Meta-analytic evidence for ambivalence resolution as a key process in effortless self-control

Certainty in holistic thinking and responses to contradiction: Dialectical proverbs, counter-attitudinal change and ambivalence

The present research examined whether consideration of individuals' certainty in their holism can enhance the ability of this individual difference to predict how they respond to contradiction-relevant outcomes. Across four studies, participants first completed a standardized measure of holistic-analytic thinking. Then, they rated how certain they were in their responses to the holism scale or were experimentally induced to feel high or low certainty. Next, participants were exposed to dialectical proverbs (Study 1a and 1b), to a counter-attitudinal change induction (Study 2), or to a paradigm of attitudinal ambivalence (Study 3). Results revealed that participants with higher certainty in their holistic thinking exhibited higher preference for dialectical proverbs (Study 1a and 1b), changed their attitude less following a counter-attitudinal task (Study 2) and showed weaker correspondence between objective and subjective ambivalence (Study 3). Beyond examining new domains and discovering novel findings, the present work was designed to be the first to show moderation of previously identified effects in the domain of holistic thinking and responses to contradiction.

When ethics also matter: Influence of taste, health, and ethical attributes on food decisions traced with a novel mouse-tracking paradigm

Understanding which food attributes influence food decisions is a matter of public health and a lever for interventions promoting healthy diets. Research shows that food decisions are strongly influenced by taste, with health having a weaker and later influence in the food decision process. Yet, the influence of other food attributes and specifically ethical attributes in food decision processes-as traceable in mouse-tracking data-has not been investigated. Furthermore, past research tracing food decision processes with classical mouse-tracking tools has artificially reduced the occurrence of neutral food items, particularly on the taste attribute. This represents an important limitation as neutral items on taste are particularly likely to be influenced by higher-order level attributes, such as health, but also ethics. Extending previous research, two preregistered studies (Study 1, N = 77; Study 2, N = 92) aimed at filling these gaps using a novel one-dimensional mouse-tracking paradigm. Results showed that taste, health, and ethics all influenced food decisions and interacted over time during decision processes. Taste still had the strongest influence, hence replicating previous findings with the present novel mouse-tracking paradigm. Of importance, ethics and health also influenced decisions-and sometimes had an early significant effect-especially for food items rated as neutral on taste. Beyond these effects and taking full advantage of the use of mixed effects models for all analyses, graphical representations of the influence of taste, health, and ethical attributes for all individual food items were provided. Results are discussed considering previous findings and suggested levers for interventions.

Specificity in the Study of Mixed Emotions: A Theoretical Framework

Research on mixed emotions is yet to consider emotion-specificity, the idea that same-valenced emotions have distinctive characteristics and functions. We review two decades of research on mixed emotions, focusing on evidence for the occurrence of mixed emotions and the effects of mixed emotions on downstream outcomes. We then propose a novel theoretical framework of mixed-emotion-specificity with three foundational tenets: (a) Mixed emotions are distinguishable from single-valenced emotions and other mixed emotions based on their emotion-appraisal relationships; (b) Mixed emotions can further be characterized by four patterns that describe relationships between simultaneous appraisals or appraisals that are unique to mixed emotions; and (c) Carryover effects occur only on outcomes that are associated with the appraisal characteristics of mixed emotion. We outline how mixed-emotion-specific effects can be predicted based on the appraisal tendency framework. Temporal dynamics, the application of mixed-emotion-specificity to individual difference research, methodological issues, and future directions are also discussed.

Ambivalence and Self-Reported Adherence to Recommendations to Reduce the Spread of COVID-19

Abstract. Governments worldwide still, to some extent, rely on behavioral recommendations to reduce the spread of COVID-19. We examine the role of ambivalence toward both the specific recommendations (micro-ambivalence) and the pandemic as a whole (macro-ambivalence) about compliance. We predict that micro ambivalence relates negatively, whereas macro ambivalence relates positively to self-reported adherence to recommendations. We present two studies ( N = 691) supporting our hypotheses: the more ambivalent people are toward the behavioral recommendations (micro-level), the less they report following them. Conversely, the more ambivalent people are about the pandemic as a whole (macro-level), the more they report following recommendations. Our findings were replicated in a US sample and a representative German sample.

Study Protocol of the Ten Years Up Project: Mapping the Development of Self-Regulation Strategies in Young Adults Over Time

Self-regulation is an important predictor of many outcomes relating to health and well-being. Research thus far has not systematically addressed the development of self-regulation strategies during young adulthood, but instead has focused on the predictive value of childhood self-regulation competence for outcomes later in life. The present study protocol describes the Ten Years Up (10YUP) project, a longitudinal cohort of young adults who will be followed for Ten years. By adopting a dynamic approach, we aim to examine how the nature and frequency of self-regulation strategies develop over time, document to what extent the use of strategies is affected by contextual and personal factors, and determine how these strategies affect health and well-being over the course of ten years. The 10YUP project employs a prospective longitudinal design to map the development of self-regulation strategies over time. A sample of 3,000 participants will be recruited by random selection from the general population of 16-year olds to retain a final sample of 1,000 participants after Ten years (accounting for an estimated drop-out rate of 10% each year). A mobile app will be used to collect data every 3 months. Self-regulation strategies will be assessed by means of the Goal Setting and Striving Inventory that asks participants to list their personal goals and then choose their most important goal to answer items about goal perception and strategy use. The resulting composite self-regulation index will be related to a wide range of contextual and personal factors that may act as either antecedents or consequences of self-regulation, depending on their specific time of assessment (either prior to or following self-regulation assessment) by means of cross-lagged panel analyses and other analyses allowing for establishing causal relationships over time. The 10YUP project is likely to generate novel insights into the development of self-regulation in young adulthood, how this development is affected by personal and contextual factors, and how these in turn may be influenced by how young people self-regulate—which is important for public policies aimed at guiding young people's choices and how they affect their health and well-being.

Robocalypse? Yes, Please! The Role of Robot Autonomy in the Development of Ambivalent Attitudes Towards Robots

Attitudes towards robots are not always unequivocally positive or negative: when attitudes encompass both strong positive and strong negative evaluations about an attitude object, people experience an unpleasant state of evaluative conflict, called ambivalence. To shed light on ambivalence towards robots, we conducted a mixed-methods experiment with N = 163 German university students that investigated the influence of robot autonomy on robot-related attitudes. With technological progress, robots become increasingly autonomous. We hypothesized that high levels of robot autonomy would increase both positive and negative robot-related evaluations, resulting in more attitudinal ambivalence. We experimentally manipulated robot autonomy through text vignettes and assessed objective ambivalence (i.e., the amount of reported conflicting thoughts and feelings) and subjective ambivalence (i.e., self-reported experienced conflict) towards the robot ‘VIVA’ using qualitative and quantitative measures. Autonomy did not impact objective ambivalence. However, subjective ambivalence was higher towards the robot high versus low in autonomy. Interestingly, this effect turned non-significant when controlling for individual differences in technology commitment. Qualitative results were categorized by two independent raters into assets (e.g., assistance, companionship) and risks (e.g., privacy/data security, social isolation). Taken together, the present research demonstrated that attitudes towards robots are indeed ambivalent and that this ambivalence might influence behavioral intentions towards robots. Moreover, the findings highlight the important role of technology commitment. Finally, qualitative results shed light on potential users’ concerns and aspirations. This way, these data provide useful insights into factors that facilitate human–robot research.

Does digital literacy influence students' online risk? Evidence from Covid-19

The adoption of online-based learning and the internet has had both a positive impact on students. This study aims to understand how digital literacy, parental mediation, and self-control affects online risk during the Covid-19 pandemic in Indonesia. This paper elaborated a quantitative method with SEM-PLS to raise the comprehension of the phenomenon studied. A questionnaire was voluntarily responded to approximately 300 elementary school students who engaged in online-based learning. The structural equation modeling estimation indicates that digital literacy, parental mediation, and self-control influences online risk. However, parental mediation failed in promoting students' self-control. These findings suggest that both digital literacy and parental mediation needs to be penetrated to reduce the impact of online risk in the teaching and learning process. This is the first step for schools and parents' alertness in assisting and considering the appropriate and safe media using technology.

Willpower is overrated

Any analysis of self-regulation that focuses solely on willpower in conflict-laden situations is insufficient. Research makes clear that the best way to reach one's goal is not to resist temptations but to avoid temptations before they arrive; it further suggests that willpower is fragile and not to be relied on; and that the best self-regulators engage in willpower remarkably seldom.