Integrating Emotion Recognition Tools for Developing Emotionally Intelligent Agents

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

ISSN: 1989-1660

Argitalpen urtea: 2022

Alea: 7

Zenbakia: 6

Orrialdeak: 69-76

Mota: Artikulua

DOI: 10.9781/IJIMAI.2022.09.004 GOOGLE SCHOLAR lock_openSarbide irekia editor

Beste argitalpen batzuk: International Journal of Interactive Multimedia and Artificial Intelligence

Adierazleak

Jasotako aipamenak

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

JCR (Journal Impact Factor)

  • Urtea 2022
  • Aldizkariaren eragin faktorea: 3.6
  • Aldizkariaren eragin faktorea auto-aipamenik gabe: 3.2
  • Article influence score: 0.473
  • Kuartil nagusia: Q3
  • Arloa: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Kuartila: Q3 Postua arloan: 73/145 (Edizioa: SCIE)
  • Arloa: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Kuartila: Q3 Postua arloan: 56/110 (Edizioa: SCIE)

SCImago Journal Rank

  • Urtea 2022
  • Aldizkariaren SJR eragina: 0.58
  • Kuartil nagusia: Q2
  • Arloa: Computer Networks and Communications Kuartila: Q2 Postua arloan: 147/373
  • Arloa: Computer Vision and Pattern Recognition Kuartila: Q2 Postua arloan: 42/100
  • Arloa: Signal Processing Kuartila: Q2 Postua arloan: 52/115
  • Arloa: Computer Science Applications Kuartila: Q2 Postua arloan: 336/782
  • Arloa: Statistics and Probability Kuartila: Q2 Postua arloan: 112/258
  • Arloa: Artificial Intelligence Kuartila: Q3 Postua arloan: 144/284

Scopus CiteScore

  • Urtea 2022
  • Aldizkariaren CiteScore-a: 2.1
  • Arloa: Statistics and Probability Pertzentila: 55
  • Arloa: Computer Science Applications Pertzentila: 34
  • Arloa: Computer Vision and Pattern Recognition Pertzentila: 34
  • Arloa: Computer Networks and Communications Pertzentila: 33
  • Arloa: Signal Processing Pertzentila: 31
  • Arloa: Artificial Intelligence Pertzentila: 27

Journal Citation Indicator (JCI)

  • Urtea 2022
  • Aldizkariaren JCI eragina: 0.75
  • Kuartil nagusia: Q2
  • Arloa: COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Kuartila: Q2 Postua arloan: 72/163
  • Arloa: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Kuartila: Q2 Postua arloan: 73/192

Dimensions

(14-01-2024 datan eguneratutako datuak)
  • Aipamenak guztira: 2
  • Azken hitzorduak (2 urte): 2
  • Field Citation Ratio (FCR): 1.87

Laburpena

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