Category: News

Recently, the INIT Lab learned that one of our collaborators, Dr. Danielle Jake-Schoffman, from UF’s College of Health and Human Performance (HHP) in the Department of Health Education & Behavior, has received an NIH-sponsored R21 grant called “FamilyFit: Promoting Family-Based Physical Activity and Weight Gain Prevention through Mobile Technology.” Dr. Jake-Schoffman directs the EXHale Lab, […]

In previous posts, we noted that the goal of the POSE project is to understand how children perform motions (i.e., their motion qualities) so we can improve automatic recognition of children’s motions. To accomplish this goal, we began by investigating the variations in how users move their body parts during the performance of a motion. […]

I am excited to share that the our poster “Romadoro: Leveraging Nudge Techniques to Encourage Break-Taking” was accepted to the 34th ACM Symposium on User Interface Software and Technology (UIST). In our poster, we present a Chrome plugin designed to encourage healthy break-taking through the implementation of technology-mediated nudges [1] coupled with the Pomodoro Technique […]

INIT Lab PhD student Aishat Aloba made us proud and defended her dissertation work “Tailoring Motion Recognition Systems to Children’s Motions” on June 18th! While we are emerging slowly from COVID-19 restrictions, the defense was held virtually for safety and convenience. Aishat’s committee members were myself (chair), Dr. Jaime Ruiz, Dr. Eakta Jain, and Dr. […]

Check out our recent blog post on the UF IFAS blogs website!

In 2020, the INIT Lab collaborated with the Ruiz HCI lab, in particular lead Ph.D. student author Julia Woodward, on a study to understand how well Fitts’ Law and FFitts’ Law applies to children’s touching behaviors on touchscreen devices. This study ended up being published in a paper entitled “Examining Fitts’ and FFitts’ Law Models […]

The INIT Lab and Ruiz HCI lab at UF have a new NSF grant, in collaboration with Dr. Tempestt Neal and Dr. Shaun Canavan at USF, to pursue a project to understand users’ mental models of continuous (passive) authentication in smart environments, as well as to evaluate a proof-of-concept system with current sensing technologies. Continuous […]