IDG News Service — your phone is there, always watching. It's your
life companion, according to one manufacturer. So shouldn't it be able to tell
your mood, too? Microsoft thinks so.
In a research paper, Microsoft said that by
analyzing phone calls, texts, the browser history, and other common smartphone
interactions, a new MoodScope service it developed could accurately predict the
user's mood 93 percent of the time after a two-month period. This was after the
phone was "trained" to sense the user's mood.
So what good is it? After all, you don't need your phone to tell you how you feel. Instead, the idea is that your
phone's new "mood sensor" will tell others how you feel--social networks, your
friends, even your mom.
Furthermore, that information could be passed along to services
like Spotify, which could curate an emo-weighted playlist for when you're down
in the dumps. Microsoft even created a "MoodScope social-sharing
application" to share user’s moods to their Facebook Timelines.
Yes, this is for oversharers. Microsoft isn't proposing that all
phones should sense your mood, automatically, but that it would be based with
an app and tapped into via an API.
Somewhat ironically, researchers have never tested the technology
with a Windows Phone; they used a combination of Android phones and iPhones for
the study, using 32 participants from the United States and China.
"We foresee mood inference as a vital next step for
application context-awareness," wrote Robert LiKamWa, Yunxin Liu,A
Nicholas D. Lane,andA Lin Zhong, the co-authors of the study. All, except for
Rice University's Zhong, worked for Microsoft Research. "Such inference
would improve the utility of the smartphone and lower the social barrier for
sharing mood."
How does it work?
Specifically, the researchers used SMS, email, phone call,
application usage, web browsing, and location to determine mood, defined as a
persistent emotional state, rather than flashes of one emotion or another.
Microsoft naturally used both the phone and a cloud service to collaboratively
produce its MoodScope responses.
What the researchers found is that determining mood wasn't easy;
they first had to ask the users to record what their moods were every four
hours, and use that to determine a general mood model.
Over time, however, the general mood model cut down the training
time to about ten days, during which moods were sensed with 72 percent
accuracy.
The paper does not draw any specific conclusions about how
smartphone use is tied to mood, such as happy users frequently accessing their
phones. But the paper does conclude that phone calls, certain categories of
applications, and locations are often tied to a pleasurable mood.
As academic papers often do, the authors
are conservative in their conclusions, noting avenues for further
research--such as, for example, rises in frustration levels tied to heavy
traffic.
MoodScope sound innocent enough. But also
keep in mind that gauging emotional response is a key component of assessing
the effectiveness of advertising. In 2012, Microsoft
filed for this patent on using sensors to assess emotion --imagine that a
Web page that knew you were sad might target you for an ad pushing comfort
food, for example.
Yes, mood and emotion are two different
things, as the paper points out. But there's always a tradeoff; on one hand,
knowing your mood may provide better recommendations for music and other
services. But they can also be used against you.
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