Biometric Emotion Assessment and Feedback in an Immersive Digital Environment

• Type: Article in International Scientific Journal
• Date: 2009

Authors

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

Journal

Title: International Journal of Social Robotics

Vol. 1 No. 4

Pages: 307-317

ISSN: 1875-4791

Publisher: Springer Nature

Indexing

ISI Web of Knowledge - 7 Citations

Scopus - 12 Citations

COMPENDEX

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Physical sciences > Computer science > Informatics

Other information

Authenticus ID: 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 11