Automatic Facial Expression Analysis as a Measure of User-Designer Empathy

Article Properties
  • Language
    English
  • DOI (url)
  • Publication Date
    2023/01/09
  • Indian UGC (journal)
  • Refrences
    53
  • Citations
    2
  • Aleksi Salmi Aalto University Design Factory, Department of Mechanical Engineering, , Espoo , Finland
  • Jie Li Aalto University Design Factory, Department of Mechanical Engineering, , Espoo , Finland
  • Katja Holtta-Otto The University of Melbourne Mechanical Engineering, , Parkville, VIC 3010 , Australia ;Aalto University , Espoo , Finland ,
Abstract
Cite
Salmi, Aleksi, et al. “Automatic Facial Expression Analysis As a Measure of User-Designer Empathy”. Journal of Mechanical Design, vol. 145, no. 3, 2023, https://doi.org/10.1115/1.4056494.
Salmi, A., Li, J., & Holtta-Otto, K. (2023). Automatic Facial Expression Analysis as a Measure of User-Designer Empathy. Journal of Mechanical Design, 145(3). https://doi.org/10.1115/1.4056494
Salmi, Aleksi, Jie Li, and Katja Holtta-Otto. “Automatic Facial Expression Analysis As a Measure of User-Designer Empathy”. Journal of Mechanical Design 145, no. 3 (2023). https://doi.org/10.1115/1.4056494.
Salmi A, Li J, Holtta-Otto K. Automatic Facial Expression Analysis as a Measure of User-Designer Empathy. Journal of Mechanical Design. 2023;145(3).
Refrences
Title Journal Journal Categories Citations Publication Date
Inconstant Empathy—Interpersonal Factors That Influence the Incompleteness of User Understanding

Journal of Mechanical Design
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
3 2023
Are You Feeling Me? An Exploration of Empathy Development in Engineering Design Education

Journal of Mechanical Design
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
15 2021
Understanding customers across national cultures: the influence of national cultural differences on designers’ empathic accuracy Journal of Engineering Design
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Engineering (General). Civil engineering (General)
5 2021
Facial mimicry, empathy, and emotion recognition: a meta-analysis of correlations Cognition and Emotion
  • Philosophy. Psychology. Religion: Psychology
  • Philosophy. Psychology. Religion: Psychology
  • Medicine: Internal medicine: Neurosciences. Biological psychiatry. Neuropsychiatry: Neurology. Diseases of the nervous system: Psychiatry
37 2020
The Influence of Designers’ Cultural Differences on the Empathic Accuracy of User Understanding The Design Journal
  • Fine Arts: Architecture
  • Fine Arts
9 2020
Citations
Title Journal Journal Categories Citations Publication Date
Machine learning for human emotion recognition: a comprehensive review

Neural Computing and Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
2024
Toward Artificial Empathy for Human-Centered Design

Journal of Mechanical Design
  • Technology: Mechanical engineering and machinery
  • Technology: Mechanical engineering and machinery
  • Technology: Engineering (General). Civil engineering (General)
2023
Citations Analysis
The category Technology: Mechanical engineering and machinery 2 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Toward Artificial Empathy for Human-Centered Design and was published in 2023. The most recent citation comes from a 2024 study titled Machine learning for human emotion recognition: a comprehensive review. This article reached its peak citation in 2024, with 1 citations. It has been cited in 2 different journals. Among related journals, the Neural Computing and Applications cited this research the most, with 1 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year