Exploiting Unobtrusive Psychophysiological Sensors and Work Context to Enhance Monitoring of Human-Automation Interaction

Period of Performance: 05/19/2014 - 11/19/2014

$150K

Phase 1 SBIR

Recipient Firm

Stottler Henke Associates
1650 South Amphlett Boulevard, Suite 300
San Mateo, CA 94402
Principal Investigator

Abstract

We propose a three-pronged approach to advancing the state of the art in human state assessment. First, we will employ a small number of complementary sensors that can be naturally integrated into the work setting without complicated setup requirements. By integrating unobtrusively into the operator s environment, we hope to minimize the artificiality that can impact operator behavior. Second, in order to successfully connect the collected mental state data to the human-automation interaction, our system will analyze that data in the context of data describing the operator s attention dynamics and physical performance as well as the status of the automation involved. Finally, we will employ a unified probabilistic framework that will allow the proposed system to fuse the disparate data sources in a manner that: exploits their partial redundancy to mitigate the effects of data artifacts and missing values; appreciates the temporal nature of the data to allow for the analysis of trends rather than absolute values; and enables simultaneous reasoning bottom-up (from data) and top-down (task-based hypotheses). Our Phase I research and prototyping will result in a proof-of-concept prototype with sufficient depth to set the stage for the complete implementation of a human state assessment framework in Phase II.