ARTool for nonparametric factorial statistical analyses, and the EdgeWrite text entry method. I am currently developing ability-based design, a design approach in which the human abilities required to operate a technology are questioned, and systems are made operable by and adaptable to alternative abilities.

My Ph.D. students come primarily from UW Ph.D. programs in information science and computer science.

I am also an entrepreneur, having co-founded AnswerDash, a company that provides context-sensitive help to websites. I was AnswerDash's venture-backed CEO from September 2012 – May 2015, its Chief Scientist from May – December 2015, and its Chief Experience Officer (CXO) thereafter. I have also worked in other industry jobs and occasionally serve as an expert witness on intellectual property matters.

More info here.

Customize your search:

E.g., 2017-03-01
E.g., 2017-03-01
E.g., 2017-03-01
Feb 20th 2017

You will never know whether you have an effective user experience until you have tested it with users. In this course, you’ll learn how to design experiments, how to run experiments, and how to analyze data from these experiments in order to evaluate and validate user experiences. You will work through real-world examples of experiments from the fields of IxD and HCI, understanding issues in experiment design and analysis. You will analyze multiple data sets using recipes given to you in the R statistical programming language -- no prior programming experience is assumed or required.

Average: 1 (1 vote)