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

Briesemeister, Benny B.; Kuchinke, Lars; Jacobs, Arthur

doi:10.3758/s13428-011-0059-y

Cited by 82 publications

(109 citation statements)

References 51 publications

(77 reference statements)

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“…Even though the power in the present study might have been too low to detect interactive effects, the absence of an interaction is well in line with previous reports of independent proportions of variance being explained by discrete-emotion and affective dimension manipulations (Briesemeister et al, 2011a(Briesemeister et al, , 2011b(Briesemeister et al, , 2014Silva et al, 2012;Weigand et al, 2013), as is predicted by the hierarchical model (Panksepp, 2012). To the best of our knowledge, the present work is the first neuroimaging study that has tried to disentangle discrete-emotion and affective dimension influences in word recognition.…”

Section: Discussionsupporting

confidence: 77%

“…Several recent studies have shown that manipulations along discrete emotion categories affect different word-processing variances than do manipulations along affective dimensions (Briesemeister et al, 2011a(Briesemeister et al, , 2011b(Briesemeister et al, , 2014Silva et al, 2012;Weigand et al, 2013), suggesting that implicit processing of happiness and positivity reveals dissociable underlying networks. The results of Briesemeister et al (2014) already supported this hypothesis: An early N1 effect, discussed as indexing early attentional resource allocation to affectively conditioned word forms (Bayer et al, 2012), was found to separate high-from low-happiness words, whereas positivity affected the N400 and the LPC.…”

Section: Discussionmentioning

confidence: 99%

“…The authors interpreted this finding in terms of neural reuse (M. L. Anderson, 2010;Herbert et al, 2009), suggesting that phylogenetically younger processes such as reading rely at least partially on already-existing old emotion processing regions-for example, the limbic system (see also Bohrn, Altmann, Lubrich, Menninghaus, & Jacobs, 2013;Jacobs, 2011Jacobs, , 2014. Words strongly related to a given emotion are thus assumed to activate a given affective program more strongly than words judged as being weakly related to that emotion, or than neutral words (Briesemeister, Kuchinke, & Jacobs, 2011a;Jacobs & Schrott, 2013). An fMRI replication of Briesemeister et al's (2014) ERP results was therefore expected to reveal distinct activations within emotionprocessing networks: Secondary-process-level emotions should rely on limbic brain structures, whereas tertiaryprocess-level emotions should engage prefrontal brain regions.…”

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confidence: 99%

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Emotions in reading: Dissociation of happiness and positivity

Briesemeister

Kuchinke

Jacobs

et al. 2014

Cogn Affect Behav Neurosci

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The hierarchical emotion model proposed by Panksepp (1998) predicts that affective processing will rely on three functionally and neuroanatomically distinct levels, engaging subcortical networks (primary level), the limbic system (secondary level), and the neocortex (tertiary level). In the present fMRI study, we manipulated happiness and positivity, which are assumed to rely on secondary-and tertiary-level processes, respectively, to test these assumptions in a word recognition task. In accordance with the model predictions, evidence for a double dissociation was found in the brain activation patterns: Secondary-level processes engaged parts of the limbic system-specifically, the right hemispheric amygdala. Tertiary-level processes, in contrast, relied predominantly on frontal neocortical structures such as the left inferior frontal and medial frontal gyri. These results are interpreted as support for Panksepp's (1998) model and as an indicator of a semantic foundation of affective dimensions.

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Section: Discussionsupporting

confidence: 77%

Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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Emotions in reading: Dissociation of happiness and positivity

Briesemeister

Kuchinke

Jacobs

et al. 2014

Cogn Affect Behav Neurosci

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“…A single data set would also benefit the development of studies focused on the effects of discrete emotions in word recognition, a promising line of research in contemporary affective research (see Briesemeister et al, 2011;Stevenson et al, 2007).…”

Section: Resultsmentioning

confidence: 99%

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

et al. 2011

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This study presents the adaptation of the Affective Norms for English Words (ANEW; Bradley & Lang, 1999a) for European Portuguese (EP). The EP adaptation of the ANEW was based on the affective ratings made by 958 college students who were EP native speakers. Subjects assessed about 60 words by considering the affective dimensions of valence, arousal, and dominance, using the Self-Assessment Manikin (SAM) in either a paper-and-pencil or a Web survey procedure. Results of the adaptation of the ANEW for EP are presented. Furthermore, the differences between EP, American (Bradley & Lang, 1999a), and Spanish (Redondo, Fraga, Padrón, & Comesaña, Behavior Research Methods, 39, 600-605, 2007) standardizations were explored. Results showed that the ANEW words were understood in a similar way by EP, American, and Spanish subjects, although some sex and cross-cultural differences were observed. The EP adaptation of the ANEW is shown to be a valid and useful tool that will allow researchers to control and/or manipulate the affective properties of stimuli, as well as to develop cross-linguistic studies. The normative values of EP adaptation of the ANEW can be downloaded at http://brm.psychonomic-journals.org/content/supplemental.

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“…Recently, a growing minority of researchers have begun to investigate distinct emotional subcategories underpinning the meaning of words (e.g., Briesemeister, Kuchinke, & Jacobs, 2011a, 2011bFontaine, Scherer, Roesch, & Ellsworth, 2007;Stevenson, Mikels & James, 2007;Wurm, 2007). For example, Briesemeister et al (2011a) showed that a word's membership within certain discrete emotional categories ("happiness", "disgust", and "fear", but not "anger" or "sadness") could explain as much variance in lexical decision RTs as a two-dimensional (arousal × valence) model of emotion.…”

Section: Discussionmentioning

confidence: 99%

Emotion words and categories: evidence from lexical decision

2013

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We examined the categorical nature of emotion word recognition. Positive, negative, and neutral words were presented in lexical decision tasks. Word frequency was additionally manipulated. In Experiment 1, "positive" and "negative" categories of words were implicitly indicated by the blocked design employed. A significant emotion-frequency interaction was obtained, replicating past research. While positive words consistently elicited faster responses than neutral words, only low frequency negative words demonstrated a similar advantage. In Experiments 2a and 2b, explicit categories ("positive," "negative," and "household" items) were specified to participants. Positive words again elicited faster responses than did neutral words. Responses to negative words, however, were no different than those to neutral words, regardless of their frequency. The overall pattern of effects indicates that positive words are always facilitated, frequency plays a greater role in the recognition of negative words, and a "negative" category represents a somewhat disparate set of emotions. These results support the notion that emotion word processing may be moderated by distinct systems. Barsalou, 1983) and whether a category is established implicitly or explicitly, for example, via the context afforded by a list of related items or by an encompassing label (e.g., Bazzanella & Bouquet, 2011;Becker, 1980;Schacter & Badgaiyan, 2001), has implications for the amount of benefit conferred on its members.To investigate the categorical nature of emotion word processing, we designed a series of lexical decision experiments that all additionally manipulated word frequency, in particular, because of its differential effect on responses to negative words. In the prior emotion × frequency lexical decision studies, positive and negative words were intermixed with neutral words within a single block. In our first study (Experiment 1), we examined whether the same pattern of effects would be obtained under conditions of implicit Emotion words and categories 5 categorical priming -when positive and negative words were presented in separate blocks.In the subsequent two studies, we examined the effect of explicit category priming, comparing responses to words belonging to the neutral category of "household" items to those within the category of either "positive" (Experiment 2a) or "negative" (Experiment 2b) items. In the Kuchinke et al. (2007) and Scott et al. (2009) Taken together, the results of these experiments should begin to address the role that categorical priming plays in experimental research into emotion word processing. Experiment 1 MethodParticipants. Twenty-four members of the University of Glasgow community (16 female; mean age 25) received compensation for their participation. All were native English speakers, were right-handed, had normal or corrected-to-normal vision, and were naïve as to the purpose of the experiment.Apparatus. The experiment was run on a Mac G4 using PsyScope 1.2.5 PPC software. Stimuli were presented ...

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

Cited by 82 publications

References 51 publications

Emotions in reading: Dissociation of happiness and positivity

Emotions in reading: Dissociation of happiness and positivity

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

Emotion words and categories: evidence from lexical decision

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