Designing an Interactive Visualization System for Monitoring Participant Compliance in a Large-Scale, Longitudinal Study

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

Jointly Predicting Job Performance, Personality, Cognitive Ability, Affect, and Well-Being

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.

Tell Me About Yourself: Using an AI-Powered Chatbot to Conduct Conversational Surveys with Open-ended Questions

no code implementations • 25 May 2019 • Ziang Xiao, Michelle X. Zhou, Q. Vera Liao, Gloria Mark, Changyan Chi, Wenxi Chen, Huahai Yang

The rise of increasingly more powerful chatbots offers a new way to collect information through conversational surveys, where a chatbot asks open-ended questions, interprets a user's free-text responses, and probes answers whenever needed.

Chatbot Informativeness +1

Confiding in and Listening to Virtual Agents: The Effect of Personality

no code implementations • 2 Nov 2018 • Jingyi Li, Michelle X. Zhou, Huahai Yang, Gloria Mark

We investigate how the personality of a virtual interviewer influences a user's behavior from two perspectives: the user's willingness to confide in, and listen to, a virtual interviewer.