Using wearable technology to detect conflict in couples before it occurs

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Several teams of researchers at USC have joined armies for a study aimed at seeing vital signs to help stem conflicts in couples before they arise. Couples were brought into the lab, equipped with wearable sensors, made smartphones for recording data and sent out on their way.

The examine largely took place outside of the lab, with participants filling out an hourly survey to give insight into their seems toward their significant others. The team opted not to go out of its way to introduce arguings through external signifies or touch subject matter, and while not every participant reported an issue during the course of its trial, plenty of issues arise. Because, you know, couples and stuff.

The fact that we are capturing bio-signals from wearables this is a source of information we can get from people that we cannot appreciate with the naked eye, examine co-author Theodora Chaspari tells TechCrunch. It was a fairly useful source of information.

The wearables, which captured body temperature, heart activity and sweat, were coupled with assessments of audio recordings, allows one to detect the contents and intensity of speech. A machine learning developed by the team was apparently be permitted to capture episodes of conflict with an accuracy rate of up to 86 -percent.

We have a longstanding the cooperation between the family learns project in psychology and the SAIL project in engineering, tells lead author Adela C. Timmons. We were working together a lot to try to process and analyze the large amount of data “that were” compiling, and we had this idea of applying machine learning engineering to our data set to see if we could see if conflict was arising between couples and degrees greater than chance.

The next step in the process is use that machine learning algorithm to help create a modeling that could help predict conflicts up to five minutes before they arise, use physiological and speech reading. Given the relative level of sophistication in mainstream wearables, the software given the opportunity to be applied to commercial devices to help trackers move beyond fitness to emotional health.

Its definitely a harder task to do, tells Chaspari. Its something that builds up, physiologically or behaviorally that can lead to a potential conflict.

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