Background: Facial motion has been shown to enhance face recognition in typical recognisers and increase attention to diagnostic internal facial features (eyes, nose and mouth), which may support improved recognition. The present study aimed to replicate these effects and assess whether they extend to individuals with developmental prosopagnosia (DP), who show impairments in face recognition and reduced attention to the internal features. Methods: Participants completed a famous face recognition task (Experiment 1) and an unfamiliar old/new recognition task (Experiment 2), with both static and moving stimuli. Eye movements were recorded to assess visual attention. In each experiment, two analyses were conducted: a replication analysis in a neurotypical sample (Experiment 1: n = 49; Experiment 2: n = 51), and a separate comparison of 14 individuals with DP with a subset of 16 age-matched controls. Results: Across both experiments, recognition accuracy was higher for moving than static faces in both the control and DP samples, and participants directed a greater proportion of visual attention to internal facial features when faces were presented in motion. However, compared to age-matched controls, individuals with DP showed differences in the allocation of attention to the internal facial features. Conclusions: The findings replicate evidence that facial motion enhances recognition and increases attention to the internal facial features in typical recognisers and extend these effects to individuals with DP. Although individuals with DP benefit from motion, differences in the distribution of attention across internal features remain, suggesting that motion alters but does not normalise face-scanning strategies.

Background/Objectives: Eye movements provide important insights into face processing. Hidden Markov models of eye movements (EMHMMs) are a relatively new approach that identifies common patterns across observers, moving beyond region-of-interest analyses. Prior EMHMM studies with static faces have typically revealed two strategies: a central “holistic” style and a feature-based “analytical” style. However, it is unknown whether such patterns extend to dynamic faces, which more closely reflect real-world viewing. This study is the first to apply EMHMMs to dynamic face recognition. Methods: Participants completed a face learning task in which half of the identities were presented as static images and half as dynamic videos. Eye movements were analysed using EMHMMs during both learning and recognition phases. Results: Two consistent patterns emerged across conditions: Central-focused and Eye-focused. A small subgroup displayed a third, central-plus-right-eye pattern when learning static faces. Eye movement patterns were largely stable across static and dynamic conditions, with only 16–27% of participants switching between them. Patterns were generally unrelated to recognition accuracy; however, participants adopting Eye-focused patterns during static learning performed better on static recognition. Conclusions: EMHMM-identified patterns generalise from static to dynamic faces, indicating strong stability in face-viewing behaviour across stimulus types. This finding contrasts with previous region-of-interest analyses suggesting greater differences between static and dynamic faces. By extending EMHMMs to dynamic faces, this study underscores the value of diverse analytical approaches for capturing eye movement behaviour and advancing understanding in face processing.

Ideal partner preferences (i.e., ratings of the desirability of attributes like attractiveness or intelligence) are the source of numerous foundational findings in the interdisciplinary literature on human mating. Recently, research on the predictive validity of ideal partner preference matching (i.e., Do people positively evaluate partners who match vs. mismatch their ideals?) has become mired in several problems. First, articles exhibit discrepant analytic and reporting practices. Second, different findings emerge across laboratories worldwide, perhaps because they sample different relationship contexts and/or populations. This registered report-partnered with the Psychological Science Accelerator-uses a highly powered design (N = 10,358) across 43 countries and 22 languages to estimate preference-matching effect sizes. The most rigorous tests revealed significant preference-matching effects in the whole sample and for partnered and single participants separately. The "corrected pattern metric" that collapses across 35 traits revealed a zero-order effect of β = .19 and an effect of β = .11 when included alongside a normative preference-matching metric. Specific traits in the "level metric" (interaction) tests revealed very small (average β = .04) effects. Effect sizes were similar for partnered participants who reported ideals before entering a relationship, and there was no consistent evidence that individual differences moderated any effects. Comparisons between stated and revealed preferences shed light on gender differences and similarities: For attractiveness, men's and (especially) women's stated preferences underestimated revealed preferences (i.e., they thought attractiveness was less important than it actually was). For earning potential, men's stated preferences underestimated-and women's stated preferences overestimated-revealed preferences. Implications for the literature on human mating are discussed. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Seeing a face in motion can help subsequent face recognition. Several explanations have been proposed for this “motion advantage,” but other factors that might play a role have received less attention. For example, facial movement might enhance recognition by attracting attention to the internal facial features, thereby facilitating identification. However, there is no direct evidence that motion increases attention to regions of the face that facilitate identification (i.e., internal features) compared with static faces. We tested this hypothesis by recording participants’ eye movements while they completed the famous face recognition (Experiment 1, N = 32), and face-learning (Experiment 2, N = 60, Experiment 3, N = 68) tasks, with presentation style manipulated (moving or static). Across all three experiments, a motion advantage was found, and participants directed a higher proportion of fixations to the internal features (i.e., eyes, nose, and mouth) of moving faces versus static. Conversely, the proportion of fixations to the internal non-feature area (i.e., cheeks, forehead, chin) and external area (Experiment 3) was significantly reduced for moving compared with static faces (all ps < .05). Results suggest that during both familiar and unfamiliar face recognition, facial motion is associated with increased attention to internal facial features, but only during familiar face recognition is the magnitude of the motion advantage significantly related functionally to the proportion of fixations directed to the internal features.

TIME is a highly abstract concept and prevalent in languages worldwide. Cross-cultural and cross-linguistic research suggests that TIME is embodied dissimilarly in different languages. Still the literature has not received sufficient attention in examining the differences. This study aimed to identify and compare how TIME is metaphorically represented and embodied worldwide. We investigated 14 languages; Arabic, Assamese, Chinese, English, Finnish, French, German, Japanese, Kikuyu, Persian, Polish, Russian, Spanish, and Swedish, which represent nine language families. The metaphors were categorized conceptually as TIME IS AN ORGANISM, TIME IS MOTION, TIME IS SPACE, and TIME IS A VALUABLE COMMODITY. We employed a two-part paper-based task. The first part consisted of generation of metaphor items and the second part consisted of a valence rating task. The key variables considered were 'metaphor category' and 'language family' while controlling for demographic variables such as gender, age and handedness. Data from 513 participants were collected. Results showed a significant association between language categories and the valences of time metaphors. The data of this study suggest that within the languages of a certain category, there might be some similarity between the valences of words that are used to realize a given conceptual metaphor.

INTRODUCTION:Research indicates that both observed and imagined actions can be represented in the brain as two parallel sensorimotor representations. One proposal is that higher order cognitive processes would align these two hypothetical action simulations.METHODS:We investigated this hypothesis using an automatic imitation paradigm, with functional near-infrared spectroscopy recordings over the prefrontal cortex during different motor simulation states. On each trial, participants (n = 14) observed a picture of a rhythmical action (instructed action) followed by a distractor movie showing the same or different action. Participants then executed the instructed action. Distractor actions were manipulated to be fast or slow, and instructions were manipulated during distractor presentation: action observation (AO), combined action observation and motor imagery (AO+MI) and observe to imitate (intentional imitation). A pure motor imagery (MI) condition was also included.RESULTS:Kinematic analyses showed that although distractor speed effects were significant under all instructions (shorter mean cycle times in execution for fast compared to slow trials), this imitation bias was significantly stronger for combined AO+MI than both AO and MI, and stronger for intentional imitation than the other three automatic imitation conditions. In the left prefrontal cortex, cerebral oxygenation was significantly greater for combined AO+MI than all other instructions. Participants reported that their representation of the self overlapped with the observed model significantly more during AO+MI than AO.CONCLUSION:Left prefrontal activation may therefore be a neural signature of AO+MI, supporting attentional switching between concurrent representations of self (MI, top-down) and other (AO, bottom-up) to increase imitation and perceived closeness.

Following theories of emotional embodiment, the facial feedback hypothesis suggests that individuals' subjective experiences of emotion are influenced by their facial expressions. However, evidence for this hypothesis has been mixed. We thus formed a global adversarial collaboration and carried out a preregistered, multicentre study designed to specify and test the conditions that should most reliably produce facial feedback effects. Data from n = 3,878 participants spanning 19 countries indicated that a facial mimicry and voluntary facial action task could both amplify and initiate feelings of happiness. However, evidence of facial feedback effects was less conclusive when facial feedback was manipulated unobtrusively via a pen-in-mouth task.

The accurate recognition of emotion is important for interpersonal interaction and when navigating our social world. However, not all facial displays reflect the emotional experience currently being felt by the expresser. Indeed, faces express both genuine and posed displays of emotion. In this article, we summarize the importance of motion for the recognition of face identity before critically outlining the role of dynamic information in determining facial expressions and distinguishing between genuine and posed expressions of emotion. We propose that both dynamic information and face familiarity may modulate our ability to determine whether an expression is genuine or not. Finally, we consider the shared role for dynamic information across different face recognition tasks and the wider impact of face familiarity on determining genuine from posed expressions during real-world interactions.

The accurate recognition of emotion is important for interpersonal interaction and when navigating our social world. However, not all facial displays reflect the emotional experience currently being felt by the expresser. Indeed, faces express both genuine and posed displays of emotion. In this article, we summarize the importance of motion for the recognition of face identity before critically outlining the role of dynamic information in determining facial expressions and distinguishing between genuine and posed expressions of emotion. We propose that both dynamic information and face familiarity may modulate our ability to determine whether an expression is genuine or not. Finally, we consider the shared role for dynamic information across different face recognition tasks and the wider impact of face familiarity on determining genuine from posed expressions during real-world interactions.

Spontaneous rhythmical movements, like foot-tapping and head-bobbing, often emerge when people listen to music, promoting the enjoyable sensation of 'being in the groove'. Here we report the first experiment to investigate if seeing the music maker modulates this experience. Across trials we manipulated groove level in the audio beats (high vs low), and manipulated the match between the audio beats and a concurrently observed point-light display (PLD) of the drummer. The visual display was either fully corresponding with the audio beats, or incompatible across three conditions: a static PLD, a corresponding but asynchronous PLD (0.5s time shifted); or a non-corresponding PLD (e.g. high groove audio paired with low groove PLD). Participants (n = 36) rated: (a) their desire to move; and (b) their perceived groove, purely in response to the audio beats, using 8-point Likert scales. The main effects of groove level and visual display were significant in both measurements. Ratings increased for high compared to low groove audio overall, and for the fully corresponding condition compared to the other visual conditions. Ratings of the desire to move also increased in the static compared to the non-corresponding condition, and the two-way interaction was significant. Desire to move significantly increased for high compared to low groove audio in the fully corresponding, static and asynchronous conditions, while this effect was absent in the non-corresponding condition. These findings identify the importance of seeing as well as hearing the musician for an enhanced experience of groove, which necessitates a multimodal account of music perception.

The valence-space metaphor posits that emotion concepts map onto vertical space such that positive concepts are in upper locations and negative in lower locations. Whilst previous studies have demonstrated this pattern for positive and negative emotions e.g. 'joy' and 'sadness', the spatial location of neutral emotions, e.g. 'surprise', has not been investigated, and little is known about the effect of linguistic background. In this study, we first characterised the emotions joy, surprise and sadness via ratings of their concreteness, imageability, context availability and valence before examining the allocation of these emotions in vertical space. Participants from six linguistic groups completed either a rating task used to characterise the emotions or a word allocation task to implicitly assess where these emotions are positioned in vertical space. Our findings suggest that, across languages, gender, handedness, and ages, positive emotions are located in upper spatial locations and negative emotions in lower spatial locations. In addition, we found that the neutral emotional valence of surprise is reflected in this emotion being mapped mid-way between upper and lower locations onto the vertical plane. This novel finding indicates that the location of a concept on the vertical plane mimics the concept's degree of emotional valence.

Seeing a face move can improve familiar face recognition, face matching, and learning. More specifically, familiarity with a face may facilitate the learning of an individual's “dynamic facial signature”. In the outlined research we examine the relationship between participant ratings of familiarity, the distinctiveness of motion, the amount of facial motion, and the recognition of familiar moving faces (Experiment 1) as well as the magnitude of the motion advantage (Experiment 2). Significant positive correlations were found between all factors. Findings suggest that faces rated as moving a lot and in a distinctive manner benefited the most from being seen in motion. Additionally findings indicate that facial motion information becomes a more important cue to recognition the more familiar a face is, suggesting that “dynamic facial signatures” continue to be learnt over time and integrated within the face representation. Results are discussed in relation to theoretical explanations of the moving face advantage.

Previous work has found faster and more accurate recognition of faces learned from moving sequences than from static images. However, it is unclear whether the motion advantage can be generalized to other-race face learning. In two experiments, we examined the motion advantage for same-race and other-race faces in the context of a delayed visual search task and investigated the importance of face repetitions and clip length at learning. Participants learned faces as a static image or a moving clip and then searched for these target faces in visual arrays. Same-race target faces were located faster and more accurately than other-race targets. A dynamic search advantage was revealed for both same-race and other-race faces, whereby search latencies were shorter, and accuracy higher, for faces learned in motion. Furthermore, differing clip lengths and face repetitions during familiarization yielded the same dynamic advantage (Experiment 2), suggesting that motion provides a robust and valuable cue for the identification of both same-race and other-race faces.