Communications Psychology最新文献

The term 'inertia' refers to the seemingly common Autistic experience of remaining in a state of rest or a state of motion until there is some form of external intervention. While a heavily discussed phenomenon in the Autistic community, it has been scarcely acknowledged in the academic literature. The present study aimed to advance knowledge of Autistic inertia by analysing a large qualitative sample of naturalistic discourse on the topic from Autistic online communities on the social media platform, 'Reddit'. We identified 501 relevant posts shared between 2005 and 2023, including 9,955 comments. We analysed the posts using reflexive thematic analysis with an inductive approach. We identified four themes, centred on the "all or nothing" extremes of inertia (Theme 1), the range of factors that intersect with and exacerbate it (Theme 2), its joyful and often highly-disabling impacts (Theme 3), and the varied ways in which Reddit users manage it (Theme 4). Our findings corroborated those from existing interview-based studies and also uncovered additional insights, elaborating on 'the vicious cycle' of inertia, its fatiguing effects and its interaction with other commonly co-occurring conditions. We discuss these less-reported experiences and identify what we know - and are still yet to understand - about the key features of Autistic inertia.

Common-pool resource dilemmas are group resource sustainability problems that are sensitive to over-extraction. While human strategies for overcoming common-pool resource dilemmas are well studied, the comparative evolutionary perspective has received little attention. Here, we compare resource management of chimpanzees (N = 15) grouped as dyads and quartets using an original experimental paradigm. The participants could use sticks to feed from a pool of yoghurt. The number of sticks equalled the number of players, and removing all of the sticks triggered resource collapse, thereby creating a social dilemma. Quartets were found to maintain the resource longer than dyads. Quartets', but not dyads', success was positively associated with social tolerance. Furthermore, quartets were more successful when the dominant ape acquired the relative lowest payoff. These results suggest that chimpanzees respond differently to cooperative sustainability problems depending on group size, with social tolerance playing an important role. The findings have implications for studying the evolution and diversity of hominid cooperation, in particular, highlighting that group size should be carefully considered in the design of non-human primate cooperation experiments.

Deciding whether, when, and which information to sample is critical for making effective decisions, yet the cognitive mechanisms of this process are not well understood. Here, we propose that key aspects of human information demand are explained by non-linear subjective perceptions of probabilistic losses or gains. Using behavioral testing and quantitative model comparisons across three independent participant samples (N = 50, 50, and 150), we show that a model that incorporates non-linear probability and value perception outperforms a model based on a linear mixture of motives in explaining instrumental and non-instrumental information demand. Moreover, individual non-linearities that best explained information demand were correlated with personality traits and with non-linearities explaining risk seeking/aversion in standard choice tasks. The results suggest that a computational framework rooted in the subjective perception of probability furthers our understanding of information demand and its relationship with decision making under risk and uncertainty.

Decision scientists have grown increasingly interested in how people adaptively control their decision making, exploring how metacognitive factors influence how people accumulate evidence and commit to a choice. A recent study proposed a novel form of such adaptive control, whereby the values of one's options  contribute to both the formation of a decision and the effortful invigoration of a response. In this framework, the control process was operationalized in a drift diffusion model as the lowering of the decision threshold on difficult trials. Reanalyzing the data from this experiment, we establish alternative explanations for these findings. We show that the reported evidence for controlled threshold adjustments can be explained away by task confounds, time-dependent collapses in decision thresholds, and stimulus-driven dynamics in an alternative form of evidence accumulation. Our findings challenge the specific evidence for this new theory of motivated control while at the same time revealing paths and pitfalls in computational approaches to a more general understanding when and how control guides decision-making.

With the increasing accessibility of large language models to the public, questions arise about whether, and under what conditions, social-emotional interactions with artificial intelligence (AI) can lead to human-like relationship building. Across two double-blind randomised controlled studies with pre-registered analyses, 492 participants engaged in dyadic online interactions using a modified, text-based version of the 'Fast Friends Procedure' (a method designed to enable rapid relationship building), with pre-generated responses by either human partners or a minimally prompted large language model. When labelled as human, the AI outperformed human partners in establishing feelings of closeness during emotionally engaging 'deep-talk' interactions. This striking effect appears to stem from the AI's higher levels of self-disclosure, which in turn enhanced participants' perceptions of closeness. Labelling the partner as an AI reduced, but did not eliminate, relationship building, likely due to participants' lower motivation to engage in interactions with an AI, reflected in both shorter responses and reduced feelings of closeness. These findings highlight AI's potential to relieve overburdened social fields while underscoring the urgent need for ethical safeguards to prevent its misuse in fostering deceptive social connections.

It has been thought that coordination of briefly maintained information (working memory) and social cognition (mentalizing) rely on different brain mechanisms. However, the dorsomedial prefrontal cortex (DMPFC) seems to control the mentalizing and the visual working memory networks. We aimed to show (1) that visual working memory and social cognition share the same neural communication mechanism (i.e., interregional phase-amplitude coupling) and (2) that this mechanism is behaviorally relevant. We analyzed electrical brain activity from 98 volunteers who differed in the extent of (subclinical) autistic personality traits. Participants performed a social, visual and verbal working memory task, each implemented in a low and a high cognitive load version. We analyzed how slow rhythmical brain activity in the DMPFC controls distributed posterior regions associated with working memory and mentalizing via phase-amplitude coupling. First, individuals with low autistic personality traits use slow rhythmical brain activity in the DMPFC to precisely tune communication with posterior brain areas depending on the effort necessary in the visual and social tasks. Second, individuals with high autistic personality traits struggle in fine-tuning this mechanism, which is associated with difficulties in efficiently adapting brain activity to the difficulty level of a visual working memory task; and they demonstrate problems with efficiently synchronizing the relevant cortical network in a social cognition task. While these findings suggest a unified function of brain oscillations in cognitive coordination between social and visual tasks, they could also explain why individuals with high autistic personality traits can have difficulties with demanding cognitive processing and mentalizing.

As we age, our movements become slower and less precise-but the extent of this decline remains unclear. To address this, we harmonized data from 2390 participants across four published studies using a standard center-out reaching task. We found that older age was associated with a steady decline in reaction time (-1.3 ms/year), movement time (-4.3 ms/year), and movement precision (-0.04°/year). Although the rate of decline did not differ by sex/gender, females consistently reacted more slowly (-6.4 ms), moved more slowly (-44.6 ms), and exhibited greater precision ( + 0.6°) across the adult lifespan. Using the dataset that included experiential measures, we found that sex/gender differences were markedly reduced once factors, such as video game use, daily computer usage, and daily sleep, were taken into account, whereas age remained a consistent predictor of motor decline. Together, these findings provide a large-scale examination of age, sex/gender, and experiential effects on motor control, offering a normative benchmark to inform future clinical interventions aimed at preserving motor function across the lifespan.

Our interactions with objects involve processing a range of object-associated features to assess whether an object can fulfill our intentions. For human-made manipulable objects, these features mainly encompass three interconnected types of knowledge: visual appearance, manner of manipulation, and functional purpose. We investigated these components by breaking them down into their features and exploring how each type of object-related information is processed. Using a release-from-adaptation paradigm - we tested vision, manipulation, and function in three behavioral experiments (21, 20, and 22 participants) and three fMRI experiments (20 participants each) - to explore whether the similarity between objects within each knowledge type impacts behavioral and neural responses while controlling for the other knowledge types. Our findings suggest that an object's visual, functional, and manipulation properties are processed independently in distinct brain areas, including the fusiform gyrus and collateral sulcus, the lateral occipitotemporal cortex, and regions within the dorsal stream. Moreover, object similarity shapes how information is organized within each knowledge type and affects the ability to detect changes between objects. Importantly, the brain may follow a strategy of breaking down the incoming sensory stimulus into different knowledge types and properties in the process of building bottom-up representations that can then serve object recognition. Nevertheless, interacting with objects requires integrating these knowledge types, with our data suggesting that the medial fusiform gyrus and collateral sulcus might be important candidates for this integration. Once integrated, information may be transmitted to parietal and frontal areas to achieve a successful interaction with the object.

Costly punishment is thought to be a key mechanism sustaining human cooperation. However, the motives for punitive behaviour remain unclear. Although often assumed to be motivated by a desire to convert cheats into cooperators, punishment is also consistent with other functions, such as levelling payoffs or improving one's relative position. We used six economic games to tease apart different motives for punishment and to explore whether different punishment strategies were associated with personality variables, political ideology, and religiosity. We used representative samples from the United Kingdom and the United States (N = 2010) to estimate the frequency of different punishment strategies in the population. The most common strategy was to never punish. For people who did punish, strategy use was more consistent with egalitarian motives than behaviour-change motives. Nevertheless, different punishment strategies were also associated with personality, social preferences, political ideology, and religiosity. Self-reports of behaviour in the games suggested that people have some insight into their punishment strategy. These findings highlight the multipurpose nature of human punishment and show how the different motives underpinning punishment decisions are linked with core character traits.