Project

Improving Wellbeing for Office Workers

Groups

Excessive stress can decrease office workers' productivity and negatively impact overall health. This project aims to predict office workers' stress levels using physiological and behavioral markers based on heart rate, skin conductance, skin temperature, and acceleration. Building on knowledge and models developed for student populations in the SNAPSHOT study and collecting new data from worker populations, we plan to improve stress-level prediction performance for office workers. Furthermore, we will also study how to improve productivity by decreasing stress. In order to accomplish this, we will look for causal factors that increase stress and possible interventions that can be deployed to office workers to decrease these factors.

Excessive stress can decrease office workers' productivity and negatively impact overall health. This project aims to predict office workers' stress levels using physiological and behavioral markers based on heart rate, skin conductance, skin temperature, and acceleration. Building on knowledge and models developed for student populations in the SNAPSHOT study and collecting new data from worker populations, we plan to improve stress-level prediction performance for office workers. Furthermore, we will also study how to improve productivity by decreasing stress. In order to accomplish this, we will look for causal factors that increase stress and possible interventions that can be deployed to office workers to decrease these factors.

Research Topics
#affective computing
Past Member
Person People
Terumi Umematsu
Visiting Scientist, NEC
Person People
Akane Sano
Research Affiliate
Person People
Sara Taylor
Research Assistant
Person People
Rosalind W. Picard
Professor of Media Arts and Sciences