Cognitive context detection using pupillary measurements
Document Type
Conference Proceeding
Publication Date
1-1-2016
Publication Title
Proceedings of SPIE - The International Society for Optical Engineering
Volume
9851
Keywords
cognitive workload, human computer interaction, pupillography, pupillometry, supervisory control, unmanned aerial systems
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.
DOI
10.1117/12.2224176
ISSN
0277786X
E-ISSN
1996756X
ISBN
9781510600928
Recommended Citation
Mannaru, Pujitha; Balasingam, Balakumar; Pattipati, Krishna; Sibley, Ciara; and Coyne, Joseph. (2016). Cognitive context detection using pupillary measurements. Proceedings of SPIE - The International Society for Optical Engineering, 9851.
https://scholar.uwindsor.ca/computersciencepub/137