Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study.
Runze YanXinwen LiuJanine M DutcherMichael J TumminiaDaniella K VillalbaSheldon CohenJohn D CreswellKasey G CreswellJennifer MankoffAnind K DeyAfsaneh DoryabPublished in: JMIR AI (2024)
Modeling biobehavioral rhythms has the potential to quantify and forecast productivity. The findings have implications for building novel cyber-human systems that align with human beings' biobehavioral rhythms to improve health, well-being, and work performance.