Projects
| Begin Date | End Date | Title |
|---|---|---|
| 03-10-2022 | 12-31-2023 | USAF STTR Phase II: Project Aletheia: Detecting Adversarial Manipulation of Image Data |
| 06-02-2021 | 01-02-2022 | Project Aletheia: A Gamified Truth Disclosure Platform |
| 07-01-2018 | 06-30-2020 | Capture-the-Flag (CTF) Scenario-Based Cybersecurity Exercises\r\nDevelopment |
| 12-15-2014 | 12-31-2016 | iCorps: Market Impact Identification of Dyadic Attribution Model for Disposition Assessment Using Online Games |
| 03-01-2015 | 08-31-2016 | A Sociotechnical Approach To Lawful Interception And Computational Assessment Of Information Behavior To Protect Against Insider Threat |
| 09-01-2013 | 08-31-2015 | EAGER:Collab Research: Language-Action Causal Graphs for Trustworthiness Attribution in Computer-Mediated Communications |
Network
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Burmester, Michael V
Professor 9 Mo SAL Comp Sci Sponsored Projects |
Liu, Xiuwen
Professor 9 Mo SAL Comp Sci Sponsored Projects |
Research Terms
| Industries |
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| Logistics & Distribution > Specialized Logistics IT |
| Research Keywords |
|---|
| Computer-Mediated Deception |
| Covid-19 |
| Dyadic Attribution Model |
| Language-Action Cues |
| Online Game For Research |
| Sociotechnical Systems |
| Trusted Human Computer Interaction |
| Trustworthiness Attribution |
COVID-19 Research-Ready
| My Research Interests: | • Trusted human-computer interaction • Predictive analytics • Social media dis-/misinformation • Cyberbullying, political polarization | |
| My Research Background: | My research interests are in trusted human-computer interactions, specifically addressing issues of computer-mediated deception, cyber insider threats, dis-/misinformation, and cyberbullying. Recent projects include the study of predictive analytics for identifying online deception and cyberbullying in social forums, as well as polarization in political forums. My iSensor Lab analyzes and extracts language-action cues, such as in charged language for identifying hate speech. My research discovers and identify subtle but noticeable computational differences in communicative intent that can be observed, triangulated and codified. I can collaborate on detecting COVID-19 social media dis-/misinformation campaign and societal impacts. I build research experimentations to explore and collect conversational artifacts from social simulations. I’m also interested in building an AI-based system that can assist the Centers for Disease Control and Prevention in devising containment strategies based on live data | |
| How I Can Help Collaborators: | • Scenario-based experimentation • User-centered interactive system design • Behavioral modeling & prediction • Modeling of language-action cues with analytics, social factors/ computing • Detecting social media dis/misinformation campaign and societal impacts | |
| How Collaborators Can Help Me: | • Bring your biggest problems for analysis • Access to big datasets (e.g., COVID-19, healthcare, social data, utilities, etc.) • Machine learning, artificial intelligence • Statistical analysis and modeling • Coding and programming | |
| Additional Information: | I founded the iSensor Lab in 2010 to conduct sociotechnical research related to human factors in cyberspace. Experiments are conducted in live and virtual environments using online games. Research data is collected through confined resources and interactions that are based on real-world cyber trust and deception simulations. We generate data based on real world scenarios that are created for specific purposes. This is done through the deployment of online games that contain identical variables as in real-world situations. Statistical modeling and machine learning are used to parse out the cues of conversations and make sense of the data collected. | |
Videos
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Faculty of the Future Duration: (2:55) Year: 2019 Keyword: Research |
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CV19 SelfDefense Mobile App Concept Demo Duration: (6:10) Year: 2020 Keyword: COVID-19, digital response, The iSensor Lab is pleased to announce its digital response to COVID-19 pandemic; CV19 SelfDefense android mobile app. The CV19 SelfDefense mobile app is a research artifact funded by Florida State University Collaborative Collision Seed Grant (CC-045704, 5/11/20 – 8/18/20). Interested users may download this version on an android phone, register an account with the iSensor server, and login to their personal account with a dashboard of features and tools to begin utilizing the services provided that help users to defend themselves during the Coronavirus pandemic. For more information, please visit iSensor Lab at https://isensoranalytics.com
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Research on Computer-Mediated Deception Duration: (1:21) Year: 2018 Keyword: computer-mediated deception, online deception, language-action cues, cybersecurity, information behavior The chance of a human spotting lies is 52.4%, approximately equivalent to random. However, a machine-learning approach can spot lies and classify online deception with nearly 85-100% accuracy.
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Research on Cyber Insider Threat Duration: (1:22) Year: 2018 Keyword: cyber insider threat, cybersecurity, language-action cues, computer-mediated deception The sociotechnical systems approach models multi-level interactions, extracts language-action cues, constructs dyadic attribution on trustworthiness, and identifies computer-mediated deception with accuracy.
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iSensor Tech Talk for NSF ICorps Duration: (00.03.06) Year: 2015 Keyword: iSnesor Analytics |
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iSensor Analytics ICorps Lessons Learned Duration: (00:01:00) Year: 2015 Keyword: iSensor Analytics NSF I-CORPS NYCRIN Feb-March 2015
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Research in a minute Duration: (00:01:00) Year: 2014 Keyword: insider threat, computer-mediated deception Florida State University researcher Shuyuan Mary Ho discusses her research regarding the issues of cyber insider threats and online identity theft.
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Contact
| Name: | Shuyuan Mary Ho | ||
| Title: | Asoc Professor | ||
| University: | Florida State University | ||
| College/School: | College Of Communication And Information | ||
| Home Department: | School Of Information | ||
| Address: |
142 COLLEGIATE LOOP TALLAHASSEE, FL |
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| Email: | smho@fsu.edu | ||
| Phone: | 850/645-0406 | ||
| ORCID: |
 https://orcid.org/0000-0002-4790-1821
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