Dataset Information

Development and Validation of Verbal Emotion Vignettes in Portuguese, English, and German.

ABSTRACT: Everyday human social interaction involves sharing experiences verbally and these experiences often include emotional content. Providing this context generally leads to the experience of emotions in the conversation partner. However, most emotion elicitation stimulus sets are based on images or film-sequences providing visual and/or auditory emotion cues. To assimilate what occurs within social interactions, the current study aimed at creating and validating verbal emotion vignettes as stimulus set to elicit emotions (anger, disgust, fear, sadness, happiness, gratitude, guilt, and neutral). Participants had to mentally immerse themselves in 40 vignettes and state which emotion they experienced next to the intensity of this emotion. The vignettes were validated on a large sample of native Portuguese-speakers (N = 229), but also on native English-speaking (N = 59), and native German-speaking (N = 50) samples to maximise applicability of the vignettes. Hierarchical cluster analyses showed that the vignettes mapped clearly on their target emotion categories in all three languages. The final stimulus sets each include 4 vignettes per emotion category plus 1 additional vignette per emotion category which can be used for task familiarisation procedures within research. The high agreement rates on the experienced emotion in combination with the medium to large intensity ratings in all three languages suggest that the stimulus sets are suitable for application in emotion research (e.g., emotion recognition or emotion elicitation).

SUBMITTER: Wingenbach TSH

PROVIDER: S-EPMC6587102 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

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Publications

Development and Validation of Verbal Emotion Vignettes in Portuguese, English, and German.

Wingenbach Tanja S H TSH Morello Leticia Y LY Hack Ana L AL Boggio Paulo S PS

Frontiers in psychology 20190614

Everyday human social interaction involves sharing experiences verbally and these experiences often include emotional content. Providing this context generally leads to the experience of emotions in the conversation partner. However, most emotion elicitation stimulus sets are based on images or film-sequences providing visual and/or auditory emotion cues. To assimilate what occurs within social interactions, the current study aimed at creating and validating verbal emotion vignettes as stimulus ...[more]

PMID: 31258497

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Project description:Even in highly-developed countries, as many as 15-30% of the population can only understand texts written using a basic vocabulary. Their understanding of everyday texts is limited, which prevents them from taking an active role in society and making informed decisions regarding healthcare, legal representation, or democratic choice. Lexical simplification is a natural language processing task that aims to make text understandable to everyone by replacing complex vocabulary and expressions with simpler ones, while preserving the original meaning. It has attracted considerable attention in the last 20 years, and fully automatic lexical simplification systems have been proposed for various languages. The main obstacle for the progress of the field is the absence of high-quality datasets for building and evaluating lexical simplification systems. In this study, we present a new benchmark dataset for lexical simplification in English, Spanish, and (Brazilian) Portuguese, and provide details about data selection and annotation procedures, to enable compilation of comparable datasets in other languages and domains. As the first multilingual lexical simplification dataset, where instances in all three languages were selected and annotated using comparable procedures, this is the first dataset that offers a direct comparison of lexical simplification systems for three languages. To showcase the usability of the dataset, we adapt two state-of-the-art lexical simplification systems with differing architectures (neural vs. non-neural) to all three languages (English, Spanish, and Brazilian Portuguese) and evaluate their performances on our new dataset. For a fairer comparison, we use several evaluation measures which capture varied aspects of the systems' efficacy, and discuss their strengths and weaknesses. We find that a state-of-the-art neural lexical simplification system outperforms a state-of-the-art non-neural lexical simplification system in all three languages, according to all evaluation measures. More importantly, we find that the state-of-the-art neural lexical simplification systems perform significantly better for English than for Spanish and Portuguese, thus posing a question if such an architecture can be used for successful lexical simplification in other languages, especially the low-resourced ones.

Project description:ObjectivesTo develop and validate a Weight Literacy Scale in English and Spanish for adults.MethodsThe two-phase study utilized quantitative and qualitative methods. Phase 1 of the study consisted of developing an initial survey (English and Spanish versions) assessing weight literacy based on a review of the literature; conducting semi-structured interviews with content experts (N = 9) to refine survey items; and conducting in-person cognitive interviews with 20 study participants (N = 10 English-speaking and N = 10 Spanish-speaking adults) for survey pre-testing. Survey items were modified based on Phase 1 findings. Phase 2 consisted of a psychometric study of the Weight Literacy Scale developed in Phase 1. Procedures included administering the Weight Literacy Scale to 200 study participants (N = 100 English-speaking and N = 100 Spanish-speaking adults), a quantitative survey assessing dietary and physical activity behaviors and sociodemographics, measuring participants' height and weight, and assessing the scale's validity and internal reliability. A subset of Phase 2 participants (N = 71) completed the weight literacy scale at two-weeks follow-up to assess test-retest reliability. Participant recruitment and study procedures took place in community settings in central Massachusetts for both study phases. Weight literacy scale scores were calculated as the sum of total correct items. Three rounds of factor analysis were performed to identify items for elimination. The Kuder Richardson's Coefficient of reliability was calculated. Correlations between the Weight Literacy Scale scores and related measures (body mass index and weight status, dietary behaviors, physical activity behaviors, and confidence in filling out medical forms) were examined.ResultsThe final scale included 31 items and demonstrated strong internal consistency (Kuder Richardson Coefficient = 0.90), reasonable construct validity, and acceptable test-retest reliability (ρ = 0.72).ConclusionThe Weight Literacy Scale is a reliable and valid research instrument to assess weight literacy among English- and Spanish-speaking adults.

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Dataset Information

Development and Validation of Verbal Emotion Vignettes in Portuguese, English, and German.

Publications

Development and Validation of Verbal Emotion Vignettes in Portuguese, English, and German.

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