Cognitive context detection using pupillary measurements

Pujitha Mannaru; Balakumar Balasingam; Krishna Pattipati; Ciara Sibley; Joseph Coyne

doi:10.1117/12.2224176

12 May 2016 Cognitive context detection using pupillary measurements

Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, Joseph Coyne

Author Affiliations +

Proceedings Volume 9851, Next-Generation Analyst IV; 98510Q (2016) https://doi.org/10.1117/12.2224176
Event: SPIE Defense + Security, 2016, Baltimore, MD, United States

Abstract

In this paper, we demonstrate the use of pupillary measurements as indices of cognitive workload. We analyze the pupillary data of twenty individuals engaged in a simulated Unmanned Aerial System (UAS) operation in order to understand and characterize the behavior of pupil dilation under varying task load (i.e., workload) levels. We present three metrics that can be employed as real-time indices of cognitive workload. In addition, we develop a predictive system utilizing the pupillary metrics to demonstrate cognitive context detection within simulated supervisory control of UAS. Further, we use pupillary data collected concurrently from the left and right eye and present comparative results of the use of separate vs. combined pupillary data for detecting cognitive context.

Citation Download Citation

Pujitha Mannaru, Balakumar Balasingam, Krishna Pattipati, Ciara Sibley, and Joseph Coyne "Cognitive context detection using pupillary measurements", Proc. SPIE 9851, Next-Generation Analyst IV, 98510Q (12 May 2016); https://doi.org/10.1117/12.2224176

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