A methodology for capturing and fusing unconscious cognition with computation

摘要

Based on the potential power of human-computer symbiosis, we present a methodology to capture and fuse unconscious cognition with high-powered computer analysis to improve the solution to complex computational problems. Unconscious cognition can be captured using non-intrusive sensors such as eye trackers when stimuli are controlled, and this system's response signal has the resolution to differentiate between conscious deliberate movements from the unconscious. This post-processed response signal, when combined with the power of computation, will provide a dynamic pathway to enable enhanced discovery and understanding in complex problem-solving domains, aiding effective decision-making. A central result of this paper is a methodology that can rank order unconscious cognition responses for prioritization into the computational engine, demonstrated using eye-tracking measurements on visual search.