The Effect of Varying Levels of Automation during Initial Triage of Intrusion Detection
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Authors
Cassenti, Daniel
Roy, Aayushi
Hawkins, Thom
Thomson, Robert
Issue Date
2022
Type
Conference presentations, papers, posters
Language
Keywords
intrusion detection , LOA , experimental psychology
Alternative Title
Abstract
With unrestrained optimism regarding the possibilities of artificial intelligence (AI) exceeding its actualization, AI developers are under increasing pressure to integrate AI into complex human decision-making tasks without fully understanding the implications of this automation. To investigate how automation may influence human performance in a high workload environment, this study utilizes a triage scenario from intrusion detection using a simulated SNORT interface. Participants classify a series of time-sensitive alerts as real intrusions or false alarms with the assistance of varying levels of automation (LOA) from no automation to fully autonomous. Preliminary results showed that participants tend to prefer and have some performance benefits with intermediate levels of automation.
Description
Citation
Cassenti, Daniel, Aayushi Roy, Thom Hawkins, and Robert Thomson. "The Effect of Varying Levels of Automation during Initial Triage of Intrusion Detection." Artificial Intelligence and Social Computing, no. 28 (2022).
Publisher
AHFE International
License
Journal
Volume
Issue
PubMed ID
ISSN
2771-0718