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Publication Tag: Emotion Research

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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.
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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.
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2019
4 citations
Vocal and facial expressions and meaning effects in speech expressivity
M. A. de Souza Fontes, S. Madureira
The objective of this work is to investigate the congruence between non-verbal and verbal cues in persuasive speech. Selected corpus comprises video excerpts which artists from divergent political perspectives provide support to minister Brazilian Supreme Federal Court. research methodology comprises: annotation of excerpts; text analysis; automatic analysis of speakers’ facial expressions emotions by means FaceReader; vocal quality prosodic settings VPA; acoustic data ExpressionEvaluator (Barbosa, 2009); multivariate statistical analysis, applying MFA R, package FactorMinerR, correlate qualitative and quantitative variables. Results indicate interplay among facial expressions, vocal prosodies, intended persuasiveness.
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2022
15 citations
What’s in a face: Automatic facial coding of untrained study participants compared to standardized inventories
T. T. A. Höfling, G. W. Alpers, B. Büdenbender, U. Föhl, A. B. M. Gerdes
Automatic facial coding (AFC) is a novel research tool to automatically analyze emotional expressions. AFC can classify expressions with high accuracy in standardized picture inventories. However, classification of untrained study participants is more error-prone. This discrepancy requires a direct comparison between these two sources. To this end, 70 participants were asked to express joy, anger, surprise, sadness, disgust, and fear in a typical laboratory setting. Recorded videos were scored with well-established software (FaceReader, Noldus Information Technology). These were compared with measures from pictures from trained actors (i.e., inventories). We report the probability estimates of specific emotion categories and, in addition, Action Unit (AU) profiles for each emotion. Based on this, we used a machine learning approach to determine relevant AUs for each emotion, separately for both datasets. First, misclassification was frequent in some emotions participants. Second, AU intensities were generally lower in all emotions. Third, although AU profiles overlapped substantially across datasets, there were also substantial differences in their profiles. This provides evidence that the application is not limited to expression but can be used to code emotions in untrained study participants.
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2023
6 citations
Predicting Perceived Hedonic Ratings through Facial Expressions of Different Drinks
Y. Matsufuji, K. Ueji, T. Yamamoto
Previous studies have established the utility of facial expressions as an objective assessment approach for determining hedonics (overall pleasure) in food and beverages. This study endeavors to validate the conclusions drawn from preceding research, illustrating that facial expressions prompted by tastants possess the capacity to forecast perceived hedonic ratings of these tastants. Facial expressions of 29 female participants, aged 18-55 years, were captured using a digital camera during their consumption of diverse concentrations of solutions representative of five basic tastes. Employing the widely employed expression analysis application FaceReader, emotions were meticulously assessed, identifying seven emotions (surprise, happiness, scare, neutral, disgust, sadness, anger) characterized by scores ranging from 0-1, a numerical manifestation of emotional intensity. Simultaneously, participants rated each solution, utilizing a scale spanning -5 (extremely unpleasant) to +5 (pleasant). A multiple linear regression analysis model was devised. The model’s efficacy was scrutinized assessing emotion when applied to 11 additional taste solutions, sampled from 20 other participants. The anticipated results demonstrated robust alignment and agreement with observed ratings, underpinning the validity of earlier findings, even when incorporating software-based stimuli across a varied participant base. We discuss some limitations and practical implications of our technique in predicting beverage hedonics.
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2023
102 citations
Risk, Trust, and Emotion in Online Pharmacy Medication Purchases: Multimethod Approach Incorporating Customer Self-Reports, Facial Expressions, and Neural Activation (Preprint)
S. Ersöz, A. Nissen, R. Schütte
BACKGROUND: Online pharmacies are used less than other e-commerce sites in Germany. Shopping behavior does not correspond to consumption behavior, as online purchases predominantly made for over-the-counter (OTC) medications. OBJECTIVE: The objective of this study was to understand the purchasing experiences of pharmacy customers in terms of critical factors for adoption. METHODS: This examined perceived risk, trust, and emotions related to medications and, consequently, purchase intention toward pharmacies. In a within-subjects design (N=37 participants), 2 German with different perceptions of risk, trust, were investigated their main business, namely OTC and prescription drugs. results preliminary led 1 high significantly low self-reported by prestudy sample. Emotions measured multimethod approach during and after situation follows: (1) neural evaluation processes using functional near-infrared spectroscopy, (2) automated direct motor response use via facial expression analysis (FaceReader), and (3) subjective evaluations through self-reports. Following shopping at both product types, assessed self-assessments. RESULTS: rated differently emotions, intention. high-risk also having lower vice versa. Significantly stronger negative emotional expressions on customers’ faces activations ventromedial prefrontal cortex, dorsomedial when drugs from low-risk pharmacy, combined line this, self-ratings indicated higher pharmacy. Moreover, ratings showed CONCLUSIONS: Using measurements, we that preceding activation subsequent verbal reflected immediate expressions. High-risk lead trigger imply loss. Low-risk weaker signify certainty reward. may provide an explanation why purchased more frequently CLINICALTRIAL: University Duisburg-Essen, Germany (21-9995-BO)
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2021
31 citations
Sensory Features, Liking and Emotions of Consumers towards Classical, Molecular and Note by Note Foods
A. Głuchowski, E. Czarniecka‐Skubina, E. Kostyra, G. Wasiak‐Zys, K. Bylinka
Modern cuisine served at top-end restaurants attempts to attract customers, who increasingly demand new flavor, pleasure, and fun. The materials were six dishes prepared using lemon or tomatoes made in the traditional (classical), molecular and Note by Note (NbN) versions. The study explores sensory characteristics, consumer liking, of key attributes, their declared sensations, emotions, as well as consumers’ facial expressions responding to dishes. These objectives were investigated using descriptive quantitative analysis tests. Tests included a 9-point hedonic scale for degree of dish, Check-All-That-Apply (CATA) and FaceReader expressions. Influence of factors associated with attitudes toward food and willingness to try in the future also determined. It was stated that product profiles represent different characteristics due to technology and production ingredients used. Neophobia and innovativeness had significant (p ≤ 0.05) effect on liking. Odor-, flavor-, texture- and overall-liking of NbN were lower than versions, but did not vary from scores of samples. Consumers experienced liking for NbN, but expected higher experienced-liking. Traditional and modern products differed in CATA terms. Classical perceived by consumers as more tasty, typical, while modern as surprising, intriguing, innovative and trendy. Mimic assessment showed similar trends for some emotions in both classical and separate temporal patterns of products.
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2020
19 citations
Significance of Intensity of Swedish Massage Course in Improvement of Health Status
U. Veseta, A. Gulbe, O. Onžeevs
In this research, FaceReader software is used to explore significance of intensity of swedish massage course in improvement of health status, providing objective data on emotional responses and facial muscle activities.
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2022
2 citations
Specifics of the Emotional Response of Patients Suffering From Major Depressive Disorder to Imagined Basic Tastes of Food
L. Jarutiene, V. Adomaitiene, V. Steibliene, G. Juodeikiene, D. Cernauskas, D. Klupsaite, V. Lele, E. Milasauskiene, E. Bartkiene
Nowadays, major depressive disorder (MDD) is a common disease that negatively affects the life quality of many people around the world. As MDD symptoms are closely related with changes in food and eating, relation between patients’ emotional responses to tastes could be used as criteria for diagnostic. Until now, studies on response to different tastes have been poorly described in literature. Therefore, the aim of this study was to evaluate the response of patients suffering from MDD and compare results with control group. Emotional responses were tested using cards and words of basic tastes such as “sweet,” “salty,” “bitter,” “sour,” and “neutral.” The assessment was performed using FaceReader 6 software. The outcome showed that participants expressed lower “happy” and “contempt” emotions, along with negative valence (mean, in comparison to controls), for all basic tastes (p ≤ 0.05). When a Likert scale was used, significant differences (p ≤ 0.001) were found only for “sour” and “salty” imaginary tastes in the MDD group, in comparison to the healthy group. These findings provide additional data for food-associated emotion analysis and are useful for further development of contactless method for early diagnosis of MDD.
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2021
24 citations
The Effectiveness of Facial Expression Recognition in Detecting Emotional Responses to Sound Interventions in Older Adults With Dementia
Y. Liu, Z. Wang, G. Yu
This research uses facial expression recognition software (FaceReader) to explore the influence of different sound interventions on the emotions of older people with dementia. The field experiment was carried out in a public activity space in an adult care facility. Three intervention sources were used, namely, music, stream, and birdsong. Data collected through the Self-Assessment Manikin Scale (SAM) were compared with (FER) data. FaceReader identified differences in emotional responses. Participants had significantly higher valence for all three interventions than without (p < 0.01). Indices of sadness, fear, disgust differed between interventions. For example, before the start of birdsong intervention, the index initially increased by 0.06 from 0 s to about 20 s, followed by a linear downward trend, an average reduction of 0.03 per s. In addition, arousal was lower when interventions began before, rather than concurrently with, the start of birdsong (p < 0.01). Moreover, stream interventions, there were significant days (p < 0.05 or p < 0.01). Furthermore, age and gender. Finally, comparison of SAM and FER results showed that music (first 80 s) helps predict dominance (r = 0.600), acoustic comfort (r = 0.545); birdsong (first 40 s) predicts pleasure (r = 0.770), acoustic comfort (r = 0.766); and music (r = 0.824), birdsong (r = 0.891).
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