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Instant messaging is one of the major channels of computer mediatedcommunication. However, humans are known to be very limited in understandingothers' emotions via text-based communication. Aiming on introducing emotionsensing technologies to instant messaging, we developed EmotionPush, a systemthat automatically detects the emotions of the messages end-users received onFacebook Messenger and provides colored cues on their smartphones accordingly.We conducted a deployment study with 20 participants during a time span of twoweeks. In this paper, we revealed five challenges, along with examples, that weobserved in our study based on both user's feedback and chat logs, including(i)the continuum of emotions, (ii)multi-user conversations, (iii)differentdynamics between different users, (iv)misclassification of emotions and(v)unconventional content. We believe this discussion will benefit the futureexploration of affective computing for instant messaging, and also shed lighton research of conversational emotion sensing.

Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications