The finding that human decision-making is systematically biased continues to have an immense impact on both research and policymaking. Prevailing views ascribe biases to limited computational resources, which require humans to resort to less costly resource-rational heuristics. Here, we propose that many biases in fact arise due to a computationally costly way of coping with uncertainty—namely, hierarchical inference—which by nature incorporates information that can seem irrelevant. We show how, in uncertain situations, Bayesian inference may avail of the environment’s hierarchical structure to reduce uncertainty at the cost of introducing bias. We illustrate how this account can explain a range of familiar biases, focusing in detail on the halo effect and on the neglect of base rates. In each case, we show how a hierarchical-inference account takes the characterization of a bias beyond phenomenological description by revealing the computations and assumptions it might reflect. Furthermore, we highlight new predictions entailed by our account concerning factors that could mitigate or exacerbate bias, some of which have already garnered empirical support. We conclude that a hierarchical inference account may inform scientists and policy makers with a richer understanding of the adaptive and maladaptive aspects of human decision-making.

Throughout the lifespan and across cultures, all human behavior happens in space. By early childhood, people are capable of navigating complex 3D environments, executing sophisticated motor plans, and coordinating action with others. They also use their representations of space to structure a variety of non-spatial concepts, including time, number, similarity, and emotion. How do people perform these cognitive feats? One source of insight comes from studying the diversity of spatial cognition: Although the physical properties of space are invariant, the way people typically conceptualize space varies radically across groups, between individuals, and over development. By studying this variation in spatial cognition, we can better understand the universal set of cognitive and neural mechanisms that underlie it, with implications for the cognitive sciences, education, and design.

Why do readers typically fixate near the center of a word, with a bias towards word onset? Alhama, Siegelman, Frost, & Armstrong (2019) proposed an account based on (1) perceptual constraints that reduce the likelihood of perceiving a letter the further it is from the fixated location, and (2) the information available from the perceived letters for identifying the word. We expand this work to predict the fixation location distributions of 7-letter words for 43 languages from 9 language families. We found that in the majority of the languages, words were most likely to be correctly recognized when fixating near the center, slightly toward onset. However, there were deviations from this trend, such as predicting more accurate recognition when fixating slightly towards offset in Slavic languages. Our results provide novel predictions for experimental work that considers a flexible language system that optimizes initial fixations based on information theory constraints.

Failing to understand others accurately can be extremely costly. Unfortunately, events such as strokes can lead to a decline in emotional understanding. Such impairments have been documented in stroke patients and are widely hypothesized to be related to right-hemisphere lesions, as well as to the amygdala, and are thought to be driven in part by attentional biases, for example, less fixation on the eyes. Notably, most of the previous research relied on measurements of emotional understanding from simplified cues, such as facial expressions or prosody. We hypothesize that chronic damage to the left hemisphere could hinder empathic accuracy and emotion recognition in naturalistic social settings that require complex language comprehension, even after a patient regains core language capacities. To assess this notion, we use an empathic accuracy task and eye-tracking measurements with chronic stroke patients with either right (N = 13) or left (N = 11) hemispheric damage—together with aged-matched controls (N = 15)—to explore the patients’ understanding of others’ affect inferred from stimuli that separates audio and visual cues. While we find that patients with right-hemisphere lesions showed visual attention bias compared to the other two groups, we uncover a disadvantage for patients with left-hemisphere lesions in empathic accuracy, especially when only auditory cues are present. These results suggest that patients with left-hemisphere damage have long-lasting difficulties comprehending real-world complex emotional situations.

The coronavirus pandemic has fundamentally shifted the way human beings interact, both as individuals and groups, in the face of such a widespread outbreak. This paper seeks to investigate the effects of COVID-19 on intergroup emotions and attitudes within an intractable intergroup conflict, specifically, through the lens of the Korean conflict. Using a two-wave, cross-sectional design, this study was able to track the profound psychological changes in intergroup emotions and attitudes both prior to the pandemic and during its onslaught. Results of these two wave representative samples show that South Korean citizens demonstrated higher levels of fear of their neighbors in North Korea after the outbreak of COVID-19 than before. In turn, this led to increased societal support of hostile government policies towards North Koreans. Conversely, the same participants exhibited higher levels of empathy towards North Koreans during the pandemic, which led to a higher willingness to collaborate with their outgroup. This dual effect on intergroup emotions within intractable conflicts brings forth new avenues from which societies may be able to restrain the destructive influence of the COVID-19 threat on intergroup relations — as well as harvesting its constructive potential for reconciling warring intergroup relations.

There is increasing evidence for the effectiveness of behavioral techniques in managing tics in youth with Tourette syndrome and tics disorders (TDs). One such intervention is Comprehensive Behavioral Intervention for Tics (CBIT), which focuses on reducing tic severity by training control and regulation. In view of the regulation deficits characteristic to TDs, in the current study, we aimed to explore the contribution of CBIT beyond tic control, to a wider expression of regulation abilities—cognitive inhibition and emotion regulation. A total of 55 participants with TDs, aged 8–15, who were randomly assigned to group-CBIT or group-Educational Intervention for Tics, were compared on cognitive inhibition tests and use of emotion-regulation strategies, pre- and post-intervention. Whereas on none of the scales a significant interaction effect was found reflecting superiority of CBIT over EIT, repeated measures ANOVA revealed a significant time effect, with post hoc analyses indicating that cognitive inhibition and cognitive reappraisal significantly increased following CBIT intervention only. Within the group-CBIT, the increase in cognitive reappraisal was associated with higher intellectual ability. These findings may lead to a broader understanding of CBIT contribution to more than tic control, but rather to better cognitive and emotional regulation abilities.

While the languages of the world differ in many respects, they share certain commonalties, which can provide insight on our shared cognition. Here, we explore the learnability consequences of one of the striking commonalities between languages. Across languages, word frequencies follow a Zipfian distribution, showing a power law relation between a word's frequency and its rank. While their source in language has been studied extensively, less work has explored the learnability consequences of such distributions for language learners. We propose that the greater predictability of words in this distribution (relative to less skewed distributions) can facilitate word segmentation, a crucial aspect of early language acquisition. To explore this, we quantify word predictability using unigram entropy, assess it across languages using naturalistic corpora of child-directed speech and then ask whether similar unigram predictability facilitates word segmentation in the lab. We find similar unigram entropy in child-directed speech across 15 languages. We then use an auditory word segmentation task to show that the unigram predictability levels found in natural language are uniquely facilitative for word segmentation for both children and adults. These findings illustrate the facilitative impact of skewed input distributions on learning and raise questions about the possible role of cognitive pressures in the prevalence of Zipfian distributions in language.

Purpose: To identify factors responsible for variation in health among married individuals, we investigated the independent associations of gaps in spousal age and education (or “heterogamy”) with all-cause and cause-specific mortality as well as with survival of cancer patients.

Methods: Using over 4 decades of follow-up data on 36,717 couples from Jerusalem (1964-2016), we compared heterogamous with homogamous couples.

Results: Having a less educated spouse was associated with an increased risk for several outcomes in both genders, such as all-cause mortality in males (hazard ratio (HR)=1.18, confidence interval (CI): 1.12, 1.25) and in females (HR=1.11, CI: 1.01, 1.22). Having a more educated spouse was associated with decreased all-cause mortality in males (HR=0.93, CI: 0.87, 0.99), but not in females. Having an older spouse was detrimental for health of both genders. For example, increased all-cause mortality was seen in men (HR=1.22, CI: 1.10, 1.34) and in women (HR=1.10, CI: 1.02, 1.19). A younger spouse was beneficial for some of the outcomes in males, such as decreased cancer-specific mortality (HR=0.88, CI: 0.78, 0.99), but not in females.

Conclusions: Spousal gaps in education and age may be independently associated with health outcomes. The observed relationships may be driven by combined amounts of marital strain as well as shared spousal resources (such as knowledge or income) depending on gender.

Background and objectives

This study examined whether ritualistic behaviors characteristic of obsessive-compulsive disorder (OCD) are a product of dysfunctional goal-directed behavior leading to habitual behavior (Gillan & Robbins, 2014). We used an explicit motor sequence learning task to investigate the repetition of chunked action sequences across the OC spectrum. As sequential motor behavior is practiced, action movements appear to get bundled together, and the initial movement of the sequence activates the entire sequence, leaving it relatively insensitive to change. Therefore, compulsive behavior in OCD may be a result of failing to inhibit the full activation of an extensively learned action sequence. Methods: Fifty-seven participants across the range of OCD symptoms practiced one sequence and then tested on a novel sequence in which one of the middle movements was omitted. Optimal performance for the new sequence required goal-directed inhibition of the original sequence and goal-directed execution of the new sequence instead. To manipulate activation of goal-directed behavior, we added a dual-task condition with a competing auditory tonal N-Back task. Data were analyzed using mixed-effects models. Results: Although we did observe expected learning patterns during learning of the original sequence, slower reaction times for the new sequences, and higher errors in the dual-task condition, performance was not significantly related to either obsessive-compulsive symptoms or distress symptoms. Limitations: The current study used an analog sample; replication in a treatment seeking sample is warranted. Conclusions: These findings challenge the goal-directed dysfunction model of OCD.

Research conducted on emotionality in bilinguals suggests that language use modulates emotional expression. The current study examines bilingual disadvantaged minority members’ emotional experience and expression as shaped by the group relations in a conflict area. We hypothesised that, in general, greater emotionality will be found in one’s native language. Moreover, since the second language is imposed and acquired in a negative context, there may be differential effects on negative and positive language. A novel ecological paradigm was used: Twenty-eight Palestinian citizens of Israel were videotaped while recounting emotional stories in both Arabic (L1) and Hebrew (L2), resulting in 212 videos. Two studies followed: In Study 1 we compared participants’ emotional ratings (1a) and analyzed the content of emotional expression (1b). In Study 2, American participants rated emotional expressiveness. In Study 1, an interaction effect was found between language and valence, with less positive emotions and expressions in L2. In Study 2, a general difference in expressiveness was found in favour of L1. These studies show an effect of power disparities on the emotional load of the second language, thus highlighting the emotional costs of using a second language acquired in a conflict area.