The StudentLife app, which compares students' happiness, stress, depression and loneliness to their academic performance, also may be used in the general population - for example, to monitor mental health, trigger intervention and improve productivity in workplace employees.
"The StudentLife app is able to continuously make mental health assessment 24/7, opening the way for a new form of assessment," said Dartmouth College computer science Professor Andrew Campbell, the study's senior author.
"This is a very important and exciting breakthrough," said Campbell.
They used computational method and machine learning algorithms on the phone to assess sensor data and make higher level inferences.
The app that ran on students' phones automatically measured the following behaviours 24/7 without any user interaction: sleep duration, the number and duration of conversations per day, physical activity, where they were located and how long they stayed there, stress level, how good they felt about themselves, eating habits and more.
The results show that passive and automatic sensor data from the Android phones significantly correlated with the students' mental health and their academic performance over the term.
The results open the door to your phone automatically knowing if you are depressed, stressed or lonely. It can also help predict student GPA, researchers said.
Coupled with intervention software, students can track their mental health and academic performance indicators with the goal of improving both.
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