no code implementations • 22 Dec 2020 • Poorna Talkad Sukumar, Thomas Breideband, Gonzalo Martinez, Megan Caruso, Sierra Rose, Cooper Steputis, Sidney D'Mello, Gloria Mark, Aaron Striegel
Frequent monitoring of participant compliance is necessary when conducting large-scale, longitudinal studies to ensure that the collected data is of sufficiently high quality.
Human-Computer Interaction
no code implementations • 10 Jun 2020 • Pablo Robles-Granda, Suwen Lin, Xian Wu, Sidney D'Mello, Gonzalo J. Martinez, Koustuv Saha, Kari Nies, Gloria Mark, Andrew T. Campbell, Munmun De Choudhury, Anind D. Dey, Julie Gregg, Ted Grover, Stephen M. Mattingly, Shayan Mirjafari, Edward Moskal, Aaron Striegel, Nitesh V. Chawla
In this paper, we create a benchmark for predictive analysis of individuals from a perspective that integrates: physical and physiological behavior, psychological states and traits, and job performance.
no code implementations • 6 Aug 2019 • Shikang Liu, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic
Precision medicine has received attention both in and outside the clinic.
no code implementations • 11 Jun 2019 • Shikang Liu, Fatemeh Vahedian, David Hachen, Omar Lizardo, Christian Poellabauer, Aaron Striegel, Tijana Milenkovic
To identify individuals who are vulnerable to depression and anxiety, predictive models have been built that typically utilize data from one source.