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Sunday, September 29, 2019

Detecting Frustration to Enhance Conversation

A better means giving feedback?  We do in human conversation,  in a two way or multi-way conversation we stop for questions,  notice frowns,  gestures,  complaints.    A perfect conversation would have each component perfectly understood, absorbed, and then adjusted to.  But its only rarely happens that way.     Right now assistants ask you if their answer helped,  but rarely then adapt a new answer if not.   That's where some real human intelligence would live.  And taking that further to save the questions + adapted answers for later use.   Suggest below that deep learning can move to this.

Amazon is Testing a Way to Make the Thing You Hate Most About Alexa Go Away  in Inc.com

Ever found yourself screaming at your smart speaker? That just might work next time.
What if Alexa could tell if you were frustrated and course correct? That's exactly the feature Amazon will start testing, the company just announced at its September Devices Event. Alexa will soon have "frustration detection." It detects when Alexa gets your requests wrong, then tries to get it right. Amazon will start testing the feature with music requests in 2020, then will roll it out to other tasks gradually. 

Just say, "No, Alexa."

The feature will only be turned on for music requests to start. If Alexa plays the wrong song (e.g what is definitely not beach sounds), you can say, "No, Alexa." She'll apologize and ask you to clarify.

Here's how Amazon described the feature on their blog:

As customers continue to use Alexa more often, they want her to be more conversational and can get frustrated when Alexa gets something wrong. To help with this, we developed a deep learning model to detect when customers are frustrated, not with the world around them, but with Alexa. And when she recognizes you're frustrated with her, Alexa can now try to adjust, just like you or I would do. ... " 

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