6 citations · 10 across the 3 of their papers we have counts for
9 papers
Designing an Interactive Visualization System for Monitoring Participant Compliance in a Large-Scale, Longitudinal Study
Poorna Talkad Sukumar, Thomas Breideband, Gonzalo Martinez +6
Frequent monitoring of participant compliance is necessary when conducting large-scale, longitudinal studies to ensure that the collected data is of sufficiently high quality. Whil…
Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being
Pablo Robles-Granda, Suwen Lin, Xian Wu +15
Assessment of job performance, personalized health and psychometric measures are domains where data-driven and ubiquitous computing exhibits the potential of a profound impact in t…
The power of dynamic social networks to predict individuals' mental health
Shikang Liu, David Hachen, Omar Lizardo +3
Precision medicine has received attention both in and outside the clinic. We focus on the latter, by exploiting the relationship between individuals' social interactions and their…
Heterogeneous network approach to predict individuals' mental health
Shikang Liu, Fatemeh Vahedian, David Hachen +4
Depression and anxiety are critical public health issues affecting millions of people around the world. To identify individuals who are vulnerable to depression and anxiety, predic…
Aggressive Economic Incentives and Physical Activity: The Role of Choice and Technology Decision Aids
Idris Adjerid, Rachael Purta, Aaron Striegel +1
Aggressive incentive schemes that allow individuals to impose economic punishment on themselves if they fail to meet health goals present a promising approach for encouraging healt…
Long-term Compliance Habits: What Early Data Tells Us
Louis Faust, Priscilla Jiménez, David Hachen +3
The rise in popularity of physical activity trackers provides extensive opportunities for research on personal health, however, barriers such as compliance attrition can lead to su…