Thesis

Affective computing and mobile instant-messaging communication

This research explores affective computing's ability to reduce ambiguity within the realm of electronic communication. Text messaging is the focus of the study, and two Apple iMessage applications were created to allow a user to filter emoji using either manual selection of emotion or automatic selection via facial recognition APIs. The purpose of the study was to determine if senders using the applications that allowed filtering were able to communicate their emotions to recipients with their text messages more effectively. This was determined by testing these two applications alongside a control that provided no emoji filtering. It was found that neither of the filtering applications provided a significant improvement over an unfiltered list. However, there was evidence that this type of filtering may be faster and provide a quicker experience for users. Besides, all experiment participants preferred the emotional filtering applications to the control.

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