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Mobile phone devices are now a crucial device in our lives. As we spend more time on these devices, there is potential harm induced for mobile device users. However, at the same time, recent machine learning algorithms have enabled ways to understand the mental state of the users’ through the various mobile phone activity data collected from the devices. Combined together with micro meditation methodologies, we introduce “Ting”: a combination of a stress level detector judging from mobile keyboard input and an interaction design intervention that offsets the stressful feeling of the user by asking the user to take 30-second micro-meditation.
Massachusetts, United States
George Washington University