Kullman, KaurBuchanan, LaurinKomlodi, AnitaEngel, Don2021-04-292021-04-292020-07-10Kullman K., Buchanan L., Komlodi A., Engel D. (2020) Mental Model Mapping Method for Cybersecurity. In: Moallem A. (eds) HCI for Cybersecurity, Privacy and Trust. HCII 2020. Lecture Notes in Computer Science, vol 12210. Springer, Cham. https://doi.org/10.1007/978-3-030-50309-3_30https://doi.org/10.1007/978-3-030-50309-3_30http://hdl.handle.net/11603/21406International Conference on Human-Computer Interaction, HCII 2020: HCI for Cybersecurity, Privacy and Trust pp 458-470Visualizations can enhance the efficiency of Cyber Defense Analysts, Cyber Defense Incident Responders and Network Operations Specialists (Subject Matter Experts, SME) by providing contextual information for various cybersecurity-related datasets and data sources. We propose that customized, stereoscopic 3D visualizations, aligned with SMEs internalized representations of their data, may enhance their capability to understand the state of their systems in ways that flat displays with either text, 2D or 3D visualizations cannot afford. For these visualizations to be useful and efficient, we need to align these to SMEs internalized understanding of their data. In this paper we propose a method for interviewing SMEs to extract their implicit and explicit understanding of the data that they work with, to create useful, interactive, stereoscopically perceivable visualizations that would assist them with their tasks.13 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.Access to this item will begin on 07/10/2021Text