The Wear-IT framework, developed here at the RTS Lab, combines the latest in research on well-being, psychopathology, and addiction with cutting-edge approaches to data collection to help measure and model a person’s well-being in real time. The ultimate goal of the project is simple:
Help people thrive.
Modern smartphones provide a wealth of tools for passive data collection to measure context (e.g., GPS) and behavior (e.g. screen time, app usage). Wearable technology adds novel ways to measure both behavior (e.g. actigraphy) and physiology (e.g. heart rate variability). Wear-IT unites these disparate data streams into smooth, easily interpretable data sets and visualizations.The Wear-IT framework combines passive ambulatory assessment via smartphone and wearables, complemented by friendly, low-burden surveys that can be answered on a participants’ own smartphone–no need to mail a custom smartphone or pay for extra cellular plans.
Our survey-delivery software makes it possible to collect self-report data from participants following modern paradigms like daily-diary collection, ecological momentary assessment, or experience sampling methodology, and seamlessly harmonizes data from supported wearables and passive smartphone sensors into a unified data view.
The scientific goal of the Wear-IT project is focused on creating theoretical models, statistical methods, and technological tools to make it possible to understand the complicated systems at work in human emotion and well-being. Specifically, we want to build models that allow us to understand and intervene into the processes of everyday life as they happen and at the speed they happen. That is, to do Science in Real Time.
The most interesting parts of these process are when they are under strain. That is, when people are faced with complex situations like interpersonal interactions, team projects, or educational contexts; when they are confronted with difficulties like stress, and addiction; and in cases where social responding is difficult or atypical, such as autism and PTSD.
The Wear-IT framework is a computational framework including smartphone applications, web tools, wearable physiological monitors, and a cloud-based back-end that allow us to collect and model processes at work in real time. Our innovative edge of the cloud computational model allows us to monitor, model, and respond to events in real time, enabling responsive assessment and customized intervention in the real world.
The modular design of the Wear-IT architecture makes it easy to rapidly develop and deploy new measurement and analysis elements as new sensors, measurement approaches, and analytical tools become available.
Latest Wear-IT News
- New Article: Individualized Modeling to Distinguish Between High and Low Arousal States Using Physiological Data January 25, 2020As Wear-IT begins to take shape in more detail, we've been looking at new ways to understand and model physiological data on an individual level. Recent work with Ame Osotsi, Zita Oravecz, and Joshua Smyth examines individual differences in physiological response in a paper called Individualized Modeling to Distinguish Between High and Low Arousal States…
- Society for Ambulatory Assessment (SAA2019) June 25, 2019Dr. Brick presented at the Society for Ambulatory Assessment's 2019 meeting in Syracuse, New York. The SAA is dedicated to examining the applications and uses of tools like Wear-IT to clinical and research settings. As always, a phenomenal set of scientists were there. Penn State's College of Health and Human Development was there in force,…
- CCSA Conference 2019 May 29, 2019Penn State's Consortium to Combat Substance Abuse (CCSA) had its first annual conference today. Members of the RTS lab presented a poster there focused on trying to define and understand the process of recovery at a basic level. One primary focus of the poster was aimed at understanding something called recovery capital. The idea is…