Normative ratings for 111 Swedish nouns and corresponding picture stimuli

Normative ratings are a means to control for the effects of confounding variables in psycholinguistic experiments. This paper introduces a new dataset of normative ratings for Swedish encompassing 111 concrete nouns and the corresponding picture stimuli in the MultiPic database (Duñabeitia et al. 2017). The norms for name agreement, category typicality, age of acquisition and subjective frequency were collected using online surveys among native speakers of the Finland-Swedish variety of Swedish. The paper discusses the inter-correlations between these variables and compares them against available ratings for other languages. In doing so, the paper argues that ratings for age of acquisition and subjective frequency collected for other languages may be applied to psycholinguistic studies on Finland-Swedish, at least with respect to concrete and highly imageable nouns. In contrast, norms for name agreement should be collected from speakers of the same language variety as represented by the subjects in the actual experiments.

Large Gatherings? No, Thank You. Devaluation of Crowded Social Scenes During the COVID-19 Pandemic

In most European countries, the first wave of the COVID-19 pandemic (spring 2020) led to the imposition of physical distancing rules, resulting in a drastic and sudden reduction of real-life social interactions. Even people not directly affected by the virus itself were impacted in their physical and/or mental health, as well as in their financial security, by governmental lockdown measures. We investigated whether the combination of these events had changed people's appraisal of social scenes by testing 241 participants recruited mainly in Italy, Austria, and Germany in an online, preregistered study conducted about 50 days after the beginning of the COVID-19 outbreak in Europe. Images depicting individuals alone, in small groups (up to four people), and in large groups (more than seven people) were rated in terms of valence, arousal, and perceived physical distance. Pre-pandemic normative ratings were obtained from a validated database (OASIS). Several self-report measures were also taken, and condensed into four factors through factor analysis. All images were rated as more arousing compared to the pre-pandemic period, and the greater the decrease in real-life physical interactions reported by participants, the higher the ratings of arousal. As expected, only images depicting large gatherings of people were rated less positively during, compared to before, the pandemic. These ratings of valence were, however, moderated by a factor that included participants' number of days in isolation, relationship closeness, and perceived COVID-19 threat. Higher scores on this factor were associated with more positive ratings of images of individuals alone and in small groups, suggesting an increased appreciation of safer social situations, such as intimate and small-group contacts. The same factor was inversely related to the perceived physical distance between individuals in images of small and large groups, suggesting an impact of lockdown measures and contagion-related worries on the representation of interpersonal space. These findings point to rapid and compelling psychological and social consequences of the lockdown measures imposed during the COVID-19 pandemic on the perception of social groups. Further studies should assess the long-term impact of such events as typical everyday life is restored.

Development and validation of the Mental-Physical Verb Norms (MPVN): A Text Analysis Measure of Mental State Attribution

Attribution of mental states to self and others, i.e., mentalizing, is central to human life. Current measures are lacking in ability to directly gauge the extent of individuals engage in spontaneous mentalizing. Focusing on natural language use as an expression of inner psychological processes, we developed the Mental-Physical Verb Norms (MPVN). These norms are participant-derived ratings of the extent to which common verbs reflect mental (opposite physical) activities and occurrences, covering ~80% of all verbs appearing within a given English text. Content validity was assessed against existing expert-compiled dictionaries of mental states and cognitive processes, as well as against normative ratings of verb concreteness. Criterion Validity was assessed through natural text analysis of internet comments relating to mental health vs. physical health. Results showcase the unique contribution of the MPVN ratings as a measure of the degree to which individuals adopt the intentional stance in describing targets, by describing both self and others in mental, opposite physical terms. We discuss potential uses for future research across various psychological and neurocognitive disciplines.

Large gatherings? No, thank you. Devaluation of crowded social scenes during the COVID-19 pandemic

In most European countries, the first wave of the COVID-19 pandemic (spring 2020) led to the imposition of physical distancing rules, resulting in a drastic and sudden reduction of real-life social interactions. Even people not directly affected by the virus itself were impacted in their physical and/or mental health, as well as in their financial security, by governmental lockdown measures. We investigated if the combination of these events had changed people’s appraisal of social scenes by testing 241 participants recruited mainly in Italy, Austria, and Germany in an online, pre-registered study conducted about 50 days after the beginning of the COVID-19 outbreak in Europe. Images depicting individuals alone, in small groups (up to four people) and in large groups (more than seven people) were rated in terms of valence, arousal, and perceived physical distance. Pre-pandemic normative ratings were obtained from a validated database (Kurdi et al., 2017). Several self-report measures were also taken, and condensed into four factors through factor analysis. All images were rated as more arousing compared to the pre-pandemic period, and the greater the decrease in real-life physical interactions reported by participants, the higher the ratings of arousal. As expected, only images depicting large gatherings of people were rated less positively during, compared to before, the pandemic. These ratings of valence were however moderated by a factor that included participants’ number of days in isolation, relationship closeness, and perceived COVID-19 threat. Higher scores on this factor were associated with more positive ratings of images of individuals alone and in small groups, suggesting an increased appreciation of safer social situations, such as intimate and small-group contacts. The same factor was inversely related to the perceived physical distance between individuals in images of small and large groups, suggesting an impact of lockdown measures and contagion-related worries on the representation of interpersonal space. These findings point to rapid and compelling psychological and social consequences of the lockdown measures imposed during the COVID-19 pandemic on the perception of social groups. Further studies should assess the long-term impact of such events as typical everyday life is restored.

Americans’ views of scientists’ motivations for scientific work

Scholars have not examined public views of scientific motivations directly, despite scientific authority implications. A US representative sample rated 11 motivations both descriptively (they do motivate scientists’ work) and normatively (they should motivate scientists) for scientists employed by federal government agency, large business corporation, advocacy group (nonprofit seeking to influence policy), or university. Descriptive and normative ratings fell into extrinsic (money, fame, power, being liked, helping employer) and intrinsic (do good science, enjoy challenge, helping society and others) motivation factors; being independent and gaining respect were outliers. People saw intrinsic motivations as more common, but wanted intrinsic motivations to dominate extrinsic ones even more. Despite a few differences for extrinsic-motivation ratings, the lay public tended to see scientific work as similarly motivated regardless of the employer. Variance in perceived science motivations was explained by scientific beliefs (positivism, credibility) and knowledge (of facts and scientific reasoning), complemented by political ideology and religiosity.

The EmojiGrid as a Tool to Assess Experienced and Perceived Emotions

In a recent study on food-evoked emotions, we observed that people often misunderstood the currently available affective self-report tools. We, therefore, developed a new intuitive and language-independent self-report instrument called the EmojiGrid: a rectangular response grid labeled with facial icons (emoji) that express different degrees of valence and arousal. We found that participants intuitively and reliably reported their affective appraisal of food by clicking on the EmojiGrid, even without verbal instructions. In this study, we investigated whether the EmojiGrid can also serve as a tool to assess one’s own (experienced) emotions and perceived emotions of others. In the first experiment, participants (N = 90) used the EmojiGrid to report their own emotions, evoked by affective images from a database with corresponding normative ratings (obtained with a 9-point self-assessment mannikin scale). In the second experiment, participants (N = 61) used the EmojiGrid to report the perceived emotional state of persons shown in different affective situations, in pictures from a database with corresponding normative ratings (obtained with a 7-point Likert scale). For both experiments, the affective (valence and arousal) ratings obtained with the EmojiGrid show excellent agreement with the data provided in the literature (intraclass correlations of at least 0.90). Also, the relation between valence and arousal shows the classic U-shape at the group level. Thus, the EmojiGrid appears to be a useful graphical self-report instrument for the assessment of evoked and perceived emotions.

Evaluative Influences of CS-US Pairings Are Non-Reciprocal

Three experiments examined the reciprocity of evaluative effects following CS-US pairing. In all three experiments, CS evaluations were assimilated to the valence of the US they were paired with (i.e., an evaluative conditioning effect), whereas US evaluations became less extreme (i.e., a US devaluation effect). Of importance, however, US devaluation proved to be independent of CS-US pairing. Experiment 1 replicated previous evidence for US devaluation: USs were less intensely evaluated after a conditioning procedure as compared to their normative ratings. Experiment 2 controlled for the effect of CS-US pairing: A US devaluation effect of similar magnitude was observed for USs paired with the CSs or presented alone during the conditioning procedure. Experiment 3 indicated that US habituation drives US devaluation: USs presented and evaluated only once were less devalued than USs paired with CSs or USs presented alone during the conditioning procedure, with the latter two US types not differing from each other. Together, these findings suggest that US devaluation is driven by US habituation rather than by a CS-to-US influence in an associative learning procedure. The theoretical implications of these findings for associative and propositional accounts of evaluative learning are discussed.

The Complex Affective Scene Set (COMPASS): Solving the Social Content Problem in Affective Visual Stimulus Sets

Social information, including faces and human bodies, holds special status in visual perception generally, and in visual processing of complex arrays such as real-world scenes specifically. To date, unbalanced representation of social compared with nonsocial information in affective stimulus sets has limited the clear determination of effects as attributable to, or independent of, social content. We present the Complex Affective Scene Set (COMPASS), a set of 150 social and 150 nonsocial naturalistic affective scenes that are balanced across valence and arousal dimensions. Participants (n = 847) rated valence and arousal for each scene. The normative ratings for the 300 images together, and separately by social content, show the canonical boomerang shape that confirms coverage of much of the affective circumplex. COMPASS adds uniquely to existing visual stimulus sets by balancing social content across affect dimensions, thereby eliminating a potentially major confound across affect categories (i.e., combinations of valence and arousal). The robust special status of social information persisted even after balancing of affect categories and was observed in slower rating response times for social versus nonsocial stimuli. The COMPASS images also match the complexity of real-world environments by incorporating stimulus competition within each scene. Together, these attributes facilitate the use of the stimulus set in particular for disambiguating the effects of affect and social content for a range of research questions and populations.

Turkish Emotional Word Norms for Arousal, Valence, and Discrete Emotion Categories

The present study combined dimensional and categorical approaches to emotion to develop normative ratings for a large set of Turkish words on two major dimensions of emotion: arousal and valence, as well as on five basic emotion categories of happiness, sadness, anger, fear, and disgust. A set of 2031 Turkish words obtained by translating Affective Norms for English Words to Turkish and pooling from the Turkish Word Norms were rated by a large sample of 1527 participants. This is the first comprehensive and standardized word set in Turkish offering discrete emotional ratings in addition to dimensional ratings along with concreteness judgments. Consistent with Affective Norms for English Words and word databases in several other languages, arousal increased as valence became more positive or more negative. As expected, negative emotions (anger, sadness, fear, and disgust) were positively correlated with each other, whereas the positive emotion, happiness, was negatively correlated with the negative emotion categories. Data further showed that the valence dimension was strongly correlated with happiness, and the arousal dimension was mostly correlated with fear. These findings show highly similar and consistent patterns with word sets provided in other languages in terms of the relationships between arousal and valence dimensions, relationships between dimensions and specific emotion categories, relationships among specific emotions, and further support the stability of the relationship between basic discrete emotions at the word level across different cultures.