AHFE Open AccessThe Effect of Varying Levels of Automation during Initial Triage of Intrusion Detection
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.
Keywords: Artificial Intelligence, Human-AI Collaboration, Cybersecurity, Levels of Automation
DOI: 10.54941/ahfe1001447
Cite this paper
More from this volume
- Won’t you see my neighbor? User predictions, mental models, and similarity-based explanations of AI classifiers
- Using Artificial Intelligence to Improve Human Performance: A Predictive Management Strategy
- Robust AI for Accident Diagnosis of Nuclear Power Plants Using Meta-Learning
- Detection of inappropriate images on smartphones based on computer vision techniques
- Econometric Modeling for the Management and Decomposition of Financial Risk
- Artificial vision system to detect the mood of an Alzheimer's patient
- Analysis of citizen's sentiment towards Philippine administration's intervention against COVID-19
- Generating a Multimodal Dataset Using a Feature Extraction Toolkit for Wearable and Machine Learning: A pilot study
- Hepatitis predictive analysis model through deep learning using neural networks based on patient history
- An analysis model for Machine Learning using Support Vector Machine for the prediction of Diabetic Retinopathy
- Supradyadic Trust in Artificial Intelligence
- Artificial Intelligence in aviation decision making process.The transition from extended Minimum Crew Operations to Single Pilot Operations (SiPO)