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Assessment of Human Vulnerability in a Touch-Screen Game; Metrics and Analysis

[+] Author Affiliations
Payam Parsinejad, Rifat Sipahi

Northeastern University, Boston, MA

Paper No. DSCC2015-9961, pp. V001T09A004; 10 pages
doi:10.1115/DSCC2015-9961
From:
  • ASME 2015 Dynamic Systems and Control Conference
  • Volume 1: Adaptive and Intelligent Systems Control; Advances in Control Design Methods; Advances in Non-Linear and Optimal Control; Advances in Robotics; Advances in Wind Energy Systems; Aerospace Applications; Aerospace Power Optimization; Assistive Robotics; Automotive 2: Hybrid Electric Vehicles; Automotive 3: Internal Combustion Engines; Automotive Engine Control; Battery Management; Bio Engineering Applications; Biomed and Neural Systems; Connected Vehicles; Control of Robotic Systems
  • Columbus, Ohio, USA, October 28–30, 2015
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5724-3
  • Copyright © 2015 by ASME

abstract

Assistive machine design based on human physiological measurements offers variety of opportunities in both civilian and military applications. In such settings the machine would need to compute certain metrics associated with these measurements to decide how to assist the humans. In this paper, we study a set of metrics pertaining to human behavioral patterns in easy and difficult tasks taken on a touch screen computer game. Analysis of these metrics reveal that some of them can be utilized as indicators of task difficulty showing promise for their use by machines. The metric results are also compared with task performance metrics, as well as a reliable and established metric called pNN50 calculated from subjects’ heart rate measurements and serving as the baseline.

Copyright © 2015 by ASME

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