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ORCIDJonathan Z. Bakdash
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Journal Articles
- 2022
[j6]Hung-Jui Guo
, Jonathan Z. Bakdash, Laura R. Marusich, Balakrishnan Prabhakaran:
Augmented Reality and Mixed Reality Measurement Under Different Environments: A Survey on Head-Mounted Devices. IEEE Trans. Instrum. Meas. 71: 1-15 (2022)- 2019
- [j5]Donghao Ren, Laura R. Marusich, John O'Donovan, Jonathan Z. Bakdash, James Austin Schaffer, Daniel N. Cassenti, Sue E. Kase, Heather E. Roy, Wan-Yi Sabrina Lin, Tobias Höllerer:
Understanding node-link and matrix visualizations of networks: A large-scale online experiment. Netw. Sci. 7(2): 242-264 (2019) - 2018
- [j4]Jonathan Z. Bakdash, Steve E. Hutchinson, Erin G. Zaroukian, Laura R. Marusich, Saravanan Thirumuruganathan, Charmaine Sample, Blaine Hoffman, Gautam Das:
Malware in the future? Forecasting of analyst detection of cyber events. J. Cybersecur. 4(1): tyy007 (2018) - 2017
- [j3]Alun D. Preece, William M. Webberley, Dave Braines, Erin G. Zaroukian, Jonathan Z. Bakdash:
Sherlock: Experimental Evaluation of a Conversational Agent for Mobile Information Tasks. IEEE Trans. Hum. Mach. Syst. 47(6): 1017-1028 (2017) - 2016
- [j2]Laura R. Marusich, Jonathan Z. Bakdash, Emrah Onal, Michael S. Yu, James Schaffer, John O'Donovan, Tobias Höllerer, Norbou Buchler, Cleotilde Gonzalez:
Effects of Information Availability on Command-and-Control Decision Making: Performance, Trust, and Situation Awareness. Hum. Factors 58(2): 301-321 (2016) - 2010
- [j1]Nicholas A. Giudice, Jonathan Z. Bakdash, Gordon E. Legge, Rudrava Roy:
Spatial learning and navigation using a virtual verbal display. ACM Trans. Appl. Percept. 7(1): 3:1-3:22 (2010)
Conference and Workshop Papers
- 2024
- [c17]Laura Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu:
Using AI Uncertainty Quantification to Improve Human Decision-Making. ICML 2024 - 2023
- [c16]Hung-Jui Guo, Jonathan Z. Bakdash, Laura R. Marusich, Omeed Ashtiani, Balakrishnan Prabhakaran:
User Evaluation of Dynamic X-Ray Vision in Mixed Reality. VR Workshops 2023: 851-852 - 2022
- [c15]Hung-Jui Guo, Jonathan Z. Bakdash, Laura Marusich, Balakrishnan Prabhakaran:
Dynamic X-Ray Vision in Mixed Reality. VRST 2022: 52:1-52:2 - 2021
- [c14]Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu:
Does Explainable Artificial Intelligence Improve Human Decision-Making? AAAI 2021: 6618-6626 - 2020
- [c13]Vibha Belavadi, Yan Zhou, Jonathan Z. Bakdash, Murat Kantarcioglu, Daniel C. Krawczyk, Linda Nguyen, Jelena Rakic, Bhavani Thuraisingham:
MultiModal Deception Detection: Accuracy, Applicability and Generalizability. TPS-ISA 2020: 99-106 - 2018
- [c12]Erin G. Zaroukian, Jonathan Z. Bakdash:
Human understanding of information represented in natural versus artificial language (Poster). CogSIMA 2018: 135-141 - [c11]Federico Cerutti, Moustafa Alzantot, Tianwei Xing, Daniel Harborne, Jonathan Z. Bakdash, Dave Braines, Supriyo Chakraborty, Lance M. Kaplan, Angelika Kimmig, Alun D. Preece, Ramya Raghavendra, Murat Sensoy, Mani B. Srivastava:
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. FUSION 2018: 1-8 - [c10]Jonathan Z. Bakdash, Char Sample, Monica Rankin, Murat Kantarcioglu, Jennifer S. Holmes, Sue Kase, Erin G. Zaroukian, Boleslaw K. Szymanski:
The Future of Deception: Machine-Generated and Manipulated Images, Video, and Audio? SocialSens@IoTDI 2018: 2 - [c9]Cuneyt Gurcan Akcora, Jonathan Z. Bakdash, Yulia R. Gel, Murat Kantarcioglu, Laura R. Marusich, Bhavani Thuraisingham:
Attacklets: Modeling High Dimensionality in Real World Cyberattacks. ISI 2018: 55-57 - [c8]Bhavani Thuraisingham, Murat Kantarcioglu, Elisa Bertino, Jonathan Z. Bakdash, Maribel Fernández:
Towards a Privacy-Aware Qunatified Self Data Management Framework. SACMAT 2018: 173-184 - 2017
- [c7]Char Sample, Jennifer Cowley, Steve E. Hutchinson, Jonathan Z. Bakdash:
Culture + Cyber: Exploring the Relationship. AHFE (9) 2017: 185-196 - [c6]Erin G. Zaroukian, Jonathan Z. Bakdash, Alun D. Preece, Will Webberley:
Automation bias with a conversational interface: User confirmation of misparsed information. CogSIMA 2017: 1-3 - [c5]Dave Braines, Anna Thomas, Lance M. Kaplan, Murat Sensoy, Jonathan Z. Bakdash, Magdalena Ivanovska, Alun D. Preece, Federico Cerutti:
Subjective Bayesian Networks and Human-in-the-Loop Situational Understanding. GKR 2017: 29-53 - 2013
- [c4]Frank Drews, Brittany Mallin, Jonathan Z. Bakdash, Christine J. Korhonen, Aaron W. Angelovic:
Adherence Engineering to Improve Best Practices. AMIA 2013 - [c3]Jonathan Z. Bakdash, Diego Pizzocaro, Alun D. Preece:
Human Factors in Intelligence, Surveillance, and Reconnaissance: Gaps for Soldiers and Technology Recommendations. MILCOM 2013: 1900-1905 - 2008
- [c2]Jiajun Zhu, Jonathan Z. Bakdash, David Koller, Thomas Banton, Dennis Proffitt, Greg Humphreys:
Quantifying usability in secure graphics: assessing the user costs of protecting 3D content. APGV 2008: 91-96 - 2006
- [c1]Jonathan Z. Bakdash, Jason S. Augustyn, Dennis Proffitt:
Large displays enhance spatial knowledge of a virtual environment. APGV 2006: 59-62
Informal and Other Publications
- 2023
- [i8]Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu:
Using AI Uncertainty Quantification to Improve Human Decision-Making. CoRR abs/2309.10852 (2023) - 2022
- [i7]Hung-Jui Guo, Jonathan Z. Bakdash, Laura R. Marusich, Balakrishnan Prabhakaran:
Dynamic X-Ray Vision in Mixed Reality. CoRR abs/2209.07025 (2022) - [i6]Hung-Jui Guo, Jonathan Z. Bakdash, Laura R. Marusich, Balakrishnan Prabhakaran:
Augmented Reality and Mixed Reality Measurement Under Different Environments: A Survey on Head-Mounted Devices. CoRR abs/2210.16463 (2022) - 2021
- [i5]Laura R. Marusich, Jonathan Z. Bakdash:
rmcorrShiny: A web and standalone application for repeated measures correlation. F1000Research 10: 697 (2021) - 2020
- [i4]Yasmeen Alufaisan, Laura R. Marusich, Jonathan Z. Bakdash, Yan Zhou, Murat Kantarcioglu:
Does Explainable Artificial Intelligence Improve Human Decision-Making? CoRR abs/2006.11194 (2020) - 2017
- [i3]Xin Lin, Alaa Moussawi, György Korniss, Jonathan Z. Bakdash, Boleslaw K. Szymanski:
Limits of Risk Predictability in a Cascading Alternating Renewal Process Model. CoRR abs/1706.06734 (2017) - [i2]Jonathan Z. Bakdash, Steve E. Hutchinson, Erin G. Zaroukian, Laura R. Marusich, Saravanan Thirumuruganathan, Char Sample, Blaine Hoffman, Gautam Das:
Malware in the Future? Forecasting Analyst Detection of Cyber Events. CoRR abs/1707.03243 (2017) - 2014
- [i1]Alun D. Preece, Christopher Gwilliams, Christos Parizas, Diego Pizzocaro, Jonathan Z. Bakdash, Dave Braines:
Conversational Sensing. CoRR abs/1406.1907 (2014)
Coauthor Index
aka: Laura R. Marusich
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