Tag your emotions: a novel mobile user interface for annotating images with emotions

Abstract

People tend to collect more and more data, this is especially true for images on mobile devices. Tagging images is a good way to sort such collections. While automatic tagging systems are often focused on the content, such as objects or persons in the image, manual annotations are very important to describe the context of an image. Often especially emotions are important, e.g., when a person reflects a situation, shows images from a very personal collection to others, or when using images to illustrate presentations. Unfortunately, manual annotation is often very boring and users are not very motivated to do so. While there are many approaches to motivate people to annotate data in a conventional way, none of them has focused on emotions. In this poster abstract, we present EmoWheel; an innovative interface to annotate images with emotional tags. We conducted a user study with 18 participants. Results show that the EmoWheel can enhance the motivation to annotate images.