The Rovereto Emotion and Cooperation Corpus: a new resource to investigate cooperation and emotions.
The Rovereto Emotion and Cooperation Corpus (RECC) is a new resource collected to investigate the relationship between cooperation and emotions in an interactive setting. Previous attempts at collecting corpora to study emotions have shown that this data are often quite difficult to classify and ana...
| Publicado en: | Language Resources & Evaluation Vol. 46; no. 1; pp. 117 - 131 |
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| Autores principales: | , |
| Formato: | Report |
| Publicado: |
Springer Nature
Mar2012
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| Materias: | |
| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=73888366&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 73888366 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2012 vid: 46 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 73888366 10.1007/s10579-011-9163-y ppf: 117 ppct: 14 formats: fmt: @attributes: type: P size: 283KB tig: atl: The Rovereto Emotion and Cooperation Corpus: a new resource to investigate cooperation and emotions. aug: au: Cavicchio, Federica Poesio, Massimo affil: Center for Mind/Brain Sciences, University of Trento, Rovereto Italy su: Corpora Language & emotions Task performance Cooperativeness Dialogue analysis Data analysis Psycholinguistics sug: subj: Corpora Language & emotions Task performance Cooperativeness Dialogue analysis Data analysis Psycholinguistics keyword: Annotation Cooperation Emotions Multimodal Dialogue ab: The Rovereto Emotion and Cooperation Corpus (RECC) is a new resource collected to investigate the relationship between cooperation and emotions in an interactive setting. Previous attempts at collecting corpora to study emotions have shown that this data are often quite difficult to classify and analyse, and coding schemes to analyse emotions are often found not to be reliable. We collected a corpus of task-oriented (MapTask-style) dialogues in Italian, in which the segments of emotional interest are identified using psycho-physiological indexes (Heart Rate and Galvanic Skin Conductance) which are highly reliable. We then annotated these segments in accordance with novel multimodal annotation schemes for cooperation (in terms of effort) and facial expressions (an indicator of emotional state). High agreement was obtained among coders on all the features. The RECC corpus is to our knowledge the first resource with psycho-physiological data aligned with verbal and nonverbal behaviour data. pubtype: Academic Journal doctype: Report src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2012. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2012 holdings: @attributes: islocal: N |
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