Sandwich or sweets? An assessment of two novel implicit association tasks to capture dynamic motivational tendencies and stable evaluations towards foods

Sensory Analysis and Consumer Preference: Best Practices

Sensory science is a multidisciplinary field that encompasses a wide variety of established and newly developed tests to document human responses to stimuli. Sensory tests are not limited to the area of food science but they find wide application within the diverse areas of the food science arena. Sensory tests can be divided into two basic groups: analytical tests and affective tests. Analytical tests are generally product-focused, and affective tests are generally consumer-focused. Selection of the appropriate test is critical for actionable results. This review addresses an overview of sensory tests and best practices.

Improving the touchscreen-based food approach-avoidance task: remediated block-order effects and initial findings regarding validity

Approach biases to foods may explain why food consumption often diverges from deliberate dietary intentions. Yet, the assessment of behavioural biases with the approach-avoidance tasks (AAT) is often unreliable and validity is partially unclear. The present study continues a series of studies that develop a task based on naturalistic approach and avoidance movements on a touchscreen (hand-AAT). In the hand-AAT, participants are instructed to respond based on the food/non-food distinction, thereby ensuring attention to the stimuli. Yet, this implies the use of instruction switches (i.e., 'approach food - avoid objects' to 'avoid food - approach objects'), which introduce order effects. The present study increased the number of instruction switches to potentially minimize order effects, and re-examined reliability. We additionally included the implicit association task (IAT) and several self-reported eating behaviours to investigate the task's validity. Results replicated the presence of reliable approach biases to foods irrespective of instruction order. Evidence for validity, however, was mixed: biases correlated positively with external eating, increase in food craving and aggregated image valence ratings but not with desire to eat ratings of the individual images considered within participants or the IAT. We conclude that the hand-AAT can reliably assess approach biases to foods that are relevant to self-reported eating patterns.

A Systematic Review Of Implicit Attitudes And Their Neural Correlates In Eating Behaviour

An increasing number of studies suggests that implicit attitudes toward food and body shape predict eating behaviour and characterize patients with eating disorders (EDs). However, literature has not been previously analysed, thus differences between patients with EDs and healthy controls and the level of automaticity of the processes involved in implicit attitudes are still matters of debate. The present systematic review aimed to synthetize current evidence from papers investigating implicit attitudes towards food and body in healthy and EDs populations. PubMed, EMBASE (Ovid), PsycINFO, Web of Science and Scopus were systematically screened and 183 studies using different indirect paradigms were included in the qualitative analysis. The majority of studies reported negative attitudes towards overweight/obese body images in healthy and EDs samples and weight bias as a diffuse stereotypical evaluation. Implicit food attitudes are consistently reported as valid predictors of eating behaviour. Few studies on the neurobiological correlates showed neurostimulation effects on implicit attitudes, but the automaticity at brain level of implicit evaluations remains an open area of research. In conclusion, implicit attitudes are relevant measures of eating behaviour in healthy and clinical settings, although evidence about their neural correlates is limited.

Effect of metabolic state on implicit and explicit responses to food in young healthy females

Recent neuroscience research has delineated key psychological components of reward: wanting, liking and learning. Each component is further divided into explicit and implicit processes. While explicit processes are consciously experienced, implicit processes are not always directly accessible to conscious inspection. In the present study, we investigated the effect of metabolic state on implicit and explicit responses and their relationship in food context, especially when foods and visually matched non-food items are contrasted, and when foods in a sole food context but differing in energy content (high-energy - low-energy) or taste (sweet - savoury) were contrasted. Sixty healthy non-obese females participated in the study in fasted and fed states. Three Implicit Association Tests were used to assess implicit associations. Explicit liking and wanting ratings were assessed by visual analogue scales. In the implicit food-non-food context, food was preferred over non-food items both in fasted and fed states, though the strength of implicit associations declined significantly from fasted to fed state. However, the direction or strength of implicit associations was not significantly different between the metabolic states when comparing concepts within food context only, differing in energy content or taste. Instead, explicit responses reflected the change in the metabolic state in a manner consistent with alliesthesia and sensory-specific satiety. The results of the present study suggest that implicit associations are relatively resistant to acute change in the metabolic condition compared to explicit ratings, which shift more readily according to the fasted-fed continuum. The shift in the prevailing metabolic state was, however, reflected in the strength of implicit responses towards food in relation to non-food items, yet in the sole food contexts implicit associations were comparable between the fasted and fed states.

An event-related potential study of consumers' responses to food bundles

We conducted two event-related potentials (ERP) experiments to investigate consumers' responses to different types of food bundles. In Experiment 1, the participants were instructed to indicate their wanting of a three-yogurt bundle when their neural activity was recorded. The results of self-report wanting scores revealed that the participants wanted bundles consisting of their favorite yogurt products more than those of disliked products. Such a difference in self-report scores was also indexed by the N2 in frontal brain and the P1 in the left hemisphere. By contrast, bundles consisting of three different yogurt products elicited a smaller amplitude of the N2 than bundles consisting of two favorite products and one disliked product, but these two types of bundles received comparable wanting scores. Moreover, we asked the participants in Experiment 2 to perform a visual discrimination task on these bundles, and did not found these effects on the N2 or the P1. Collectively, these results revealed neural activities underlying consumers' responses to food rewards, and demonstrated the role of individuals' variety-seeking tendency in wanting process.

Predicting Behavior With Implicit Measures: Disillusioning Findings, Reasonable Explanations, and Sophisticated Solutions

Two decades ago, the introduction of the Implicit Association Test (IAT) sparked enthusiastic reactions. With implicit measures like the IAT, researchers hoped to finally be able to bridge the gap between self-reported attitudes on one hand and behavior on the other. Twenty years of research and several meta-analyses later, however, we have to conclude that neither the IAT nor its derivatives have fulfilled these expectations. Their predictive value for behavioral criteria is weak and their incremental validity over and above self-report measures is negligible. In our review, we present an overview of explanations for these unsatisfactory findings and delineate promising ways forward. Over the years, several reasons for the IAT's weak predictive validity have been proposed. They point to four potentially problematic features: First, the IAT is by no means a pure measure of individual differences in associations but suffers from extraneous influences like recoding. Hence, the predictive validity of IAT-scores should not be confused with the predictive validity of associations. Second, with the IAT, we usually aim to measure evaluation ("liking") instead of motivation ("wanting"). Yet, behavior might be determined much more often by the latter than the former. Third, the IAT focuses on measuring associations instead of propositional beliefs and thus taps into a construct that might be too unspecific to account for behavior. Finally, studies on predictive validity are often characterized by a mismatch between predictor and criterion (e.g., while behavior is highly context-specific, the IAT usually takes into account neither the situation nor the domain). Recent research, however, also revealed advances addressing each of these problems, namely (1) procedural and analytical advances to control for recoding in the IAT, (2) measurement procedures to assess implicit wanting, (3) measurement procedures to assess implicit beliefs, and (4) approaches to increase the fit between implicit measures and behavioral criteria (e.g., by incorporating contextual information). Implicit measures like the IAT hold an enormous potential. In order to allow them to fulfill this potential, however, we have to refine our understanding of these measures, and we should incorporate recent conceptual and methodological advancements. This review provides specific recommendations on how to do so.

Implicit evaluation of chocolate and motivational need states interact in predicting chocolate intake in everyday life

Snack food consumption has a high relevance for health and is partially controlled by implicit, motivational processes that make self-control difficult at certain times. Specifically, research suggests that individuals with a more positive implicit food evaluation consume more snack foods in the laboratory under conditions of high motivational needs (e.g., hunger and food craving). Yet, no study investigated if and under which circumstances implicit evaluation of food predicts snack food intake in real life. In the present study, 60 female undergraduate students (mean age: 22.3 ± 2.34 years) at the University of Salzburg, Austria, completed a chocolate-related Single Category Implicit Association Test in the laboratory and then reported snack food intake during seven days of signal-contingent Ecological Momentary Assessment. Results showed that a more positive implicit evaluation of chocolate was associated with a higher likelihood of consuming chocolate in states of high hunger and high momentary chocolate craving, whereas no such modulatory pattern was found in states of low hunger or low chocolate craving. Therefore, interventions targeting daily chocolate craving and consumption may be particularly beneficial in specific situations (i.e., in states of high hunger and craving) and also in vulnerable populations (e.g., those with a more positive implicit food evaluation).