The Effect of Varying Levels of Automation during Initial Triage of Intrusion Detection

Date

2022

Journal Title

Journal ISSN

Volume Title

Publisher

AHFE International

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

Keywords

intrusion detection, LOA, experimental psychology

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).