API Face Value

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Wyman, A. & Zhang, Z. (2023). API Face Value. Journal of Behavioral Data Science, 3(1), 1-11. https://doi.org/10.35566/jbds/v3n1/wyman

Publication date: 13 Jul 2023 Added to AutiHub: 4 Oct 2026 Type: Article Article language: English
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Authors

Publication authors
2
Publication authors identified as autistic
1 / 2 (50.0%)
  1. Austin Wyman *
  2. Zhiyong Zhang

Abstract

Emotion recognition application programming interface (API) is a recent advancement in computing technology that synthesizes computer vision, machine-learning algorithms, deep-learning neural networks, and other information to detect and label human emotions. The strongest iterations of this technology are produced by technology giants with large, cloud infrastructure (i.e., Google, and Microsoft), bolstering high true positive rates. We review the current status of applications of emotion recognition API in psychological research and find that, despite evidence of spatial, age, and race bias effects, API is improving the accessibility of clinical and educational research. Specifically, emotion detection software can assist individuals with emotion-related deficits (e.g., Autism Spectrum Disorder, Attention Deficit-Hyperactivity Disorder, Alexithymia). API has been incorporated in various computer-assisted interventions for Autism, where it has been used to diagnose, train, and monitor emotional responses to one's environment. We identify AP's potential to enhance interventions in other emotional dysfunction populations and to address various professional needs. Future work should aim to address the bias limitations of API software and expand its utility in subfields of clinical, educational, neurocognitive, and industrial-organizational psychology.

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Cited references
46
With a DOI
45
Without a DOI, from raw bibliography text
0
1 / 46 (2.2%) cited references include at least one author identified as autistic.
References with data to complete
0 / 46 (0.0%)
References with detected author names
46 / 46 (100.0%)
Without detected author names
0
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0
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0
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0
References with external metadata lookup issues
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Author names detected in the cited bibliography
195
From DOI or external metadata
195
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0
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0
Raw names still to review
0
11 / 195 (5.6%) names are linked to an author already present in AutiHub. 184 / 195 (94.4%) names are not yet linked.
Names linked to a person identified as autistic
1 / 195 (0.5%)
Calculated across all author names detected in the cited bibliography. Among names linked to an author already present in AutiHub: 1 / 11 (9.1%). Distinct people identified as autistic: 1 / 192 (0.5%).
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