Estimating valence from the sound of a word: Computational,experimental, and cross-linguistic evidence

It is assumed linguistic symbols must be grounded in perceptual information to attain meaning, because the sound of a word in a language has an arbitrary relation with its referent. This paper demonstrates that a strong arbitrariness claim should be reconsidered. In a computational study, we showed that one phonological feature (nasals in the beginning of a word) predicted negative valence in three European languages (English, Dutch, and German) and positive valence in Chinese. In three experiments, we tested whether participants used this feature in estimating the valence of a word. In Experiment 1, Chinese and Dutch participants rated the valence of written valence-neutral words, with Chinese participants rating the nasal-first neutral-valence words more positive and the Dutch participants rating nasal-first neutral-valence words more negative. In Experiment 2, Chinese (and Dutch) participants rated the valence of Dutch (and Chinese) written valence-neutral words without being able to understand the meaning of these words. The patterns replicated the valence patterns from Experiment 1. When the written words from Experiment 2 were transformed into spoken words, results in Experiment 3 again showed that participants estimated the valence of words on the basis of the sound of the word. The computational study and psycholinguistic experiments indicated that language users can bootstrap meaning from the sound of a word.     

Introduction to Bayesian Inference for Psychology

We introduce the fundamental tenets of Bayesian inference, which derive from two basic laws of probability theory. We cover the interpretation of probabilities, discrete and continuous versions of Bayes’ rule, parameter estimation, and model comparison. Using seven worked examples, we illustrate these principles and set up some of the technical background for the rest of this special issue of Psychonomic Bulletin & Review. Supplemental material is available via https://osf.io/wskex/.     

Bayesian inference for psychology,part III: Parameter estimation in nonstandard models

We demonstrate the use of three popular Bayesian software packages that enable researchers to estimate parameters in a broad class of models that are commonly used in psychological research. We focus on WinBUGS, JAGS, and Stan, and show how they can be interfaced from R and MATLAB. We illustrate the use of the packages through two fully worked examples; the examples involve a simple univariate linear regression and fitting a multinomial processing tree model to data from a classic false-memory experiment. We conclude with a comparison of the strengths and weaknesses of the packages. Our example code, data, and this text are available via https://osf.io/ucmaz/.     

The adaptation of the Affective Norms for English Words (ANEW) for Italian

We developed affective norms for 1,121 Italian words in order to provide researchers with a highly controlled tool for the study of verbal processing. This database was developed from translations of the 1,034 English words present in the Affective Norms for English Words (ANEW; Bradley & Lang, 1999) and from words taken from Italian semantic norms (Montefinese, Ambrosini, Fairfield, & Mammarella, Behavior Research Methods, 45, 440–461, 2013). Participants evaluated valence, arousal, and dominance using the Self-Assessment Manikin (SAM) in a Web survey procedure. Participants also provided evaluations of three subjective psycholinguistic indexes (familiarity, imageability, and concreteness), and five objective psycholinguistic indexes (e.g., word frequency) were also included in the resulting database in order to further characterize the Italian words. We obtained a typical quadratic relation between valence and arousal, in line with previous findings. We also tested the reliability of the present ANEW adaptation for Italian by comparing it to previous affective databases and performing split-half correlations for each variable. We found high split-half correlations within our sample and high correlations between our ratings and those of previous studies, confirming the validity of the adaptation of ANEW for Italian. This database of affective norms provides a tool for future research about the effects of emotion on human cognition.     

The influences of valence and arousal on judgments of learning and on recall

Much is known about how the emotional content of words affects memory for those words, but only recently have researchers begun to investigate whether emotional content influences metamemory—that is, learners’ assessments of what is or is not memorable. The present study replicated recent work demonstrating that judgments of learning (JOLs) do indeed reflect the superior memorability of words with emotional content. We further contrasted two hypotheses regarding this effect: a physiological account in which emotional words are judged to be more memorable because of their arousing properties, versus a cognitive account in which emotional words are judged to be more memorable because of their cognitive distinctiveness. Two results supported the latter account. First, both normed arousal (Exp. 1) and normed valence (Exp. 2) independently influenced JOLs, even though only an effect of arousal would be expected under a physiological account. Second, emotional content no longer influenced JOLs in a design (Exp. 3) that reduced the primary distinctiveness of emotional words by using a single list of words in which normed valence and arousal were varied continuously. These results suggest that the metamnemonic benefit of emotional words likely stems from cognitive factors.     

Norms of valence, arousal, dominance, and age of acquisition for 4,300 Dutch words

This article presents norms of valence/pleasantness, activity/arousal, power/dominance, and age of acquisition for 4,300 Dutch words, mainly nouns, adjectives, adverbs, and verbs. The norms are based on ratings with a 7-point Likert scale by independent groups of students from two Belgian (Ghent and Leuven) and two Dutch (Rotterdam and Leiden-Amsterdam) samples. For each variable, we obtained high split-half reliabilities within each sample and high correlations between samples. In addition, the valence ratings of a previous, more limited study (Hermans & De Houwer, Psychologica Belgica, 34:115-139, 1994) correlated highly with those of the present study. Therefore, the new norms are a valuable source of information for affective research in the Dutch language.     

Norms of valence and arousal for 14,031 Spanish words

Most current models of research on emotion recognize valence (how pleasant a stimulus is) and arousal (the level of activation or intensity that a stimulus elicits) as important components in the classification of affective experiences (Barrett, 1998; Kuppens, Tuerlinckx, Russell, & Barrett, 2012). Here we present a set of norms for valence and arousal for a very large set of Spanish words, including items from a variety of frequencies, semantic categories, and parts of speech, including a subset of conjugated verbs. In this regard, we found that there were significant but very small differences between the ratings for conjugations of the same verb, validating the practice of applying the ratings for infinitives to all derived forms of the verb. Our norms show a high degree of reliability and are strongly correlated with those of Redondo, Fraga, Padrón, and Comesaña’s (2007) Spanish version of the influential Affective Norms for English Words (Bradley & Lang, 1999), as well as those from Warriner, Kuperman, and Brysbaert (2013), the largest available set of emotional norms for English words. Additionally, we included measures of word prevalence—that is, the percentage of participants that knew a particular word—for each variable (Keuleers, Stevens, Mandera, & Brysbaert, 2015). Our large set of norms in Spanish not only will facilitate the creation of stimuli and the analysis of texts in that language, but also will be useful for cross-language comparisons and research on emotional aspects of bilingualism. The norms can be downloaded and available as a supplementary materials to this article.     

Norms of valence, arousal, and dominance for 13,915 English lemmas

Information about the affective meanings of words is used by researchers working on emotions and moods, word recognition and memory, and text-based sentiment analysis. Three components of emotions are traditionally distinguished: valence (the pleasantness of a stimulus), arousal (the intensity of emotion provoked by a stimulus), and dominance (the degree of control exerted by a stimulus). Thus far, nearly all research has been based on the ANEW norms collected by Bradley and Lang (1999) for 1,034 words. We extended that database to nearly 14,000 English lemmas, providing researchers with a much richer source of information, including gender, age, and educational differences in emotion norms. As an example of the new possibilities, we included stimuli from nearly all of the category norms (e.g., types of diseases, occupations, and taboo words) collected by Van Overschelde, Rawson, and Dunlosky (Journal of Memory and Language 50:289-335, 2004), making it possible to include affect in studies of semantic memory.     

Discrete emotion norms for nouns: Berlin affective word list (DENN–BAWL)

The Berlin Affective Word List (BAWL, Võ, Jacobs, &; Conrad, Behavior Research Methods, 35, 606-609, 2006) and the BAWL-R (Võ et al. in Behavior Research Methods 38, 606-609, 2009) are two commonly used lists to investigate affective properties of German words. The two-dimensional valence and arousal model of affect underlying the BAWL is traditionally contrasted with models describing affect in discrete emotional categories, which, however, are not currently incorporated in the BAWL. In order to allow future studies to investigate affective processing from both perspectives—or to directly compare them—in the present study, we collected data by assigning nouns taken from the BAWL-R to discrete emotion intensities, which in turn allowed the assignment to discrete emotion categories. In the study, we present Discrete Emotion Norms for Nouns–Berlin Affective Word List (DENN–BAWL). Using these ratings and the psycholinguistic indexes from the BAWL-R, the DENN–BAWL allows researchers to design experiments using highly controlled and reliable word material. Data have been archived at www.fu-berlin.de/allgpsy/DENN-BAWL     

A novel blink detection method based on pupillometry noise

Pupillometry (or the measurement of pupil size) is commonly used as an index of cognitive load and arousal. Pupil size data are recorded using eyetracking devices that provide an output containing pupil size at various points in time. During blinks the eyetracking device loses track of the pupil, resulting in missing values in the output file. The missing-sample time window is preceded and followed by a sharp change in the recorded pupil size, due to the opening and closing of the eyelids. This eyelid signal can create artificial effects if it is not removed from the data. Thus, accurate detection of the onset and the offset of blinks is necessary for pupil size analysis. Although there are several approaches to detecting and removing blinks from the data, most of these approaches do not remove the eyelid signal or can result in a relatively large amount of data loss. The present work suggests a novel blink detection algorithm based on the fluctuations that characterize pupil data. These fluctuations (“noise”) result from measurement error produced by the eyetracker device. Our algorithm finds the onset and offset of the blinks on the basis of this fluctuation pattern and its distinctiveness from the eyelid signal. By comparing our algorithm to three other common blink detection methods and to results from two independent human raters, we demonstrate the effectiveness of our algorithm in detecting blink onset and offset. The algorithm’s code and example files for processing multiple eye blinks are freely available for download (https://osf.io/jyz43).     

Adaptive memory: Is the animacy effect on memory due to emotional arousal?

Animate entities are often better remembered than inanimate ones. The proximal mechanisms underlying this animacy effect on recall are unclear. In two experiments, we tested whether the animacy effect is due to emotional arousal. Experiment 1 revealed that translations of the animate words used in the pioneering study of Nairne et al. (Psychological science, 24, 2099–2105, 2013) were perceived as being more arousing than translations of the inanimate words, suggesting that animacy might have been confounded with arousal in previous studies. In Experiment 2, new word lists were created in which the animate and inanimate words were matched on arousal (amongst several other dimensions), and participants were required to reproduce the animate and inanimate words in a free recall task. There was a tendency towards better memory for arousing items, but robust animacy effects were obtained even though animate and inanimate words were matched on arousal. Thus, while arousal may contribute to the animacy effect when it is not carefully controlled for, it cannot explain the memory advantage of animate items.     

Foreign accent strength and listener familiarity with an accent codetermine speed of perceptual adaptation

We investigated how the strength of a foreign accent and varying types of experience with foreign-accented speech influence the recognition of accented words. In Experiment 1, native Dutch listeners with limited or extensive prior experience with German-accented Dutch completed a cross-modal priming experiment with strongly, medium, and weakly accented words. Participants with limited experience were primed by the medium and weakly accented words, but not by the strongly accented words. Participants with extensive experience were primed by all accent types. In Experiments 2 and 3, Dutch listeners with limited experience listened to a short story before doing the cross-modal priming task. In Experiment 2, the story was spoken by the priming task speaker and either contained strongly accented words or did not. Strongly accented exposure led to immediate priming by novel strongly accented words, while exposure to the speaker without strongly accented tokens led to priming only in the experiment’s second half. In Experiment 3, listeners listened to the story with strongly accented words spoken by a different German-accented speaker. Listeners were primed by the strongly accented words, but again only in the experiment’s second half. Together, these results show that adaptation to foreign-accented speech is rapid but depends on accent strength and on listener familiarity with those strongly accented words.     

Introducing the Open Affective Standardized Image Set (OASIS)

We introduce the Open Affective Standardized Image Set (OASIS), an open-access online stimulus set containing 900 color images depicting a broad spectrum of themes, including humans, animals, objects, and scenes, along with normative ratings on two affective dimensions—valence (i.e., the degree of positive or negative affective response that the image evokes) and arousal (i.e., the intensity of the affective response that the image evokes). The OASIS images were collected from online sources, and valence and arousal ratings were obtained in an online study (total N = 822). The valence and arousal ratings covered much of the circumplex space and were highly reliable and consistent across gender groups. OASIS has four advantages: (a) the stimulus set contains a large number of images in four categories; (b) the data were collected in 2015, and thus OASIS features more current images and reflects more current ratings of valence and arousal than do existing stimulus sets; (c) the OASIS database affords users the ability to interactively explore images by category and ratings; and, most critically, (d) OASIS allows for free use of the images in online and offline research studies, as they are not subject to the copyright restrictions that apply to the International Affective Picture System. The OASIS images, along with normative valence and arousal ratings, are available for download from www.benedekkurdi.com/#oasis or https://db.tt/yYTZYCga.     

Neuter is not Common in Dutch: Eye Movements Reveal Asymmetrical Gender Processing

Native speakers of languages with transparent gender systems can use gender cues to anticipate upcoming words. To examine whether this also holds true for a non-transparent two-way gender system, i.e. Dutch, eye movements were monitored as participants followed spoken instructions to click on one of four displayed items on a screen (e.g., Klik op $de_{COM}$ rode appel $_{COM}$ , ‘Click on the $_\mathrm{COM}$ red apple $_\mathrm{COM}$ ’). The items contained the target, a colour- and/or gender-matching competitor, and two unrelated distractors. A mixed-effects regression analysis revealed that the presence of a colour-matching and/or gender-matching competitor significantly slowed the process of finding the target. The gender effect, however, was only observed for common nouns, reflecting the fact that neuter gender-marking cannot disambiguate as all Dutch nouns become neuter when used as diminutives. The gender effect for common nouns occurred before noun onset, suggesting that gender information is, at least partially, activated automatically before encountering the noun.     

Une base de l’émotionalité (valence,arousal, catégories) de 1286 mots français selon l’âge (EMA)

Introduction/aim

Several studies have shown that the effects of word emotionality on its processing depend on both its valence and its arousal. Such effects also varied with age. However, in French, there is no norm providing both valence and arousal estimates for words not directly referring to an emotion. That was the aim of this study. Moreover, the base of word emotionality according to age (EMA) we propose here provides categorization for each word in basic emotional subcategories.

EmoFinder: The meeting point for Spanish emotional words

We present here emoFinder (http://usc.es/pcc/emofinder), a Web-based search engine for Spanish word properties taken from different normative databases. The tool incorporates several subjective word properties for 16,375 distinct words. Although it focuses particularly on normative ratings for emotional dimensions (e.g., valence and arousal) and discrete emotional categories (fear, disgust, anger, happiness, and sadness), it also makes available ratings for other word properties that are known to affect word processing (e.g., concreteness, familiarity, contextual availability, and age of acquisition). The tool provides two main functionalities: Users can search for words matched on specific criteria with regard to the selected properties, or users can obtain the properties for a set of words. The output from emoFinder is highly customizable and can be accessed online or exported to a computer. The tool architecture is easily scalable, so that it can be updated to include word properties from new Spanish normative databases as they become available.     

A Cross-Cultural Psychometric Evaluation of the Athletic Identity Measurement Scale

The Athletic Identity Measurement Scale (AIMS) is a widely used measure of athletic identity (Brewer & Cornelius, 2001 Brewer, B. W. and Cornelius, A. E. 2001. Norms and factorial invariance of the Athletic Identity Measurement Scale. Academic Athletic Journal, 15: 103–113.  [Google Scholar]). Although the factor structure of the AIMS has been tested repeatedly in an American population, its psychometric properties remain largely unexplored cross-culturally. Therefore, the purposes of the study were to further test the psychometric properties of the abbreviated 7-item AIMS in an American population, while also exploring its utility cross-culturally. Results revealed the AIMS to be a psychometrically sound measure of athletic identity for male contact and collision athletes in both American and English-speaking Hong Kong Chinese populations.     

Age-Related Changes in Executive Function: A Normative Study with the Dutch Version of the Behavior Rating Inventory of Executive Function (BRIEF)

This study examined age-related change in executive function by using a Dutch translation of the Behavior Rating Inventory of Executive Function (BRIEF; Gioia et al., 2000 Gioia, G. A., Isquith, P. K., Guy, S. C. and Kenworthy, L. 2000. Behavior Rating Inventory of Executive Function BRIEF): Professional manual, Lutz, FL: Psychological Assessment Resources.  [Google Scholar]) that was applied to a normative sample (age range 5–18 years). In addition, we examined the reliability and factorial structures of the Dutch BRIEF. Results with respect to age revealed a decrease in reported executive function problems with increasing age. On the Behavior Regulation Index (BRI), 5- to 8-year-olds showed significantly more executive function problems than 9- to 11-year-olds, as did the 12- to 14-year-olds compared to 15- to 18-year-olds (except on the Shift subscale). On the Metacognition Index, we found that 9- to 11-year-olds differed significantly from 5- to 8-year-olds on the Working Memory subscale. In addition, the current study showed that the internal consistency of the Dutch BRIEF is very high, and that this version of the BRIEF has a high test-retest stability. Item factor analysis confirmed the expected eight common factor model, and factor analysis of the eight test scores confirmed the two-factor model, as proposed by Gioia et al., in the Dutch data.     

Taboo,emotionally valenced,and emotionally neutral word norms

Although taboo words are used to study emotional memory and attention, no easily accessible normative data are available that compare taboo, emotionally valenced, and emotionally neutral words on the same scales. Frequency, inappropriateness, valence, arousal, and imageability ratings for taboo, emotionally valenced, and emotionally neutral words were made by 78 native-English-speaking college students from a large metropolitan university. The valenced set comprised both positive and negative words, and the emotionally neutral set comprised category-related and category-unrelated words. To account for influences of demand characteristics and personality factors on the ratings, frequency and inappropriateness measures were decomposed into raters’ personal reactions to the words versus raters’ perceptions of societal reactions to the words (personal use vs. familiarity and offensiveness vs. tabooness, respectively). Although all word sets were rated higher in familiarity and tabooness than in personal use and offensiveness, these differences were most pronounced for the taboo set. In terms of valence, the taboo set was most similar to the negative set, although it yielded higher arousal ratings than did either valenced set. Imageability for the taboo set was comparable to that of both valenced sets. The ratings of each word are presented for all participants as well as for single-sex groups. The inadequacies of the application of normative data to research that uses emotional words and the conceptualization of taboo words as a coherent category are discussed. Materials associated with this article may be accessed at the Psychonomic Society’s Archive of Norms, Stimuli, and Data, www.psychonomic.org/archive.     

Affective norms for 210 British English and Finnish nouns

This article presents affective ratings for 210 British English and Finnish nouns, including taboo words. The norms were collected with 135 native British English and 304 native Finnish speakers, who rated the words according to their emotional valence, emotional charge, offensiveness, concreteness, and familiarity. The ratings between the two languages were found to be strongly correlated. The present ratings were also strongly correlated with the American English emotional valence and arousal ratings available in the Affective Norms for English Words database (Bradley & Lang, 1999) and the Janschewitz (2008) database for taboo words. These ratings will help researchers to select stimulus materials for a wide range of experiments involving both monolingual and bilingual processing of British English and Finnish emotional words. Materials associated with this article may be accessed as an online supplement from http://brm.psychonomic-journals.org/content/supplemental.