AI-Enabled Deception Detection for Mental Health
Dissertation Research
Dissertation Research
Up To Me, Mental Health Disclosure Intervention
Published in arXiv preprint arXiv:1906.11960, 2019
Use Google Scholar for full citation
Recommended citation: Khadija Zanna, Sayde King, Tempestt Neal, Shaun Canavan, "Studying the impact of mood on identifying smartphone users." In the proceedings of arXiv preprint arXiv:1906.11960, 2019.
Published in the Proceedings of 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020
Use Google Scholar for full citation
Recommended citation: Sayde King, Mohamed Ebraheem, Khadija Zanna, Tempestt Neal, "Learning a Privacy-Preserving Global Feature Set for Mood Classification Using Smartphone Activity and Sensor Data." In the proceedings of 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), 2020.
Published in JMIR Formative Research, 2022
Use Google Scholar for full citation
Recommended citation: Sayde King, Jana Lebert, Lacey Karpisek, Amelia Phillips, Tempestt Neal, Kristin Kosyluk, "Characterizing user experiences with an sms text messaging--based mhealth intervention: Mixed methods study." JMIR Formative Research, 2022.
Published in the Proceedings of International Conference on Human-Computer Interaction, 2022
Use Google Scholar for full citation
Recommended citation: Mohamed Ebraheem, Sayde King, Tempestt Neal, "Lip Movement as a WiFi-Enabled Behavioral Biometric: A Pilot Study." In the proceedings of International Conference on Human-Computer Interaction, 2022.
Published in Frontiers in Research Metrics and Analytics, 2023
Use Google Scholar for full citation
Recommended citation: Tempestt Neal, Alessandro Negro, Fabio Montagna, Michael Teng, Sylvia Thomas, Sayde King, "Analysis of the Evolution of COVID-19 Disease Understanding Through Temporal Knowledge Graphs." Frontiers in Research Metrics and Analytics, 2023.
Published in the Proceedings of 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), 2023
Use Google Scholar for full citation
Recommended citation: Nele Loecher, Sayde King, Joseph Cabo, Tempestt Neal, Kristin Kosyluk, "Assessing the Efficacy of a Self-Stigma Reduction Mental Health Program with Mobile Biometrics: Work-in-Progress." In the proceedings of 2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG), 2023.
Published in the Proceedings of International Conference on Human-Computer Interaction, 2023
Use Google Scholar for full citation
Recommended citation: Wilson Lozano, Sayde King, Tempestt Neal, "Observations of Caregivers of Persons with Dementia: A Qualitative Study to Assess the Feasibility of Behavior Recognition Using AI for Supporting At-Home Care." In the proceedings of International Conference on Human-Computer Interaction, 2023.
Published in Journal of Mental Health, 2023
Use Google Scholar for full citation
Recommended citation: Kristin Kosyluk, Jennifer Tran, Sayde King, Katie Torres, Tempestt Neal, "Preliminary effectiveness study of the Cope Notes digital mental Health program." Journal of Mental Health, 2023.
Published in the Proceedings of International Conference on Human-Computer Interaction, 2023
Use Google Scholar for full citation
Recommended citation: Sayde King, Najare Johnson, Kristin Kosyluk, Tempestt Neal, "Therapist Perceptions of Automated Deception Detection in Mental Health Applications." In the proceedings of International Conference on Human-Computer Interaction, 2023.
Published in Multimedia Tools and Applications, 2024
Use Google Scholar for full citation
Recommended citation: Sayde King, Samann Pinder, Daniel Fernandez-Lanvin, Cristian Gonzalez, Javier De, Miguel Labrador, "Noise Signature Identification Using Mobile Phones for Indoor Localization." Multimedia Tools and Applications, 2024.
Published in the Proceedings of 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024
Use Google Scholar for full citation
Recommended citation: Sayde King, Mohamed Ebraheem, Phuong Dang, Tempestt Neal, "Toward Emotion Recognition and Person Identification Using Lip Movement from Wireless Signals: A Preliminary Study." In the proceedings of 2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG), 2024.
Published:
This invited keynote at AMAR 2024 discussed the pervasive nature of affective computing applications. Showcasing the wide reach of affective computing, I covered application areas from gaming and natural language processing to ubiquitous sensing and deception detection for mental health applications. More information here
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.