Visible to the public Leveraging the Effects of Cognitive Function on Input Device Analytics to Improve Security - July 2017Conflict Detection Enabled

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: Alok Goel, Ignacio X. Dominguez, Jayant Dhawan, Nischal Shrestha



  • 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. The ultimate goal of our work is the development of a novel class of security proofs that we call "Human Subtlety Proofs" (HSPs). HSPs combine the unobtrusiveness of Human Observational Proofs with the interactivity of Human Interactive Proofs, which hopefully will lead to more secure interactions.


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  • Took steps toward implementing ecologically valid studies of Human Subtlety Proofs (HSPs) using the new environments we have instrumented. Efforts emphasized the use of the newly acquired Pupil Labs eye tracking device to measure eye gaze and movement both on-task (when focusing on the computer screen) and off-task (when focusing somewhere in the environment). 

  • Piloted the HSP study with six cooperative volunteers to get feedback about the complexity of the task developed, and found it was more taxing than originally hoped for. The taxing nature of the task posed serious threats to validity, so significant effort was put in to simplify the study while maintaining validity for HSPs.