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Diagnosing Social Anxiety From GPS Data

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In a time where we carry smartphones that provide a constant stream of information about our lives, it’s worth asking: what can you tell about someone’s mental health from their smartphone data?

Obviously, their search history might tell you something. But psychology and engineering researchers at University of Virginia turned to a different source: people’s GPS data.

In a study published this month, the researchers developed an algorithm for predicting whether or not people had social anxiety based on their GPS data. They tested the algorithm on data from 228 college students, comparing it to questionnaires measuring those students’ levels of social anxiety symptoms.

It turned out that the algorithm was pretty good at classifying students as either high or low in social anxiety by looking at their GPS information. In fact, it was accurate 85 percent of the time.

So what information did it use to predict students’ anxiety scores from the movements recorded by their GPS sensors?

For one thing, students with social anxiety tended to avoid public spaces and leisure activities after school and on weekends. They also spent more time at home, and their location was generally less variable.

The researchers used a neural network algorithm to make their predictions of social anxiety. While this is their most sophisticated use of GPS data so far, it’s not the first time they’ve experimented in using GPS to gather information on the movements of people with social anxiety. Last year, some of the same researchers led a study that used GPS data to show how people with social anxiety and people with more negative emotional states tend to spend more time at home.

Overall, these findings demonstrate how new technologies open up new possibilities in terms of diagnosing and understanding conditions like social anxiety. They’re also a reminder of just how much you can tell about someone when you have their smartphone data.

Image: Flickr/Aram Bartholl

Diagnosing Social Anxiety From GPS Data

2 thoughts on “Diagnosing Social Anxiety From GPS Data

  • July 12, 2018 at 7:46 am
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    Introverts also tend to stay at home.

    While the study has a tag for social anxiety disorder, the discussion isn’t focused on pathology, only on relative levels of social anxiety.

    This is one study with a fairly homogeneous population. One should not draw conclusions from this other than that this might be worth a larger study with a more diverse sample population.

    Reply
    • July 12, 2018 at 11:18 am
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      Thanks for commenting! I agree that it’s always a good idea to be mindful of reasons findings like these might not generalize.

      As far as the question of having “high levels of social anxiety” vs. having “social anxiety disorder,” the measure of social anxiety used in this study was the SIAS. The researchers used a score of 34 as the cutoff between groups, which is the threshold considered indicative of social phobia. So, it’s not a linear correlation between symptoms and mobility patterns but a difference between those participants who have clinically significant levels of social anxiety (according to the SIAS, anyway) and those who don’t.

      I’d be all for additional studies to see how these findings apply to people in other situations. I do also think the results are suggestive more generally that mobility data is an interesting new window into mental health conditions.

      Reply

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