Integrating Emotion Recognition Tools for Developing Emotionally Intelligent Agents

  1. Marcos-Pablos, Samuel
  2. Lobato, Fernando
  3. García-Peñalvo, Francisco
Zeitschrift:
International Journal of Interactive Multimedia and Artificial Intelligence

ISSN: 1989-1660

Datum der Publikation: 2022

Ausgabe: 7

Nummer: 6

Seiten: 69-76

Art: Artikel

DOI: 10.9781/IJIMAI.2022.09.004 GOOGLE SCHOLAR lock_openOpen Access editor

Andere Publikationen in: International Journal of Interactive Multimedia and Artificial Intelligence

Indikatoren

Zitate erhalten

  • Zitate in Scopus: 2 (07-02-2024)
  • Zitate in 'Web of Science': 1 (15-10-2023)
  • Zitate in Dimensions: 2 (14-01-2024)

JCR (Journal Impact Factor)

  • Jahr 2022
  • Impact Factor der Zeitschrift: 3.6
  • Impact Factor ohne Selbstzitierung: 3.2
  • Article influence score: 0.473
  • Höchstes Quartil: Q3
  • Bereich: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Quartil: Q3 Position im Bereich: 73/145 (Ausgabe: SCIE)
  • Bereich: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Quartil: Q3 Position im Bereich: 56/110 (Ausgabe: SCIE)

SCImago Journal Rank

  • Jahr 2022
  • Impact SJR der Zeitschrift: 0.58
  • Höchstes Quartil: Q2
  • Bereich: Computer Networks and Communications Quartil: Q2 Position im Bereich: 147/373
  • Bereich: Computer Vision and Pattern Recognition Quartil: Q2 Position im Bereich: 42/100
  • Bereich: Signal Processing Quartil: Q2 Position im Bereich: 52/115
  • Bereich: Computer Science Applications Quartil: Q2 Position im Bereich: 336/782
  • Bereich: Statistics and Probability Quartil: Q2 Position im Bereich: 112/258
  • Bereich: Artificial Intelligence Quartil: Q3 Position im Bereich: 144/284

Scopus CiteScore

  • Jahr 2022
  • CiteScore der Zeitschrift: 2.1
  • Bereich: Statistics and Probability Perzentil: 55
  • Bereich: Computer Science Applications Perzentil: 34
  • Bereich: Computer Vision and Pattern Recognition Perzentil: 34
  • Bereich: Computer Networks and Communications Perzentil: 33
  • Bereich: Signal Processing Perzentil: 31
  • Bereich: Artificial Intelligence Perzentil: 27

Journal Citation Indicator (JCI)

  • Jahr 2022
  • JCI der Zeitschrift: 0.75
  • Höchstes Quartil: Q2
  • Bereich: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Quartil: Q2 Position im Bereich: 72/163
  • Bereich: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Quartil: Q2 Position im Bereich: 73/192

Dimensions

(Aktualisierte Daten ab 14-01-2024)
  • Gesamtzitate: 2
  • Letzten Termine (2 jahre): 2
  • Field Citation Ratio (FCR): 1.87

Zusammenfassung

Emotionally responsive agents that can simulate emotional intelligence increase the acceptance of users towardsthem, as the feeling of empathy reduces negative perceptual feedback. This has fostered research on emotionalintelligence during last decades, and nowadays numerous cloud and local tools for automatic emotionalrecognition are available, even for inexperienced users. These tools however usually focus on the recognitionof discrete emotions sensed from one communication channel, even though multimodal approaches have beenshown to have advantages over unimodal approaches. Therefore, the objective of this paper is to show ourapproach for multimodal emotion recognition using Kalman filters for the fusion of available discrete emotionrecognition tools. The proposed system has been modularly developed based on an evolutionary approach soto be integrated in our digital ecosystems, and new emotional recognition sources can be easily integrated.Obtained results show improvements over unimodal tools when recognizing naturally displayed emotions