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Paper Type
ERF
Description
The COVID-19 pandemic has led to increased remote work in the cybersecurity industry, posing challenges to effective communication among cybersecurity analysts. A collaborative analysis support system called AOH-Map has been developed to address this problem by capturing and integrating the analysis processes of a group of analysts into a visual map. This study explores the media capability of AOH-Map in supporting communication among cybersecurity analysts in a virtual team setting. An experiment is designed to evaluate the effectiveness of AOH-Map as a communication tool for analysts working on a cybersecurity analysis task. The experiment will recruit forty participants who will be divided into control and experimental groups. Data on various factors will be collected and analyzed using t-test analysis to compare the groups. By exploring the benefits of the visual map, this study can offer recommendations for designing group problem-solving tools to support cybersecurity analysts working in virtual teams.
Paper Number
1200
Recommended Citation
Zhong, Chen, "Supporting Effective Communication in Remote Cybersecurity Analyst Team" (2023). AMCIS 2023 Proceedings. 3.
https://aisel.aisnet.org/amcis2023/fow/fow/3
Supporting Effective Communication in Remote Cybersecurity Analyst Team
The COVID-19 pandemic has led to increased remote work in the cybersecurity industry, posing challenges to effective communication among cybersecurity analysts. A collaborative analysis support system called AOH-Map has been developed to address this problem by capturing and integrating the analysis processes of a group of analysts into a visual map. This study explores the media capability of AOH-Map in supporting communication among cybersecurity analysts in a virtual team setting. An experiment is designed to evaluate the effectiveness of AOH-Map as a communication tool for analysts working on a cybersecurity analysis task. The experiment will recruit forty participants who will be divided into control and experimental groups. Data on various factors will be collected and analyzed using t-test analysis to compare the groups. By exploring the benefits of the visual map, this study can offer recommendations for designing group problem-solving tools to support cybersecurity analysts working in virtual teams.
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