Robust Multimodal Cognitive Load Measurement II

Abstract

This report summarizes the important research activities, study results and research accomplishments out of the Robust Multimodal Cognitive Load Measurement II (RMCLM) project in the past one-year period. The objective of this project includes research of the fundamental issues related to the use of multiple input modalities and their fusion to enable robust and automatic cognitive load measurement (CLM) in the real world. Firstly, we examined the multimodal behavioral model to include mouse interactivity streams and a modified sliding window implementation for CLM. The contemplation-style and hesitation-style features are used in the study. The effects of cognitive load on trust are also investigated under two different conditions: low load and high load by analyzing behavioral signals such as mouse movement and physiological signals such as Galvanic skin response (GSR). Altogether, in the part one-year period, we had carried out CLM study with behavioral modalities such as mouse interactivity streams. The relations between cognitive load and trust were also analyzed with the use of mouse activities and GSR values.

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Document Details

Document Type
Technical Report
Publication Date
Jun 24, 2015
Accession Number
ADA627246

Entities

People

  • Fang Chen

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Attachment
  • Australia
  • Automatic
  • Behavioral Sciences
  • Computer Access Control
  • Environment
  • Galvanic Skin Response
  • Graphical User Interface
  • Human-Machine Systems
  • Indicators
  • Intervals
  • Investments
  • Learning
  • Load Monitoring
  • Measurement
  • User Interface

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.