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Proceedings Paper

Cognitive context detection using pupillary measurements
Author(s): Pujitha Mannaru; Balakumar Balasingam; Krishna Pattipati; Ciara Sibley; Joseph Coyne
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Paper 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.

Paper Details

Date Published: 12 May 2016
PDF: 8 pages
Proc. SPIE 9851, Next-Generation Analyst IV, 98510Q (12 May 2016); doi: 10.1117/12.2224176
Show Author Affiliations
Pujitha Mannaru, Univ. of Connecticut (United States)
Balakumar Balasingam, Univ. of Connecticut (United States)
Krishna Pattipati, Univ. of Connecticut (United States)
Ciara Sibley, U.S. Naval Research Lab. (United States)
Joseph Coyne, U.S. Naval Research Lab. (United States)

Published in SPIE Proceedings Vol. 9851:
Next-Generation Analyst IV
Barbara D. Broome; Timothy P. Hanratty; David L. Hall; James Llinas, Editor(s)

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