Sensing Emotions in Text Messages: An Application and Deployment Study of EmotionPush
This work addresses the need for better emotion awareness in instant messaging for users, but it is incremental as it applies existing emotion classifiers to a new deployment context.
The authors tackled the problem of conveying emotions in text messages by introducing EmotionPush, a system that uses emotion classifiers to display colored push notifications on mobile devices, and found that it helped users prioritize interactions.
Instant messaging and push notifications play important roles in modern digital life. To enable robust sense-making and rich context awareness in computer mediated communications, we introduce EmotionPush, a system that automatically conveys the emotion of received text with a colored push notification on mobile devices. EmotionPush is powered by state-of-the-art emotion classifiers and is deployed for Facebook Messenger clients on Android. The study showed that the system is able to help users prioritize interactions.