Publication Date

2015

Document Type

Thesis

Committee Members

Jennie Gallimore (Advisor), Subhashini Ganapathy (Committee Member), Alissa Golden (Committee Member)

Degree Name

Master of Science in Industrial and Human Factors Engineering (MSIHE)

Abstract

Introduction: This thesis research examined a novel decision support aid ("Spatial Cue + Virtual Agent") on human performance in a simulated complex visual search task. Method: Participants in the "Control" condition did not receive support from an aid. Participants in the "Spatial Cue" condition received support from an aid in the form of a bounding box. Participants in the "Spatial Cue + Virtual Agent" condition received support from an aid in the form of a bounding box and a virtual agent. The aids' reliability was held constant at one level, 70 percent. Image difficulty was based on clutter; clutter was manipulated by varying image white space. Results: The "Spatial Cue + Virtual Agent" improved participants' Probability of Detection, sensitivity, trust, and confidence. Discussion: This study indicates that there is a potential to mitigate declines in automation trust by simply increasing aids' humanness.

Page Count

73

Department or Program

Department of Biomedical, Industrial & Human Factors Engineering

Year Degree Awarded

2015

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