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Smartphone Chatting and Payment Habits Help AI Identify Daily Stress, Small Study Finds

The system identified 29 repeated behaviors and classified stressed days with 75.9% accuracy in short-term participants, researchers said.

Summary by TechXplore
Clues to stress can be hidden in everyday habits such as chatting, searching and making payments on a smartphone. KAIST researchers have developed a technology that analyzes several routine behaviors repeatedly performed within apps to identify a person's daily stress state.

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Domestic researchers have developed artificial intelligence (AI) technology that identifies daily stress levels by analyzing repetitive behaviors on smartphones, such as chatting, searching, and making payments. In an experiment analyzing the smartphone usage records of 26 individuals, the technology achieved an average identification accuracy of up to 75.9%. The research team led by Professor Eui-Jin Lee of the Department of AI Computing at KAI…

(Daejeon = Yonhap News) Reporter Kim Joon-ho = At the Korea Institute of Science and Technology (KAIST), Professor Lee Eui-jin's research team from the Department of AI Computing automatically finds repeated behavior on smartphones...

·Seoul, Korea (the Republic of)
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News Medical broke the news in Mona Vale, Australia on Thursday, October 15, 2026.
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