New app monitors user sentiment

Release date: 2014-05-21

A new app can understand the user's feelings.

Researchers have revealed that the sentiment analysis app can continuously monitor a person's speech and find signs of their anger or nervousness.

Researchers hope the technology can help people with irritability or extreme personality disorders to alert users, family members and medical staff if they find signs.

The University of Michigan team said early results showed the app was able to detect emotions.

Researchers hope that the application will ultimately enable early warnings of emotional changes in people with extreme personality disorders and their medical teams.

This technology can also help patients with other diseases.

Research leader Zahi Karam said: "The results of these cohort studies give us favorable evidence to detect the emotional state by regularly analyzing people's words. The more data we collect, the better the model we build, and our ultimate goal is to be able to Discover as early as possible and then intervene as early as possible to change your mood."

The app is called Priori, because researchers hope it can serve as a biomarker for extreme personality disorder diseases, so that those who need to control their own emotions can stabilize their moods, especially in areas that lack mental health services.

Extreme personality disorder affects tens of millions of people around the world, and even has a serious impact on people, even suicide.

The technology and algorithm are developed using 60 American patients who will receive treatment from the team during the experimental phase.

More patients are ready to start using the smartphones provided by the team with the app. As the number of volunteers increases, the team can further improve the technology.

The app runs as a mobile phone basic program in the background and automatically monitors the patient's sound mode. The computer program analyzes many of the sound characteristics of each conversation. It allows all calls to be recorded to find emotional changes as much as possible. Eventually it will be fed back to patients, family members and medical team users.

The patient's call history is encrypted to protect the patient's privacy. Team researchers can only see the results of the computer analysis.

A weekly standardized emotional assessment report by a training physician provides a reference to the patient's mood and is used to correlate with the sound characteristics of their emotional state.

The researchers also said that because other mental health diseases can also cause people's voice changes, the technical framework developed based on extreme personality disorder diseases can also be used to analyze schizophrenia, post-traumatic stress syndrome and Parkinson's disease.

Source: Kexun Medical Network

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