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Publication Tag: Psychology

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2023
8 citations
The relationship between charitable giving and emotional facial expressions: Results from affective computing
A. Shepelenko, P. Shepelenko, A. Obukhova, V. Kosonogov, A. Shestakova
In this research, FaceReader software is used to explore the relationship between charitable giving and emotional facial expressions: results from affective computing, providing objective data on emotional responses and facial muscle activities.
2023
11 citations
Quantifying the efficacy of an automated facial coding software using videos of parents
R. C. Burgess, I. Culpin, I. Costantini, H. Bould, I. Nabney, R. M. Pearson
Leveraging FaceReader technology, we discuss the implications of our findings in the context of future automated facial coding studies, and we emphasise the need to consider gender-specific influences in research.
2023
6 citations
Sludged! Can financial literacy shield against price manipulation at the shops?
T. West, D. Butler, L. Smith
In this research, FaceReader software is used to explore sludged! can financial literacy shield against price manipulation at the shops?, providing objective data on emotional responses and facial muscle activities.
2022
15 citations
Test–Retest Reliability in Automated Emotional Facial Expression Analysis: Exploring FaceReader 8.0 on Data from Typically Developing Children and Children with Autism
Z. Borsos, Z. Jakab, K. Stefanik, B. Bogdán, M. Gyori
Leveraging FaceReader technology, this study utilizes test–retest reliability in automated emotional facial expression analysis: exploring facereader 8.0 on data from typically developing children and children with autism to analyze facial expressions and emotional states. It provides insights into how automated facial coding can be applied to research and practical scenarios.
2023
8 citations
The cross-race effect in automatic facial expression recognition violates measurement invariance
Y. T. Li, S. Yeh, T. R. Huang
Emotion has been a subject undergoing intensive research in psychology and cognitive neuroscience over several decades. Recently, more studies of emotion have adopted automatic rather than manual methods for facial expression recognition to analyze images or videos of human faces. Compared to manual methods, these computer-vision-based methods can help objectively and rapidly analyze a large amount of data. These methods are also validated and believed to be accurate in their judgments. However, they often rely on statistical learning models (e.g., deep neural networks), which are intrinsically inductive and thus suffer from problems of induction. Specifically, that were trained primarily on Western faces may not generalize well and accurately to judge Eastern faces, then jeopardize measurement invariance of emotions in cross-cultural studies. To demonstrate such possibility, this study carries out cross-racial validation of two popular systems—FaceReader and DeepFace—using face datasets. Although both systems could achieve overall high accuracies in judgments by category on datasets, they performed relatively poorly, especially for negative emotions. While the results caution use of non-Western, they suggest measurements of happiness outputted by invariant across races, hence still utilized for positive psychology.
2024
42 citations
The effects of online facial muscle training with resonance vocalization on mental health in postpartum women: A single-arm pilot study
R. Okamoto, E. Terasawa, A. Usui, M. Matsushima, H. Okayama
Leveraging FaceReader technology, in the future, intervention studies with a higher evidence level, such as a crossover randomized controlled trial, are required.
2022
6 citations
The multimodal construction of political personae through the strategic management of semiotic resources of emotion expression
N. S. Drăgan, G. I. Fârte
This paper presents an analytical framework for analyzing how multimodal resources of emotion expression are semiotically materialized in discursive interactions. Specific to political discourse. Interested personae are emotionally constructed through meaning-making practices, our analysis model assumes an interdisciplinary perspective, which integrates facial – using FaceReader™ software – the theory of emotional arcs and bodily actions (hand gestures) that express emotions, multimodality. The results show that the choices actors make during discursive interactions allow them to build their political brand connections with the audience on an emotional level.
2022
6 citations
Expressions of anger during advising on life dilemmas predict suicide risk among college students
C. Hu, J. Huang, C. Huang, M. Munroe, D. Xie, M. Li
Research has demonstrated a relationship between anger and suicidality, while real-time, authentic emotions behind facial expressions could be detected during advising on hypothetical protagonists in life dilemmas. This study aimed to investigate the predictive validity of anger for suicide risk. Besides advising on dilemmas (a friend’s betrayal, an attempt), 130 adults completed the Suicidal Scale and the Mini-International Neuropsychiatric Interview. Participants’ advice-giving was measured 29 times/s by artificial intelligence (AI)-based software (FaceReader 7.1). The results showed that anger was a significant predictor. Increased anger was associated with higher suicide risk. In contrast, there was no correlation between risk duration or length of advising. Therefore, measuring micro-expressions with AI-based software may help detect anger among clinical patients in both traditional and online counseling contexts to prevent suicide.
2019
87 citations
Facial Expressions of Basic Emotions in Japanese Laypeople
W. Sato, S. Hyniewska, K. Minemoto, S. Yoshikawa
Facial expressions that show emotion play an important role in human social interactions. In previous theoretical studies, researchers have suggested there are universal, prototypical facial expressions specific to basic emotions. However, the results of some empirical studies tested production of emotional based on particular scenarios only partially supported predictions. In addition, all were conducted in Western cultures. We investigated Japanese laypeople (n = 65) to provide further evidence regarding expressions. The participants produced for six emotions (anger, disgust, fear, happiness, sadness, and surprise) scenarios. Under baseline condition, imitated photographs automatically coded using FaceReader in terms of intensities action units. contrast photograph where target shown clearly, scenario condition elicited clearly happy surprised conditions yielded different profiles units associated with tested. These results partial support theory but suggest possibility may need be modified evidence.
2022
8 citations
How corporate social responsibility moderates the relationship between distributive unfairness and organizational revenge: a deontic justice perspective
W. Deng, M. Jia, Z. Zhang
This paper aims to investigate the differential moderating effects of two types (internal/external) of corporate social responsibility (CSR) on the relationship between distributive injustice and organization-directed revenge through the mediating role of negative emotions. Study 1 was a vignette study based on a sample of 501 part-time master of business administration students in China aimed at testing different levels of internal (external) CSR. Study 2 involved a laboratory experiment which 108 postgraduate were recruited to scrutinize contrasting CSR (internal vs. external) test the underlying mechanisms. The latest facial expression analysis technology (FaceReader 5.0 software) was used to detect participants’ emotional state. Findings demonstrates that CSR buffers organizational behavior. However, the effect of external CSR is not significant. Compared with CSR, internal CSR induces fewer emotions. The presence of emotions detected by software also verified. Practical implications authors hope findings this can provide theoretical references for enterprise managers to enhance their employee governance, develop more effective intervention policies, and formulate corresponding coping to prevent and mitigate workplace behaviors. Originality/value First, enriches the literature on organization introducing CSR as an governance tool. Second, reconciles prior inconsistent about response occurrence events distinguishing examining. Such distinction derived from heterogeneous justice perceptions arising actions. In addition, measure multi-method approach integrating PANAS scale, represents method advancement provides measuring.

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