Quantifying Trust, Distrust, and Suspicion in Human-System Interactions
Abstract
In this research effort we used our new usability lab containing a state-of-the art suite of cognitive, physiological, and behavioral measurement devices to isolate and quantify the various low level variables that indicate the level of trust that is present while a person works with his or her computer system. Recent advances in Biomedical Engineering have resulted in the development of extremely non-invasive brain measurement devices. These devices hold great potential for the quantitative, real-time measurement of user states during realistic human-computer interactions. This research effort built upon our previous research; where we developed techniques to enhance usability testing with functional near infrared spectroscopy (fNIRS) and Electroencephalography (EEG). Our primary goal was to apply our research to the AFOSR Denial & Disrupt project, measuring the effects of various interface disruptions on users' cognitive workload. In this effort, we continued our research with non-invasive brain measurement and explored the quantitative measurement of trust, distrust, and suspicion while a user works with his or her computer system. This timely research holds great potential in the cyber-operations domain, where we can use cognitive measures to understand the level of suspicion and trust that adversarial computer operators (who we are monitoring and/or disrupting) have toward their computer system. We can also use these measures defensively, training our own military personnel to develop the cognitive awareness and skill set needed to detect breaches in US security.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 26, 2015
- Accession Number
- ADA624432
Entities
People
- Leanne Hirshfield
- Stuart Hirshfield
Organizations
- Hamilton College