Abstract
A great deal of interest concerns the study of vigilance performance, and trust in automation, due to their implications for public safety. This work provides an experimental resource for scholars in need of a vigilance style task. The dataset includes 150 X-ray images of luggage, and participants indicate whether or not they believe each image contains a dangerous item (simulating airport security screening). Using a sample of 991 adults recruited via MTurk, we normed these items in terms of difficulty. These stimuli can be used to study vigilance performance, trust in an automated decision aid, and other areas. Funding statement: This research was funded by a grant from the University of Missouri-St. Louis College of Arts & Sciences.
Highlights
A great deal of interest concerns the study of vigilance performance, and trust in automation, due to their implications for public safety
This work provides an experimental resource for scholars in need of a vigilance style task
Using a sample of 991 adults recruited via Mechanical Turk (MTurk), we normed these items in terms of difficulty
Summary
A great deal of interest concerns the study of vigilance performance, and trust in automation, due to their implications for public safety. This work provides an experimental resource for scholars in need of a vigilance style task. The dataset includes 150 X-ray images of luggage, and participants indicate whether or not they believe each image contains a dangerous item (simulating airport security screening). Using a sample of 991 adults recruited via MTurk, we normed these items in terms of difficulty. These stimuli can be used to study vigilance performance, trust in an automated decision aid, and other areas. Participants’ task is to indicate whether or not each image contains a weapon
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