Smart phone technology capable of sensing current mood of users

According to foreign media reports, Microsoft is currently working on a smartphone technology that can detect the user's current mood and automatically share this status with friends on social networking sites such as Facebook.

According to a Microsoft Asia research report recently learned by Australian tech media Australia Techworld Australia, the company is currently testing a "smartphone mood sensor". It is reported that this technology called "MoodScope" can help smartphones detect the user's mood at that time and automatically upload the user's mood state to social networks such as Facebook. Although some sensors were used to monitor the light at that time and the user's moving speed, MoodScope mainly monitored the user's psychological state at that time, and the user's mood was carried out with tension, disappointment, happiness, boredom, calmness, stress and excitement. classification.

Microsoft Asia Research Center wrote in a report: "Aside from privacy issues, let's say that mobile phone automatic uploading of users' mood status will further strengthen the influence of social networks. At the same time, other users can also be more suitable Time to communicate with others in a more appropriate way. "

Smart phone technology capable of sensing current mood of users

Microsoft says that such a technology can help people learn about each other's mood in advance before communicating with others, and this technology will be particularly effective when subordinates communicate with their superiors.

"Mood sensors can help users communicate with the outside world as well as the real world. The automatic sharing of user moods not only improves the practicality of this technology, but also lowers the threshold for people to share their current moods on social networks. Because we usually do n’t directly tell others about our current mood, but after we have this technology, we do n’t need to deliberately hide this. ”The report wrote.

The report shows that Microsoft has successfully developed a prototype based on this technology, and the average accuracy of the prototype for user mood detection has reached 66%. After two months of debugging, the average accuracy of the device ’s mood detection for 32 participants rose to 95%. At the same time, Microsoft said that other services will also be expected to benefit from this technology.

"Video and music recommendation systems such as Netflix or SpoTIfy can also benefit from adding user mood data to their own system algorithms. After understanding the user ’s current mood and adding preference data based on the user ’s historical selection, These service providers will be able to recommend some media content that is more in line with current moods for users. "The report finally wrote.

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