Post by account_disabled on Mar 6, 2024 0:03:43 GMT -5
User Situation. The Technology is Still in Development, but Its Creators Are Already Discussing Possible Uses. One of Them is the Recommendation Algorithm for Participation in Entertainment Services, Such as . How Many Times a Day Do We See Statuses or Tweets That Convey How the Author of the Post Was Feeling at That Moment. You Will See Inspirational Phrases, Nostalgic Memories, Signs of Happiness, Sadness or the Most Intense Anger. Sometimes It is Just a Word Meant to Define and Succinctly Convey Our State of Mind. Some May Argue That Social Networks Are Not the Place for This Type of Information, but for Clichés and Other Anti-emotional Arguments. But the Fact is That Emotions Spread Through Social Networks, and Microsoft Research Hopes to Change This Habit and Created an App. What Would Happen if Instead of Having to Write This Information Yourself, the Smartphone Itself Guessed It and Automatically Communicated It on Behalf of the User? .
The Most Straightforward Answer May Be: Admiral is Full of "Happy", "Sad", "Joyful" and Other Messages. Not Only That, but Other Services Can Use Sentiment Data to Improve Their Functionality and Adapt to People's Situations at Any Time. How the Technology Works to Create a System That Recognizes Emotions, Information Chinese Europe Phone Number List About the Activities a User Performs, Their Location and When. To Define What Such Data Means, the Company Selected Volunteers From the United States and China. He Asked Them to Submit Their Mood Swings Regularly, With Most Submitting Four or More Times a Day. These Emotions Are Intertwined With Phone Calls, Text Messages, Emails, App Moments, Web Page Visits and Location Records. By Combining All the Data on the Table, the User's Activity, the Moment of Activity and Its Location.
Are Related to Their Emotions. A Test Conducted on Volunteers Who Used the App for Two Months Showed That They Could Guess Their Emotions With an Accuracy of . The Creators of the Technology Note That Optimizing the Software, Including Enlarging the Database, Can Increase the Success Rate to . The System Does Not Require Any Additional Sensors Beyond Those Already Included in Any Current Smartphone. Running the Program Consumes Very Little Battery. Apps and Privacy Issues the Purpose is Not Just to Automatically Update Social Networks Based on Users' Moods. Although Its Creators Didn't Leave This Aspect Behind. They Consider This Information Valuable Because It Tells a Contact That Now Might Not Be a Good Time to Joke With Someone, or It Gives People an Idea of the Tone and Tact When Talking to Someone. However, It Can Also Be Integrated With Other Applications.
The Most Straightforward Answer May Be: Admiral is Full of "Happy", "Sad", "Joyful" and Other Messages. Not Only That, but Other Services Can Use Sentiment Data to Improve Their Functionality and Adapt to People's Situations at Any Time. How the Technology Works to Create a System That Recognizes Emotions, Information Chinese Europe Phone Number List About the Activities a User Performs, Their Location and When. To Define What Such Data Means, the Company Selected Volunteers From the United States and China. He Asked Them to Submit Their Mood Swings Regularly, With Most Submitting Four or More Times a Day. These Emotions Are Intertwined With Phone Calls, Text Messages, Emails, App Moments, Web Page Visits and Location Records. By Combining All the Data on the Table, the User's Activity, the Moment of Activity and Its Location.
Are Related to Their Emotions. A Test Conducted on Volunteers Who Used the App for Two Months Showed That They Could Guess Their Emotions With an Accuracy of . The Creators of the Technology Note That Optimizing the Software, Including Enlarging the Database, Can Increase the Success Rate to . The System Does Not Require Any Additional Sensors Beyond Those Already Included in Any Current Smartphone. Running the Program Consumes Very Little Battery. Apps and Privacy Issues the Purpose is Not Just to Automatically Update Social Networks Based on Users' Moods. Although Its Creators Didn't Leave This Aspect Behind. They Consider This Information Valuable Because It Tells a Contact That Now Might Not Be a Good Time to Joke With Someone, or It Gives People an Idea of the Tone and Tact When Talking to Someone. However, It Can Also Be Integrated With Other Applications.