Do speakers use less redundant language with more proficient interlocutors? Both the communicative efficiency framework and the language development literature predict that speech directed to younger infants should be more redundant than speech directed to older infants. Here, we test this by quantifying redundancy in infant-directed speech using entropy rate – an information-theoretic measure reflecting average degree of repetitiveness. While IDS is often described as repetitive, entropy rate provides a novel holistic measure of redundancy in this speech genre. Using two developmental corpora, we compare entropy rates of samples taken from different ages. We find that parents use less redundant speech when talking to older children, illustrating an effect of perceived interlocutor proficiency on redundancy. The developmental decrease in redundancy reflects a decrease in lexical repetition, but also a decrease in repetitions of multi-word sequences, highlighting the importance of larger sequences in early language learning.

This paper investigates the dynamics of semantic associations by exploring the interplay between continuity and direction, in a geometric semantic space. While acknowledging the role of continuity in guiding associations, our work introduces the notion of Direction as a crucial factor influencing transitions. Conceptually, we define the stream of associations as movement along a sequence of objects, with attention amplifying dissimilarity and progressing in the direction of maximal resolution. The direction of maximal resolution is conceptualized as the most "stretched" direction, representing the focal point of our study. Methodologically, we propose a unique version of discrete Ricci curvature to measure the direction of maximal resolution, adapting traditional curvature concepts to a hypergraph framework. Empirically, our investigation involves a categorical fluency task where participants name animals, constructing a hypergraph for transition analysis. We evaluate two hypotheses: the relationship between edge "stretchiness" and transition probability, and the enhanced explanatory power of considering Similarity + Direction over similarity alone. Our model challenges the standard view by proposing that the stream of thought moves in the direction of maximal resolution. We introduce the novel idea of Ricci curvature of a hypernetwork to quantify resolution and demonstrate its application in the context of semantic space.

Bakker and Lelkes (Citation2024) point at a critical gap in research on affective polarisation: the limited understanding of its affective components, mainly due to the reliance on a unidimensional operationalisation of affect in affective polarisation. They advocate for a broader approach to study affect, integrating explicit and implicit measures, and call on emotion specialists to address this gap. Acknowledging the complexity of affect in the ideological divide, we argue that the lack of a thorough examination of the distinct role of discrete emotions constitutes the primary “affective gap”. Drawing from studies on the relationship between ideological groups and utilising a discrete emotions approach, we contest the prevailing assumption that hatred predominantly underlies affective polarisation. Instead, we propose that disappointment, better captures the intricate dynamics between ideological groups. We argue that such nuanced approach, regarding the affective component of affective polarisation enhances our understanding of the phenomenon and shed light on its implications for societies.

The mechanisms of romantic bonding in humans are largely unknown. Recent research suggests that physiological synchrony between partners is associated with bonding. This study combines an experimental approach with a naturalistic dating setup to test whether the individual differences in social and nonsocial synchrony are interdependent, and linked to romantic attractiveness. In a preregistered online experiment with 144 participants, we discover that inducing physiological synchrony between an actor and an actress determines their attractiveness ratings by participants, indicating that synchrony can increase perceived attraction. In a lab-based naturalistic speed-dating experiment, we quantify in 48 participants the individual tendency for social physiological synchrony, nonsocial sensorimotor synchrony, and romantic attractiveness. We discover that the individual propensity to synchronize in social and nonsocial tasks is correlated. Some individuals synchronize better regardless of partners or tasks, and such Super Synchronizers are rated as more attractive. Altogether, this demonstrates that humans prefer romantic partners who can synchronize.

The war between Russia and Ukraine is not only over territory or security but also over public opinion. Research has shown that national leaders can leverage their personality – in a general, positive sense – to arouse, in people living beyond their countries’ borders, emotions of empathy or pro-social reactions towards their countries’ citizens. We focus on the personality of Ukrainian President Zelensky and examine which of his personality traits can promote empathy and pro-social behavior towards Ukrainians. In two experimental studies, conducted in Israel and in the US, we found that exposure to a news article that highlights Zelensky’s communal traits (warmth/morality), as compared to his agentic traits (competence/determination), led to (a) increased levels of empathy towards Ukrainian citizens, (b) willingness to help them, and (c) an actual monetary donation for their benefit. We end by discussing the theoretical and practical implications of the findings.

Emotions and moods have been distinguished in the literature. If they are distinct, we may expect emotion regulation and mood regulation to be distinct too. We show that although emotion regulation and mood regulation are considered theoretically distinct, they are often confounded empirically. We review characteristics proposed to distinguish emotions from moods by different theoretical approaches to emotion. We also review challenges to these propositions, suggesting that one valid distinction involves intentionality. Building on the above, we discuss possible differences between emotion regulation and mood regulation. Finally, we encourage the use of accurate terminology, argue for the importance of empirically testing hypotheses regarding distinctions between emotion regulation and mood regulation, and discuss possible implications.

Recent breakthroughs in artificial intelligence (AI) language models have elevated the vision of using conversational AI support for mental health, with a growing body of literature indicating varying degrees of efficacy. In this paper, we ask when, in therapy, it will be easier to replace humans and, conversely, in what instances, human connection will still be more valued. We suggest that empathy lies at the heart of the answer to this question. First, we define different aspects of empathy and outline the potential empathic capabilities of humans versus AI. Next, we consider what determines when these aspects are needed most in therapy, both from the perspective of therapeutic methodology and from the perspective of patient objectives. Ultimately, our goal is to prompt further investigation and dialogue, urging both practitioners and scholars engaged in AI-mediated therapy to keep these questions and considerations in mind when investigating AI implementation in mental health.

A foundational mechanism underlying human cooperation is reciprocity. In the context of repeated interactions with others, it is not always clear the degree to which in-kind responses reflect responsiveness to partners’ prior behaviors (“reactive” responses), an interest unrelated to the partner (“nonreactive” responses), or any combination of the two. To disentangle these two types of responses, we presented children with sequential, one-shot, and costly interactions between themselves and either egalitarian or selfish peers. Study 1 tested direct, generalized, and normative reciprocal scenarios (N = 144 seven-year-old German children; 50% girls and 50% boys), finding that “nonreactive” responses were dominant for boys and manifested in the form of “selfish” resource distribution. Among girls, “reactive” responses were dominant and manifested in the form of in-kind resource distribution. Study 2 addressed even younger German children (N = 144; 4- to 8-year-old German children; 50% girls and 50% boys), exposing the same phenomenon among 4-year-olds, but not among 5.5-year-olds. Study 3 addressed 7-year-old Israeli children (N = 95; 49% girls and 51% boys), and replicated the basic phenomenon, with an additional cultural variation. The early emergence of gender differences in reciprocity and implications are discussed in cultural, socio-developmental, and evolutionary accounts. (PsycInfo Database Record (c) 2024 APA, all rights reserved)

Closing the achievement gap for minority students in higher education requires addressing the lack of belonging these students experience. This paper introduces a psychological intervention that strategically targets key elements within the learning environment to foster the success of minority students. The intervention sought to enhance Palestinian minority student’s sense of belonging by increasing the presence of their native language. We tested the effectiveness of the intervention in two field experiments in Israel (n > 20,000), at the height of the COVID-19 pandemic when all classes were held via Zoom. Lecturers in the experimental condition added a transcript of their names in Arabic to their default display (English/Hebrew only). Our findings revealed a substantial and positive impact on Palestinian student’s sense of belonging, class participation, and overall grades. In experiment 1, Palestinian student’s average grade increased by 10 points. In experiment 2, there was an average increase of 4 points among Palestinian students’ semester grade. Our intervention demonstrates that small institutional changes when carefully crafted can have a significant impact on minority populations. These results have significant implications for addressing educational disparities and fostering inclusive learning environment.

Classic motivational conflicts theory (Lewin, 1931) distinguishes between approach–approach, and avoidance–avoidance conflicts. Previous research has focused solely on testing the theory’s prediction that avoidance–avoidance conflicts are more difficult to resolve than approach–approach ones, using outcome measures (decision time and self-reports). The theory, however, specifies a force-fields mechanism to account for this difference in conflict resolution difficulty, whereby avoidance–avoidance conflicts (compared to approach–approach ones) elicit more (a) oscillations and (b) return to the middle point between options. However, this force-fields mechanism has never been empirically tested, arguably due to a lack of the tools to do so. In five studies (N = 534 U.K. residents), we use mouse-tracking measures to provide insight into the force-fields mechanism. We show that the force-fields’ mechanistic properties—oscillations and returns to the middle point—distinguish the two types of conflict and uniquely account for conflict resolution difficulty beyond standard conflict-strength measures. Moreover, we test a novel, theory-driven prediction and robustly show a differential pattern of increased oscillations as a function of the decision-maker’s proximity to the decision options. Finally, we test a boundary condition moderating the influence of conflict type on both the force-fields’ mechanistic properties and conflict resolution difficulty. (PsycInfo Database Record (c) 2024 APA, all rights reserved)