What apps should benefit from an API that detects moods?

To begin with I would like to list down. 
1) What sort of apps are possible? 
2) I will select some which are relevant for Google
3) Recommend one App that we should build and why?
4) Talk about the success metrics for that app. 
5) Summerize what we did so far.
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1) What sort of apps are possible.
   A) Social media apps can use this but who want the world to know if I am sad. 

        But you could have permissions like your close friends and family can know your emotional
        state. 

   B) Counseling app
   C)  Alexa, GoogleHome kind of app - I will port the API to them
   D) AI-enabled Companion pet/friend
   E) I will integrate into car driving systems
   F) Online Meeting app can use this to let other participants know hat someone is stressed out,
       feeling tired. of seemingly looking confused. 
   G) Live online learning platforms can use it to know when students are confused. 
   H) recorded a video learning platform like Coursera/Uedmy use it to know which portion of their video people were most confused. 
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2) Among all of these if I select which of these are relevant for Google. 

A) Social media use case is relevant as Google has Google Plus but more than often people don't want to let the worlds know when they are sad, stressed. In fact, people often fake on social media that they are the happiest person on the planet. 

Yes, people can select to show emotions only to very close friends and family. But again in order for this feature to be successful people need to give consent, and in today's world kids are hesitant to accept parents and grandparents as friends on social media.  So I suspect they will easily give consent to parents. Yes some of them may happily give consent to share their emotion with their close friends, classmates, etc. 

Overall this can definitely have some positive impact on the mental well-being of people but for now, I am moving on to the next solution.

C & D ) is relevant for GoogleHome, but given that API is currently available only for I will keep it for google's long term research goals. The moon shots. 

E) is very relevant to Google Maps:  If I am driving google maps can detect that I am not talking to a co-passenger and just listening to some music. I may get tired my lateness levels are gone down, 

it could alert me or why just alert with me rather converse with me, talk to me on topics like good things on last vacation, funny things that happened during the last long drive. keep me engaged so that that I don't fall asleep and I always have enough alertness. 

Let's call just alerting as v1 and conversation as v2. 

F) Google has online meetings, Google Meets, it's very much applicable there for the effectiveness of the meeting

 

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Recommendation:  I would recommend the Google Maps Navigation idea because the impact is very high.  I will also put the online meeting idea at the very top of my backlog.  

OR maybe since given that Google Maps and Google Meet are two different teams. I can ask both ideas to be implemented.

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Success metrics: 
Google Map Navigations: 
North star metrics:  Numer of times emotion detector kicked in and alerted/conversed. 

There can be many secondary metrics like every time the emotion detector kicked in ask the user for feedback if that helped, whats their feedback. 

GoogleMeet: 
How many times emotion detection kicked in and was correct, ask the presenter for the feedback did emotion detector helped you? 
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Summary: So overall what we did was 
1) We saw, What sort of apps are possible with such API? 
2) We shortlisted that make sense for Google
3) We prioritize that and came up with the recommendation that Google Maps and GoogleMeet both should use this.
4) We talked about the success metrics for that app.