ArticleFrontiers in psychology2021
The Influence of Key Facial Features on Recognition of Emotion in Cartoon Faces.
Article in Frontiers in psychology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 16 citations in OpenAlex.
- Race and gender biases in assessing pain intensity and medication needs among Chinese observers.Pain reports · 2025Article
- Facial features of cartoon characters and their perceived attributes.Scientific reports · 2025Article
- Facial icons as indexes of emotions and intentions.Frontiers in psychology · 2024Article
- Trait anger and negative interpretation bias in neutral face perception.Frontiers in psychology · 2023Article
- Lateral Habenula Responses During Eye Contact in a Reward Conditioning Task.Frontiers in behavioral neuroscience · 2022Article
- The Relations of Attention to and Clarity of Feelings With Facial Affect Perception.Frontiers in psychology · 2022Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cartoon faces are widely used in social media, animation production, and social robots because of their attractive ability to convey different emotional information. Despite their popular applications, the mechanisms of recognizing emotional expressions in cartoon faces are still unclear. Therefore, three experiments were conducted in this study to systematically explore a recognition process for emotional cartoon expressions (happy, sad, and neutral) and to examine the influence of key facial features (mouth, eyes, and eyebrows) on emotion recognition. Across the experiments, three presentation conditions were employed: (1) a full face; (2) individual feature only (with two other features concealed); and (3) one feature concealed with two other features presented. The cartoon face images used in this study were converted from a set of real faces acted by Chinese posers, and the observers were Chinese. The results show that happy cartoon expressions were recognized more accurately than neutral and sad expressions, which was consistent with the happiness recognition advantage revealed in real face studies. Compared with real facial expressions, sad cartoon expressions were perceived as sadder, and happy cartoon expressions were perceived as less happy, regardless of whether full-face or single facial features were viewed. For cartoon faces, the mouth was demonstrated to be a feature that is sufficient and necessary for the recognition of happiness, and the eyebrows were sufficient and necessary for the recognition of sadness. This study helps to clarify the perception mechanism underlying emotion recognition in cartoon faces and sheds some light on directions for future research on intelligent human-computer interactions.
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