Performed qualitative user research using diary studies, semi-structured interviews, and focus groups that concentrated on exploring how people coordinate their daily social activities, which technologies they use and why, and what difficulties and problems they encounter when doing so.Conducted iterative usability studies and user testing on social/friend-group coordination and communication applications and prototypes. Methods used included semi-structured interviews, thinking aloud protocol analysis, focus groups, and benchmarking.Developed multiple iterations of an Android application used to research novel interface designs for social group activity coordination. Designed and implemented an Openfire (Java XMPP Server) plugin that realized an XMPP protocol extension used by iPhone, Android, Windows Mobile, and Web based clients.Developed an Android application that was used to test the feasibility and user experience of mobile context aware matching.Managed and mentored students as neophyte developers in backend and mobile development

User Experience Design:This course focused on guiding students through a large sampling of the user experience design process. It used the scenario based design methodology and approach to understanding user needs and goals and supporting the creation of designs to meet them. The students were guided through claims and precedent analysis, persona creation, card sorting, scenario generation, wireframes, and storyboards. These activities were iterative in nature and gradually built upon each other to the creation of a comprehensive design document.Computer, Society & Ethics:This goal of this course was to provide future technological professionals a foundation and understanding of the various ethical theories and how to apply them to various technological and social problems from the past, present, and what they may face in the future. This course challenged students to understand and think about technology not just from a business or software development perspective but from a moral perspective by exploring the various social impacts and ramifications at both the macro (societal) and micro (technological professional) level.

Investigated and developed a practical large scale WiFi location estimation system merging heuristics and Bayesian inference models that was accurate indoors up to 5 meters. Developed a Windows Mobile 6 application that was used to research and understand individual’s behavior during call handling decisions. Created multiple iterations of wireframes and low-fidelity mockups of mobile phone caller and receiver interfaces exploring the best way to allow callers to provide additional call information and context to the receiver so that the receiver may make better call handling decisions.Participated and conducted usability evaluation of various prototypes of the caller and receiver interfaces. Primary evaluation methods used were thinking aloud protocol analysis and task scenarios with task completion interviews.Developed and deployed a location-aware Wiki in order to investigate the ramifications of simple location-aware systems.