Research

This is a part of the IntegrateAI project with the LearnDialogue group. As artificial intelligence (AI) technologies become more embedded in society, we aim to include AI, specifically natural language processing (NLP) into middle school science education by empowering instructors to incorporate NLP experiences in their classrooms.

Publications

1. Srijita Chakraburty, Daria Smyslova, Cindy Hmelo-Silver, Krista Glazewski, Oluwatomisin Obajemu, Christine Wise, Toni Earle-Randell, Tom McKlin, Kristy Elizabeth Boyer. Engaging With Natural Language Processing: An Exploratory Study Across Multiple Middle School Grades (2025). In Proceedings of the 19th International Conference of the Learning Sciences – ICLS 2025 (pp. 1369-1373). International Society of the Learning Sciences. https://doi.org/10.22318/icls2025.108028

Historically, online safety features have been addressed from a parent-centric perspective, which many young people perceive as authoritarian and damaging to the parent-child relationship. This approach also fails to equip youth with the skills needed to navigate online risks independently as they mature. To address this issue, we conducted several user studies involving middle and high school students in the US. Together with these students, we co-designed online safety interventions while providing them with UX design skills through bootcamps. These co-designed interventions were also critically evaluated based on commonly reported risks identified by adolescents. See Dr. Pamela Wisniewski’s work with the STIR Lab for an extensive body of research in this area.

Publications

1. Oluwatomisin Obajemu, Zainab Agha, Farzana A. Chowdhury, and Pamela J. Wisniewski. 2024. Towards Enforcing Good Digital Citizenship: Identifying Opportunities for Adolescent Online Safety Nudges. Proc. ACM Hum.-Comput. Interact. 8, CSCW1, Article 136 (April 2024), 37 pages. https://doi.org/10.1145/3637413
2. Zainab Agha, Zinan Zhang, Oluwatomisin Obajemu, Luke Shirley, and Pamela J. Wisniewski. 2022. A Case Study on User Experience Bootcamps with Teens to Co-Design Real-Time Online Safety Interventions. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (CHI EA ’22). Association for Computing Machinery, New York, NY, USA, Article 40, 1–8. https://doi.org/10.1145/3491101.3503563

My natural interaction research specifically focuses on touch and gesture interactions. As a part of the UF TIDESS project, we directly compared the use of a physical spherical display with a virtual sphere (e.g., Google Earth) to demonstrate how virtual spheres may function as alternatives to physical spheres for geospatial visualization and navigation, particularly in settings with space and cost constraints. For more research in this area, see Dr. Nikita Soni’s work.

Additionally, ongoing work as part of the ENKIx project, led by the RUIZ HCI Lab at UF, focuses on developing gesture interactions for an augmented reality task guidance system in high-risk scenarios, especially where hand use is restricted.

My work has also explored how sharing sports metrics and data collected by wearables impacts motivation and preparation for major events among endurance athletes.

Publications

1. Mollie Brewer, Nadia S. J. Morrow, Xuening Peng, Oluwatomisin Obajemu, Kristy Elizabeth Boyer, Juan E. Gilbert. Investigating How Recreational Cyclists Engage with Sport Tracking Technologies to Prepare for Endurance Events (2025). In Annual Conference on Human-Computer Interaction and Sports (SportsHCI 2025) (Accepted, In Press)
2. Alexander Barquero, Niriksha Regmi, Oluwatomisin Obajemu, Rohith Venkatakrishnan, Christina Boucher, Lisa Anthony, Jaime Ruiz. How Hand Constraints Influence User-Defined Gestures in Mixed Reality (2025). In Graphics Interface (GI ’25) (Accepted, In Press)
3. Nikita Soni, Oluwatomisin Obajemu, Katarina Jurczyk, Chaitra Peddireddy, Maeson Vallee, Ailish Tierney, Niloufar Saririan, Cameron John Zuck, Kathryn A. Stofer, and Lisa Anthony. 2024. A Comparative Usability Study of Physical Multi-touch versus Virtual Desktop-Based Spherical Interfaces,” 2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR), Orlando, FL, USA, 2024, pp. 806-816, doi: 10.1109/VR58804.2024.00100.

As an attempt to improve the effectiveness of weight loss management applications through more consistent activity and nutrition logging, we compared the use of notifications triggered by time only with notifications triggered by context such as activity (sitting, walking, etc.) and sleep schedules. For prior and future work, see Yu-Peng Chen’s research.

Publications

1. Yu-Peng Chen, Julia Woodward, Dinank Bista, Xuanpu Zhang, Ishvina Singh, Oluwatomisin Obajemu, Meena N. Shankar, Kathryn M. Ross, Jaime Ruiz, and Lisa Anthony. 2024. Investigating Contextual Notifications to Drive Self-Monitoring in mHealth Apps for Weight Maintenance. In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI ’24). Association for Computing Machinery, New York, NY, USA, Article 993, 1–21. https://doi.org/10.1145/3613904.3641993