Integrating implicit and explicit emotional assessment of food quality and safety concerns

Implicit and Explicit Consumer Perceptions of Cashews: A Neuroscientific and Sensory Analysis Approach

This study investigated consumer perceptions of raw cashew nuts from two different private labels (private label A, PLA, and private label B, PLB), employing a combination of explicit (sensory analysis) and implicit (consumer neuroscience) methods. The objective was to analyse both conscious and unconscious responses to understand consumer preferences. Participants (n = 80) evaluated the samples, with electroencephalography (EEG) and electrodermal activity (EDA) as implicit methods, and hedonic scales, JAR scales, and the EsSense25 questionnaire used for explicit evaluations. The results revealed a clear preference for PLB, supported by higher global hedonic scores and a significant majority (65%) choosing PLB over PLA. EEG metrics calculated for participants' valence, frontal alpha asymmetry (FAA) for flavour indicated greater activity in the left frontal lobe for PLB, associated with positive emotions. Task engagement (TE) measurements revealed higher engagement with PLB during flavour evaluation. Penalty analysis identified that PLA was mainly penalised for a "too weak" aroma and flavour. The EsSense25 analysis showed that cashew consumption evoked predominantly positive emotions such as "pleasant", "satisfied", and "calm". In conclusion, the combination of implicit and explicit methods provided a comprehensive understanding of consumer preferences, highlighting the value of both approaches and the importance of sensory attributes in driving the overall liking of raw cashews. The findings have implications for product optimisation, market segmentation, and the development of marketing strategies in the cashew industry.

The influence of front-of-pack labelling on consumer decision-making: a comprehensive study using electroencephalography and FaceReader

Front-of-pack labels (FOPL) can influence consumer behaviour in a variety of ways, and companies that prioritise accurate and transparent nutrition labels can see benefits in increased sales and brand loyalty. However, there are several types of FOPL on the market that differ in visual appeal and consumer clarity. The aim of the study was to reveal the impact of the nutrition label Nutri-Score as well as other factors on consumer decision-making when choosing healthier alternatives for selected food types. In addition to traditional research methods such as questionnaires, in-depth interviews, also emerging methods such as eye tracking, FaceReader and electroencephalography were used to collect implicit feedback. Research suggests that there are significant differences between implicit and explicit feedback when examining the impact of Nutri-Score on the decision-making process. Last but not least, the study presents ideas for future research in real-world settings using emerging methods.

From Traditional to Intelligent, A Review of Application and Progress of Sensory Analysis in Alcoholic Beverage Industry

Sensory analysis is an interdisciplinary field that combines multiple disciplines to analyze food qualitatively and quantitatively. At present, this analysis method has been widely used in product development, quality control, marketing, flavor analysis, safety supervision and inspection of alcoholic beverages. Due to the changing needs of analysis, new and more optimized methods are still emerging. Thereinto, intelligent and biometric technologies with growing attention have also been applied to sensory analysis. This work summarized the sensory analysis methods from three aspects, including traditional artificial sensory analysis, intelligent sensory technology, and innovative technologies. Meanwhile, the application sensory analysis in alcoholic beverages and its industrial production was scientifically emphasized. Moreover, the future tendency of sensory analysis in the alcoholic beverage industry is also highlights.

The Antecedents of Positive Emotion and Continuous Usage of In-Flight Meals with Respect to Food Quality Using Structural Equation Modeling

This work aimed to explore the food quality attributes of in-flight meals and to examine the antecedents of positive emotion and continuous usage of these meals. As a subdimension, this study uses multiple attributes: menu diversity, familiarity, temperature, nutrition, and presentation. Another purpose of this work is to examine the moderating effect of menu diversity on the relationship between nutrition and continuance usage. A survey via clickworker was used to collect the data for this work. There were 317 valid observations for statistical inference. This study used a structural equation model to test the hypotheses, and the Hayes process model macro 1 was adopted to test the moderating effect. The results showed that all independent variables other than familiarity significantly accounted for positive emotion. Moreover, all of these attributes had a positive impact on continuous usage. This work unveiled a significant moderating effect of menu diversity on the relationship between nutrition and continuance usage. This research elucidates the literature by clarifying the influential attributes of emotion and continuous usage intention in the domain of in-flight meal products and discussing practical implications.

An advance in novel intelligent sensory technologies: From an implicit-tracking perspective of food perception

Food sensory evaluation mainly includes explicit and implicit measurement methods. Implicit measures of consumer perception are gaining significant attention in food sensory and consumer science as they provide effective, subconscious, objective analysis. A wide range of advanced technologies are now available for analyzing physiological and psychological responses, including facial analysis technology, neuroimaging technology, autonomic nervous system technology, and behavioral pattern measurement. However, researchers in the food field often lack systematic knowledge of these multidisciplinary technologies and struggle with interpreting their results. In order to bridge this gap, this review systematically describes the principles and highlights the applications in food sensory and consumer science of facial analysis technologies such as eye tracking, facial electromyography, and automatic facial expression analysis, as well as neuroimaging technologies like electroencephalography, magnetoencephalography, functional magnetic resonance imaging, and functional near-infrared spectroscopy. Furthermore, we critically compare and discuss these advanced implicit techniques in the context of food sensory research and then accordingly propose prospects. Ultimately, we conclude that implicit measures should be complemented by traditional explicit measures to capture responses beyond preference. Facial analysis technologies offer a more objective reflection of sensory perception and attitudes toward food, whereas neuroimaging techniques provide valuable insight into the implicit physiological responses during food consumption. To enhance the interpretability and generalizability of implicit measurement results, further sensory studies are needed. Looking ahead, the combination of different methodological techniques in real-life situations holds promise for consumer sensory science in the field of food research.

Application of selected neuroscientific methods in consumer sensory analysis: A review

Neuromarketing or consumer neuroscience is a relatively new market research subdiscipline that has gained popularity among consumer behavior scientists in the past two decades or so. It combines neurobiology with behavioral psychology to understand consumer behavior, more specifically about their decisions related to choices/preferences and purchase. The purpose of this review is to explore the potential of using neuroscientific methods for consumer sensory science research. By no means, this is an exhaustive review hindered by the fact that there are countless articles on neuromarketing and consumer neuroscience in the literature. The author has tried to show the applicability of neuroscientific methods in consumer sensory sciences, specifically electroencephalography and eye tracking, which could potentially "complement" the sensory methodologies to gain better consumer insight. Both these techniques are relatively inexpensive, portable, and minimally invasive techniques that are already being used by some sensory scientists. They could be incorporated with ease in the research portfolio of consumer sensory researchers who would like to use them to study consumer affect. It is recommended that the researchers use proper experimental design that takes into consideration the confounding variables as much as possible. The two methods mentioned before have been proven to be relatively reliable and repeatable. Lastly, these methods would also require ethical oversight because of the involvement of human subjects.

A systematic review of the prediction of consumer preference using EEG measures and machine-learning in neuromarketing research

Introduction

The present paper discusses the findings of a systematic review of EEG measures in neuromarketing, identifying which EEG measures are the most robust predictor of customer preference in neuromarketing. The review investigated which TF effect (e.g., theta-band power), and ERP component (e.g., N400) was most consistently reflective of self-reported preference. Machine-learning prediction also investigated, along with the use of EEG when combined with physiological measures such as eye-tracking.

Methods

Search terms ‘neuromarketing’ and ‘consumer neuroscience’ identified papers that used EEG measures. Publications were excluded if they were primarily written in a language other than English or were not published as journal articles (e.g., book chapters). 174 papers were included in the present review.

Results

Frontal alpha asymmetry (FAA) was the most reliable TF signal of preference and was able to differentiate positive from negative consumer responses. Similarly, the late positive potential (LPP) was the most reliable ERP component, reflecting conscious emotional evaluation of products and advertising. However, there was limited consistency across papers, with each measure showing mixed results when related to preference and purchase behaviour.

Conclusions and implications

FAA and the LPP were the most consistent markers of emotional responses to marketing stimuli, consumer preference and purchase intention. Predictive accuracy of FAA and the LPP was greatly improved through the use of machine-learning prediction, especially when combined with eye-tracking or facial expression analyses.

A Review on the Role of Affective Stimuli in Event-Related Frontal Alpha Asymmetry

Frontal alpha asymmetry refers to the difference between the right and left alpha activity over the frontal brain region. Increased activity in the left hemisphere has been linked to approach motivation and increased activity in the right hemisphere has been linked to avoidance or withdrawal. However, research on alpha asymmetry is diverse and has shown mixed results, which may partly be explained by the potency of the used stimuli to emotionally and motivationally engage participants. This review gives an overview of the types of affective stimuli utilized with the aim to identify which stimuli elicit a strong approach-avoidance effect in an affective context. We hope this contributes to better understanding of what is reflected by alpha asymmetry, and in what circumstances it may be an informative marker of emotional state. We systematically searched the literature for studies exploring event-related frontal alpha asymmetry in affective contexts. The search resulted in 61 papers, which were categorized in five stimulus categories that were expected to differ in their potency to engage participants: images & sounds, videos, real cues, games and other tasks. Studies were viewed with respect to the potency of the stimuli to evoke significant approach-avoidance effects on their own and in interaction with participant characteristics or condition. As expected, passively perceived stimuli that are multimodal or realistic, seem more potent to elicit alpha asymmetry than unimodal stimuli. Games, and other stimuli with a strong task-based component were expected to be relatively engaging but approach-avoidance effects did not seem to be much clearer than the studies using perception of videos and real cues. While multiple factors besides stimulus characteristics determine alpha asymmetry, and we did not identify a type of affective stimulus that induces alpha asymmetry highly consistently, our results indicate that strongly engaging, salient and/or personally relevant stimuli are important to induce an approach-avoidance effect.

The Impact of Mood, Familiarity, Acceptability, Sensory Characteristics and Attitude on Consumers' Emotional Responses to Chocolates

Studies on emotions linked to sensory characteristics to understand consumers’ choice behaviour have grown in number rapidly. Internal consumer behaviour variables, namely mood, familiarity, acceptability, and attitude (MFAA), have been found to influence emotional response. The aim of this paper was to determine the impact of MFAA on consumers’ emotional responses towards chocolate as well as the effect of the sensory characteristics of chocolate on consumers’ emotional responses. Upon ethical approval, three chocolates were selected by a trained sensory panel based on 14 sensory attributes regarded relevant. Screened respondents (n = 149) completed an online survey based on the tasting of the chocolates by means of a home-use test (HUT). The questionnaire captured consumers’ mood (Quick mood scale), familiarity (QFFQ), acceptability (FACT), the sensory characteristics of the chocolate samples and emotional response (EsSense25 Profile), and lastly attitude (ACQ). Descriptive and inferential statistics were examined to answer the hypotheses of the study. The findings indicate that emotions are related to the bitter sensory attributes of chocolate and that this emotional response is influenced by MFAA variables, supporting the known fact that consumer behaviour is complex and multi-dimensional. Internal consumer behaviour variables play an important role in the emotions experienced during the consumption of chocolate. Investigating the relative importance of consumer behaviour components in sensory studies could allow for the design of food products such as chocolates based on a more “holistic” view of the consumer.

What Do You Want to Eat? Influence of Menu Description and Design on Consumer's Mind: An fMRI Study

The main objective of this research was to analyse the active regions when processing dishes with a pleasant (vs. unpleasant) design and the effect of the previously read rational (vs. emotional) description when visualising the dish. The functional magnetic resonance image technique was used for the study. The results showed that participants who visualised pleasant vs. unpleasant dishes became active in several domains (e.g., attention, cognition and reward). On the other side, visualisation of unpleasant dishes activated stronger regions linked to inhibition, rejection, and related ambiguity. We found that subjects who read rational descriptions when visualising pleasant dishes activated regions related to congruence integration, while subjects who visualised emotional descriptions showed an increased neuronal response to pleasant dishes in the regions related to memory, emotion and congruence.

The Facial Action Coding System for Characterization of Human Affective Response to Consumer Product-Based Stimuli: A Systematic Review

To characterize human emotions, researchers have increasingly utilized Automatic Facial Expression Analysis (AFEA), which automates the Facial Action Coding System (FACS) and translates the facial muscular positioning into the basic universal emotions. There is broad interest in the application of FACS for assessing consumer expressions as an indication of emotions to consumer product-stimuli. However, the translation of FACS to characterization of emotions is elusive in the literature. The aim of this systematic review is to give an overview of how FACS has been used to investigate human emotional behavior to consumer product-based stimuli. The search was limited to studies published in English after 1978, conducted on humans, using FACS or its action units to investigate affect, where emotional response is elicited by consumer product-based stimuli evoking at least one of the five senses. The search resulted in an initial total of 1,935 records, of which 55 studies were extracted and categorized based on the outcomes of interest including (i) method of FACS implementation; (ii) purpose of study; (iii) consumer product-based stimuli used; and (iv) measures of affect validation. Most studies implemented FACS manually (73%) to develop products and/or software (20%) and used consumer product-based stimuli that had known and/or defined capacity to evoke a particular affective response, such as films and/or movie clips (20%); minimal attention was paid to consumer products with low levels of emotional competence or with unknown affective impact. The vast majority of studies (53%) did not validate FACS-determined affect and, of the validation measures that were used, most tended to be discontinuous in nature and only captured affect as it holistically related to an experience. This review illuminated some inconsistencies in how FACS is carried out as well as how emotional response is inferred from facial muscle activation. This may prompt researchers to consider measuring the total consumer experience by employing a variety of methodologies in addition to FACS and its emotion-based interpretation guide. Such strategies may better conceptualize consumers' experience with products of low, unknown, and/or undefined capacity to evoke an affective response such as product prototypes, line extensions, etc.

The State of Automated Facial Expression Analysis (AFEA) in Evaluating Consumer Packaged Beverages

In the late 1970s, analysis of facial expressions to unveil emotional states began to grow and flourish along with new technologies and software advances. Researchers have always been able to document what consumers do, but understanding how consumers feel at a specific moment in time is an important part of the product development puzzle. Because of this, biometric testing methods have been used in numerous studies, as researchers have worked to develop a more comprehensive understanding of consumers. Despite the many articles on automated facial expression analysis (AFEA), literature is limited in regard to food and beverage studies. There are no standards to guide researchers in setting up materials, processing data, or conducting a study, and there are few, if any, compilations of the studies that have been performed to determine whether any methodologies work better than others or what trends have been found. Through a systematic Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) review, 38 articles were found that were relevant to the research goals. The authors identified AFEA study methods that have worked and those that have not been as successful and noted any trends of particular importance. Key takeaways include a listing of commercial AFEA software, experimental methods used within the PRISMA analysis, and a comprehensive explanation of the critical methods and practices of the studies analyzed. Key information was analyzed and compared to determine effects on the study outcomes. Through analyzing the various studies, suggestions and guidance for conducting and analyzing data from AFEA experiments are discussed.

An unfamiliar social presence reduces facial disgust responses to food stimuli

Consumers' emotional responses complement sensory and hedonic ratings in the prediction of food choice and consumption behaviour. The challenge with the measurement of consumption emotions is that emotions are highly context dependent. For emotion evaluations to bring greater insight to food research and development, it is essential that the influence of contextual variables on emotion are quantified. The present study contributes to the discussion with an investigation of the effect of an unfamiliar social presence on affective facial responses to visual food stimuli. Seventy participants (52 female and 18 male) viewed food images of varying acceptability either alone, or in the presence of the researcher. Subjective liking ratings were measured using a labelled affective magnitude scale, and facial muscle activity from zygomaticus major (contracted during smiling), corrugator supercilii (contracted during frowning) and levator labii superioris (contracted during nose wrinkling) were measured with an EMG recording system. Controlling for individual differences in facial expressivity and food image acceptability using linear mixed models, it was found that social context did not predict smiling or frowning muscle activity. Social context did predict the intensity of muscle activity indicative of a disgust response, with participants in the observed condition exhibiting less levator activity than participants in the alone condition. Regardless of social context, each muscle was found to have a relationship with subjective liking, with the direction of effects as expected. The results indicate that emotional stimuli and social context both influence food-evoked facial expression and provides support for the utility of facial EMG in measuring food-evoked emotion.