Alignment in Multimodal Interaction: An Integrative Framework

When people are engaged in social interaction, they can repeat aspects of each other’s communicative behavior, such as words or gestures. This kind of behavioral alignment has been studied across a wide range of disciplines and has been accounted for by diverging theories. In this paper, we review various operationalizations of lexical and gestural alignment. We reveal that scholars have fundamentally different takes on when and how behavior is considered to be aligned, which makes it difficult to compare findings and draw uniform conclusions. Furthermore, we show that scholars tend to focus on one particular dimension of alignment (traditionally, whether two instances of behavior overlap in form), while other dimensions remain understudied. This hampers theory testing and building, which requires a well-defined account of the factors that are central to or might enhance alignment. To capture the complex nature of alignment, we identify five key dimensions to formalize the relationship between any pair of behavior: time, sequence, meaning, form, and modality. We show how assumptions regarding the underlying mechanism of alignment (placed along the continuum of priming vs. grounding) pattern together with operationalizations in terms of the five dimensions. This integrative framework can help researchers in the field of alignment and related phenomena (including behavior matching, mimicry, entrainment, and accommodation) to formulate their hypotheses and operationalizations in a more transparent and systematic manner. The framework also enables us to discover unexplored research avenues and derive new hypotheses regarding alignment.     

Sociodemographic,Cognitive, and Emotional Determinants of Two Health Behaviors during SARS-CoV-2 Outbreak: An Online Study among French-Speaking Belgian Responders during the Spring Lockdown

To contain the SARS-CoV-2 infection rate, health authorities have encouraged the population to enhance protective behaviors such as physical distancing and handwashing. Behavioral sciences emphasize the role of sociocognitive determinants to explain health behaviors, while largely ignoring emotional factors. In a large online study (N > 4000), we investigated the role of sociodemographic, cognitive, emotional, and social factors that can facilitate or hinder handwashing and limitation of social contacts. Data were collected from March 18 until April 19, 2020, which corresponds to the spring lockdown and the first peak of the pandemic in Belgium. Logistic regressions showed that sociodemographic factors (gender, age, level of education) and the dimensions of the Theory of Planned Behavior (intentions, attitudes, perceived behavioral control and subjective norms) had a strong impact on health behaviors, but that emotional factors explained an additional part of the variance. Being more attentive/determined and frightened/anxious, along with scoring higher on health anxiety were related to a higher frequency of handwashing. In contrast, being enthusiastic/happy was related to lower adherence to limiting social contacts. Our results suggest that the type of predictors and the direction of associations depend on the type of health behavior considered. The role of specific emotional factors in addition to more classical predictors is discussed. The study offers new perspectives regarding the factors that are associated with the adherence to behaviors recommended to adopt when faced with a pandemic.     

A model for personality at three levels

People differ. How and why they differ are the fundamental questions for personality psychologists. In this article we address three levels at which people differ: within individuals, between individuals, and between groups of individuals. A dynamic model of personality is considered where traits are seen as rates of change in states in response to environmental cues. Within individuals, motivational and behavioral states show inertial properties and lead to an analysis of rates of change and latencies of behavior. Between individuals, the analysis is one of frequency and duration of choices. When individuals self select into groups reflecting shared interests and abilities, the structure of these group differences reflects the consequences of the self selection. Examples of the dynamic model are given for each level of analysis.     

What if your partner…? A situated decision-making approach to romantic competence in young adulthood

Individuals are likely to vary in their abilities to enact appropriate relationship behavior. With the aim of quantifying such differences, young adult participants were asked to rate the likelihood that they would respond to simulated relationship challenges in different ways and such responses were transformed into a Romantic Competence-Behavioral Tendency (RC-BT) metric through the use of several innovations. Three studies (total N = 496) then showed that higher RC-BT scores were predictive of prosocial feelings for the partner in combination with lesser aggression. Further, both participants and their partners were more satisfied and committed to their relationships with higher RC individuals. The findings provide support for a new way of thinking about romantic competence that builds on situated decision-making processes.     

Untangling the Theory of Planned Behavior's auxiliary assumptions and theoretical assumptions: Implications for predictive and intervention studies

It has been asserted that the Theory of Planned Behavior (TPB) is better at behavioral prediction than it is behavioral change. However, the performance of a theory depends not only on the theoretical propositions, but the auxiliary assumptions attached to the theory. It is because of such auxiliary assumptions, which are required to bridge the gap between nonobservational terms at the level of theory and the observational terms at the level of the empirical hypothesis, that we believe critiques of the TPB's utility are misguided. We argue that a failure to separate theoretical assumptions from auxiliary assumptions leads to this false assumption. We suggest the importance of distinguishing between the auxiliary assumptions required for prediction studies and the auxiliary assumptions required for intervention studies. We believe that in attaching sound auxiliary assumptions to intervention studies, the TPB is equally effective at facilitating behavior change as it is behavior prediction.     

The Battle of the Screens: Unraveling Attention Allocation and Memory Effects When Multiscreening

Multiscreening, the simultaneous usage of multiple screens, is a relatively understudied phenomenon that may have a large impact on media effects. First, we explored people's viewing behavior while multiscreening by means of an eye‐tracker. Second, we examined people's reporting of attention, by comparing eye‐tracker and self‐reported attention measures. Third, we assessed the effects of multiscreening on people's memory, by comparing people's memory for editorial and advertising content when multiscreening (television–tablet) versus single screening. The results of the experiment (N = 177) show that (a) people switched between screens 2.5 times per minute, (b) people were capable of reporting their own attention, and (c) multiscreeners remembered content just as well as single screeners, when they devoted sufficient attention to the content.     

Using an infotainment system while driving – A continuous analysis of behavior adaptations

Despite the fact that drivers are performing a lot of distracting tasks while driving (e.g. usage of infotainment systems) they are usually able to manage difficult situations. Drivers often seem to be able to adapt and effectively regulate their behavior according to the demands of the driving situation. Not much is known about the functional behavior that allows drivers to successfully regulate their intentional demands. The current study aims to investigate these adaptations and provides a methodological approach to do so. 38 participants performed a simulated driving task while using an In-Vehicle Infotainment System. Driving data and activity data for the secondary task were recorded and analyzed continuously over time. Participants permanently adapted their driving behavior and particularly reduced their secondary task activity when approaching critical driving situations. Following that, drivers should be regarded as active managers of their workload capacities, who actively frame a driving situation and adjust their operating behavior to the environment. To measure these adjustments, a continuous analysis of both driving as well as secondary task behavior is essential.