To help understand these patterns and improve
productivity, Cornell researchers have developed a tool that tracks alertness by measuring pupil size, captured through a burst of photographs taken every time users unlock their smartphones.
"Since our alertness fluctuates, if we can find a pattern it will be very useful to manage and schedule our day," said Vincent W.S. Tseng, a doctoral student in information science and lead author of "AlertnessScanner: What Do Your Pupils Tell About Your Alertness," presented in September at the 20th International Conference on Human-Computer Interaction with Mobile Devices and Services.
Traditional methods of analyzing alertness tend to be cumbersome, often including devices that must be worn. Researchers in Cornell's People-Aware Computing Lab, run by Tanzeem Choudhury, associate professor of information science and senior author on the study, wanted to create a way to measure alertness unobtrusively and continuously.
Read more at: https://phys.org/news/2018-10-smartphone-cameras-track.html#jCp


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