Title
A systematic literature review about technologies for self-reporting emotional information.
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.
Year
DOI
Venue
2017
10.1007/s12652-016-0430-z
J. Ambient Intelligence and Humanized Computing
Keywords
Field
DocType
Systematic literature review, Emotions, Interfaces, Self-report
Data science,Facial recognition system,Systematic review,Computer science,Self report,Artificial intelligence,Multimedia,Machine learning
Journal
Volume
Issue
ISSN
8
4
1868-5145
Citations 
PageRank 
References 
1
0.35
38
Authors
6
Name
Order
Citations
PageRank
Carolina Fuentes1195.32
Valeria Herskovic222423.12
Iyubanit Rodriguez3124.54
Carmen Gerea410.35
Maira Marques5174.33
Pedro O. Rossel6597.38