Mental Model Mapping Method for Cybersecurity

dc.contributor.authorKullman, Kaur
dc.contributor.authorBuchanan, Laurin
dc.contributor.authorKomlodi, Anita
dc.contributor.authorEngel, Don
dc.descriptionInternational Conference on Human-Computer Interaction, HCII 2020: HCI for Cybersecurity, Privacy and Trust pp 458-470en_US
dc.description.abstractVisualizations 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.en_US
dc.description.sponsorshipFor all the hints, ideas and mentoring, authors thank Jennifer A. Cowley, Alexander Kott, Lee C. Trossbach, Jaan Priisalu, Olaf Manuel Maennel. This research was partly supported by the Army Research Laboratory under Cooperative Agreement Number W911NF-17-2-0083. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied, of the Army Research Laboratory or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.en_US
dc.format.extent13 pagesen_US
dc.genreconference papers and proceedingsen_US
dc.genrebook chapters
dc.identifier.citationKullman 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.
dc.publisherSpringer Natureen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Information Systems Department
dc.relation.ispartofUMBC Office for the Vice President of Research
dc.relation.ispartofUMBC Imaging Research Center (IRC)
dc.relation.ispartofUMBC Physics Department
dc.relation.ispartofUMBC Office for the Vice President of Research & Creative Achievement (ORCA)
dc.relation.ispartofUMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)
dc.rightsThis 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.
dc.rightsAccess to this item will begin on 07/10/2021
dc.titleMental Model Mapping Method for Cybersecurityen_US


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