Autores
Carolina Fuentes, Iyubanit Rodríguez, Valeria Herskovic
Fecha de publicación
2015
Conferencia
Ambient Intelligence for Health: First International Conference, AmIHEALTH 2015, Puerto Varas, Chile, December 1-4, 2015, Proceedings 1
Páginas
189-200
Editor
Springer International Publishing
Descripción
Monitoring emotional information is highly complex: it is difficult to accurately register it due to subjectivity and technical complexities; and it is difficult to provide reliability and incorporate contextual information. However, it is an important problem in healthcare, since it is useful to monitor people, especially if they are at a high risk of depression or other mental illnesses. Research in affective computing seeks to generate new methodologies to help store, analyze and share this information. Several techniques have been proposed to monitor emotions. One of them is self-report, which is a subjective method of measuring emotions from the perspective of the individual. This work presents a new tangible interface to self-report emotions, called EmoBall, specifically designed for people with low digital competences, since it requires practically no previous knowledge of technology. We evaluated this interface and …
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