A Biometric Measurement Suite to Understand the Processes behind Human Learning and Performance in Complex Settings

Abstract

We propose to acquire a scalable Biometric Measurement Suite (BMS) to enhance the capabilities of the DoD-funded research in ASU~s CERTT (Cognitive Engineering Research on Team Tasks) Lab and provide new capabilities throughout the HSE (Human Systems Engineering) research labs. The proposed BMS software and hardware suite integrates several biosensors and synchronizes and visualizes eye tracking, facial expression analysis, electroencephalogram (EEG), Galvanic Skin Response (GSR), electromyography (EMG), electrocardiogram (ECG) and surveys into one platform. This platform enables researchers to collect psychophysiological data to measure individuals~ or teams~ biometric responses while engaged in complex tasks such as driving a car or operating an unmanned aerial system. This approach has been used with great success in the field of neuroergonomics (c.f., Parasuraman, 2011; Parasuraman & Rizzo, 2008). The BMS will synchronize multiple sensor data streams and facilitate data analysis to answer questions related to behavioral, cognitive and emotional processes underlying human learning and performance in complex settings. HSE labs provide environments to educate students and conduct research on human behavior and cognition in real world contexts (e.g., driving, medicine, cyber security). Central to this research is the capability to measure human performance objectively and rigorously in these complex settings. The majority of the measures used in the HSE Labs focus on outcome (accuracy, errors, response time). The proposed equipment will augment current measurement capabilities by providing data that can illuminate processes associated with certain outcomes, thereby guiding evidence-based intervention to improve human learning and performance.

Document Details

Document Type
DoD Grant Award
Publication Date
May 05, 2017
Source ID
N000141712354

Entities

People

  • Nancy J Cooke

Organizations

  • Arizona State University
  • Office of Naval Research
  • United States Navy

Tags

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Research Science/Academic Research
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • Autonomy
  • Autonomy - Human-Robot Interaction
  • Biotechnology
  • Cyber