(Georgia Institute of Technology, 2022-10-20)
Arriaga, Rosa I.
Computing holds the promise of alleviating negative impacts of mental illness and chronic disorders by scaling human effort and best medical practices over time and space. One in five adults is experiencing mental illness and four in ten adults in the US have two or more chronic diseases. The urgent need to manage these conditions calls for robust, and reliable technology that is useful and usable by patients and their caregivers. It calls for accountability at the intersection of science and design. In this talk, I will demonstrate how human-centered computing can leverage the generalizability of theoretical frameworks to design and build computational systems for Post-Traumatic Stress Disorder (PTSD) and Diabetes. I will discuss unique challenges in each clinical domain and will present theory-driven technology interventions that address them. I will also explore how these interventions can lead to improved health and wellness in diverse populations.
(Georgia Institute of Technology, 2020-03)
Park, Jung Wook; Evans, Hayley I.; Watson, Hue L.; Abowd, Gregory D.; Arriaga, Rosa I.
Two studies in ubiquitous computing examined the proximity of users to their smartphones in 2006 and in 2011. Both studies have used a passive data collection tool and the day reconstruction method. Additionally, Dey at al. adopted an online survey to validate their findings with a larger population sample. In 2019, we attempted to revisit this research topic due to the high adoption rate of smartphone and smart- watch. In our replication study, we developed a new passive data collection tool and a novel survey technique, proximity-based ecological momentary assessments. We also adopted the day reconstruction method and online survey utilized in the previous studies. This technical report presents the details of the research tools and techniques used in our study. This technical report is a supplementary material to the published article, "Growing Apart: How SmartDevices Impact the Proximity of Users to Their Smartphones", in IEEE Pervasive Computing.