Scientific publications
Read about the research that supports the FaceReader Ecosystem
Over the past 20+ years, our facial coding platform and its embedded technologies have been the subject as well as the preferred instrument for numerous accredited scientific studies. Below we present a comprehensive overview of the literature that has emerged from these studies, highlighting and validating the cutting-edge technology of FaceReader Online.
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.
2022
6 citations
Using FaceReader to explore the potential for harnessing emotional reactions to motivate hand hygiene
S. Rutter, M. Bonne, C. Stones, C. Macduff
This study suggests that handwashing messages should be designed to exploit emotional reactions, but more research is needed to understand how to design for these reactions. Whether disgust as important post Covid-19 requires future investigation. FaceReader can be usefully and inexpensively employed to pre-test messages.
2022
26 citations
Does Age Matter? Using Neuroscience Approaches to Understand Consumers’ Behavior towards Purchasing the Sustainable Product Online
M. C. Chiang, C. Yen, H. L. Chen
In recent years, online shopping platforms have displayed more sustainable products to attract consumer attention. Understanding the effect of age on consumers’ responses can provide a broader understanding of the critical role of psychological and physiological eye tracking, EEG recordings, and FaceReader software. Eye tracker data indicated that the older group had fewer eye movements than the younger group. The temporal and frontal cortices of groups showed differences in activity. The research also analyzed faces of adults using FaceReader software; the main expressions observed occurred happy, surprised, and neutral. This study enhances our psychology and behavior regarding neuromarketing research, combining noninvasive neuroscience methods to present data.
2022
10 citations
Facial muscle movements in patients with Parkinson’s disease undergoing phonation tests
F. Xu, X. Zou, L. Yang, S. Mo, Q. Guo, J. Zhang, X. Weng, G. Xing
Leveraging FaceReader technology, patients with PD had defects in facial landmark movement and regional movement when producing a single syllable, double syllables, which may be related to reduced facial expressions in patients PD.
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2022
2 citations
Attempt at Detection of Deception Based on Records of Physiological Reactions Remotely Captured with FaceReader Software. Part 1
J. Widacki, B. Wójcik, A. Szuba-Boroń
Strong emotions are among others manifested in the expressive movements (facial expression). Facial expressions are natural and universal by nature. They do not depend on ethnicity, culture, social status, age, etc. Nonetheless, humans are sometimes capable of controlling their facial expressions, hiding emotions. Simulating is a fundamental acting skill. However, impressions takes time. The onset of such control is delayed anything from 0.25 to even 0.1 second – a period when an authentic expression, adequate emotion demonstrated therefore remains imperceptible to an external observer. This short-lived expression observed that short meantime is known as a microexpression. FaceReader, designed by the Dutch company Noldus (established and directed by Professor Lucas Noldus), is software package for automatic recognition and analysis of expression. As its diagnostic value and validity as well as reliability, are at a level of correct indications, it is unknown, we decided to determine it experimentally. We have chosen to run an experiment comparing it with traditional polygraph examination.
2022
20 citations
Multi-Modal-based Emotional Contagion from Tourists to Hosts: The Dual-Process Mechanism
S. Zhang, N. Chen, C. H. C. Hsu, J. X. Hao
In this research, FaceReader software is used to explore multi-modal-based emotional contagion from tourists to hosts: the dual-process mechanism, providing objective data on emotional responses and facial muscle activities.