Our paper “A systematic literature review about technologies for self-reporting emotional information” has been accepted at the Journal of Ambient Intelligence and Humanized Computing. This was truly a team effort, with the collaboration of three of our PhD students, Carolina Fuentes, Carmen Gerea and Iyubanit Rodríguez, as well as Maíra Marques (PhD student at Universidad de Chile) and Pedro Rossel, our collaborator from UCSC (Concepción, Chile).
The paper is available online first here.
Abstract: Emotional information is complex to manage by humans and computers alike, so it is difficult for users to express emotional information through technology. Two main approaches are used to gather this type of information: objective (e.g. through sensors or facial recognition) and subjective (reports by users themselves). Subjective methods are less intrusive and may be more accurate, although users may fail to report their emotions or not be entirely truthful about them. The goal of this study is to identify trends in the area of interfaces for the self-report of human emotions, under-served populations of users, and avenues of future research. A systematic literature review was conducted on six search engines, resulting in a set of 863 papers, which were filtered in a systematic way until we established a corpus of 40 papers. We studied the technologies used for emotional self-report as well as the issues regarding these technologies, such as privacy, interaction mechanisms, and how they are evaluated.