Biometric Emotion Assessment and Feedback in an Immersive Digital Environment

• Tipo: Artigo em Revista Científica Internacional
• Data: 2009

Autores

Daniel Castro Silva (Autor) FEUP; Vasco Vinhas (Autor) FEUP; Luís Paulo Reis (Autor) FEUP; Eugénio Oliveira (Autor) FEUP

Revista

Título: International Journal of Social Robotics

Vol. 1 Nº 4

Páginas: 307-317

ISSN: 1875-4791

Editora: Springer Nature

Indexação

ISI Web of Knowledge - 7 Citações

Scopus - 12 Citações

COMPENDEX

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Físicas > Ciência de computadores > Informática

Outras Informações

ID Authenticus: P-007-VK8

DOI: 10.1007/s12369-009-0029-z

Abstract (EN): Affective computing has increased its significance both in terms of academic and industry attention and investment. Alongside, immersive digital environments have settled as a reliable domain, with progressively inexpensive hardware solutions. Having this in mind, the authors envisioned the automatic real-time user emotion extraction through biometric readings in an immersive digital environment. In the running example, the environment consisted in an aeronautical simulation, and biometric readings were based mainly on galvanic skin response, respiration rate and amplitude, and phalanx temperature. The assessed emotional states were also used to modify some simulation context variables, such as flight path, weather conditions and maneuver smoothness level. The results were consistent with the emotional states as stated by the users, achieving a success rate of 77%, considering single emotions and 86% considering a quadrant-based analysis. © Springer Science & Business Media BV 2009.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 11