Michael Toomim - Seattle WA, US James Fogarty - Seattle WA, US James Landay - Seattle WA, US Nathan Morris - Seattle WA, US Tadayoshi Kohno - Seattle WA, US
Assignee:
University of Washington - Seattle WA
International Classification:
H04L 9/00 G06F 21/00
US Classification:
726 5, 713183
Abstract:
Access to resource(s) intended to be shared with specific groups of individuals is controlled using concise tests of shared knowledge instead of (or in addition) to accounts and access control lists. Users can readily learn the concept and choose questions that will control the access by the desired group with little effort. Such questions can be relatively secure to guesses by those not intended to have access, particularly if the number of allowed guesses is relatively limited. Users can generally predict the security of their questions, but sometimes underestimate the ability of attackers to use Web searching or enumeration to discover answers. In such cases, the system can automatically discover weak questions and then suggest alternatives. By lowering the threshold to access control, shared knowledge tests can enable more types of information to acquire collaborative value on the Internet and on other types of networks.
Time Domain Embedding Of Application Information In An Rfid Response Stream
Joshua Smith - Seattle WA, US James Landay - Seattle WA, US
International Classification:
G08B 13/14 H04Q 5/22 G08B 1/08
US Classification:
340572100, 340010100, 340539260
Abstract:
According to some embodiments, a radio frequency identification (RFID) tag communicates additional information using a series of selective responses. For example, one or more sensors may be coupled to an RFID tag. The RFID tag responds to multiple RFID polls using a vector of selective responses to encode sensor state. A selective response may include a response with an identification code, a non-response, and a response with a different identification code.
Douglas King van Duyne - Los Gatos CA, US James Anthony Landay - Oakland CA, US Mark Newman - Oakland CA, US
Assignee:
Keynote Systems, Inc. - San Mateo CA
International Classification:
G06F017/60
US Classification:
705 10, 463 17, 463 40
Abstract:
A method and apparatus for automatically gathering research data for a website. The method includes forming questions in a question set that are a measure of a research metric to be gathered for the website, partitioning the question set into a plurality of subsets of questions, identifying participants to query, and only presenting a subset of questions from the question set to each participant. Responses are gathered from each participant to the questions presented for the research metric and the participants' responses are combined to produce an index of the research metric.
Personalized Language Learning Using Language And Learner Models
- Redmond WA, US Matthew Robert Scott - Beijing, CN James Landay - Seattle WA, US
Assignee:
Microsoft Corporation - Redmond WA
International Classification:
G09B 19/06
US Classification:
434157
Abstract:
A two-model personalized language learning system and method that facilitates the learning of a new language (or a language not native to the learner) in a customizable way that is deeply personalized to the learner. Embodiments of the system and method define a learner model including personalized information about the learner and define a language model that describes language information specific to the language. A combination of the learner model and the language model are used to help the learner learn the language. Specifically, the learner and language models are used to create content for flashcards that are displayed to the learner. Responses from the learner are used to update both the learner and language models. Embodiments of the system and method also allow the learner to play skill-based games that teach and reinforce a particular language skill that the learner desires to master.
Isbn (Books And Publications)
The Design Of Sites: Patterns For Creating Winning Web Sites
Stanford University
Professor of Computer Science
Cornell University Aug 2013 - Jul 2014
Professor
University of Washington Sep 2010 - Jul 2013
Short-Dooley Professor
University of Washington Jul 2003 - Sep 2010
Associate Professor
Microsoft 2009 - 2009
Visitor
Education:
Carnegie Mellon University 1990 - 1996
Doctorates, Doctor of Philosophy, Computer Science
Carnegie Mellon University 1993
Master of Science In Computer Science, Masters
University of California, Berkeley 1985 - 1990
Bachelors, Bachelor of Science, Electrical Engineering, Computer Science
Santa Monica High School
Skills:
Human Computer Interaction User Centered Design Computer Science User Interface Design User Experience User Interface Usability Testing Interaction Design Mobile Applications Heuristic Evaluation User Research Research Design Machine Learning Web Design Software Development Ubiquitous Computing Contextual Inquiry Software Design Research Software Engineering Information Visualization Design Thinking Blitzscaling