WHERE INSIGHT LEADS TO INNOVATION
Dr. Pamela Wisniewski participated in a CHI 2022 panel with Dr. Douglas Zytco, Dr. Shion Guha, Dr. Eric Baumer, and Dr. Min Kyung Lee to discuss how participatory design can be applied to AI systems. Participatory Design of AI Systems:
Congratulations to Ashwaq Alsoubai and her MOSafely Senior Design group for being nominated as Semi-Finalist out of 118 Senior Design projects. They created a social media risk detection dashboard that provides users risk assessments of their social media conversations.
Congratulations to Dr. Pamela Wisniewski, Ashwaq Alsoubai, Dr. Afsaneh Razi, and Xavier Caddle who presented at the CRASSH Webinar: Children and Artificial Intelligence: risks, opportunities and the future at the University of Cambridge. The title of the presentation was “Youth
Congratulations to the STIR Lab undergrad student Ritesh Chandrasekaran for successfully defending his Honors Undergraduate Thesis in Biomedical Sciences. His thesis title is “Differential Workload Levels using Primary and Secondary Tasks in VR.”
Three STIR Lab students of DIVE program (Discover, Immerse, Visualize, and Excel in STEM program), Carl Antoine, Taylor Moraguez, and Sebastian Perez, presented their research work at the CECS ODI (Office of Diversity & Inclusion) Scholar’s Showcase. Taylor Moraguez’s poster title was “How
Congratulations to Dr. Pamela Wisniewski! Her co-authored journal article titled “The Advantages of Virtual Dogs Over Virtual People: Using Augmented Reality to Provide Social Support in Stressful Situations” got published in the International Journal of Human-Computer Studies (IJHCS)! In this article, she
Congratulations to STIR Lab undergrad Zachary Miller who got awarded the 2022 Summer Undergraduate Research Fellowship.
Congratulations to our STIR Lab student Taylor Moraguez for successfully defending her Honors Undergraduate Thesis!
Congratulations to the STIR Lab MS student Joshua Gracie for successfully defending his Master’s Thesis in Computer Science. His thesis title is “Leveraging Human Centered Insight and Vision Transformers To Understand and Detect Online Risks in Teens’ Private Social Media