Leveraging the Effects of Cognitive Function on Input Device Analytics to Improve - October 2014

Public Audience
Purpose: To highlight project progress. Information is generally at a higher level which is accessible to the interested public. All information contained in the report (regions 1-3) is a Government Deliverable/CDRL.

PI(s):  David L. Roberts, Robert St. Amant
Researchers: Huseyin Sencan, Alok Goel

HARD PROBLEM(S) ADDRESSED

• Human Behavior - Our work addresses understanding human behavior through observations of input device usage. The basic principles we are developing will enable new avenues for characterizing risk and identifying malicious (or accidental) uses of systems that lead to security problems.

PUBLICATIONS
 

ACCOMPLISHMENT HIGHLIGHTS

• We have extensively tested a typing game, which has been under development for the past two quarters.
• Our early analysis of data from a pilot evaluation has been completed, and it resulted in a redesign which we expect will lead to much higher quality data. 
• The final version is ready for deployment, and we have commenced data collection.
• The team has acquired an eye-tracking device and began developing software for it to be integrated into the experiment, for additional instrumentation.
• Data analysis on the mouse movement patterns during the concentration game has also progressed, and we have identifed a number of characteristic patterns in movement hesitations.