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Recognizing emotions in spoken language: a validated set of Portuguese sentences and pseudosentences for research on emotional prosody.
Behav Res Methods. 2010 Feb; 42(1):74-81.BR

Abstract

A set of semantically neutral sentences and derived pseudosentences was produced by two native European Portuguese speakers varying emotional prosody in order to portray anger, disgust, fear, happiness, sadness, surprise, and neutrality. Accuracy rates and reaction times in a forced-choice identification of these emotions as well as intensity judgments were collected from 80 participants, and a database was constructed with the utterances reaching satisfactory accuracy (190 sentences and 178 pseudosentences). High accuracy (mean correct of 75% for sentences and 71% for pseudosentences), rapid recognition, and high-intensity judgments were obtained for all the portrayed emotional qualities. Sentences and pseudosentences elicited similar accuracy and intensity rates, but participants responded to pseudosentences faster than they did to sentences. This database is a useful tool for research on emotional prosody, including cross-language studies and studies involving Portuguese-speaking participants, and it may be useful for clinical purposes in the assessment of brain-damaged patients. The database is available for download from http://brm.psychonomic-journals.org/content/supplemental.

Authors+Show Affiliations

Faculty of Psychology and Education, University of Porto, Rua Doutor Manuel Pereira da Silva, Porto, Portugal. slcastro@fpce.up.ptNo affiliation info available

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't
Validation Study

Language

eng

PubMed ID

20160287

Citation

Castro, São Luís, and César F. Lima. "Recognizing Emotions in Spoken Language: a Validated Set of Portuguese Sentences and Pseudosentences for Research On Emotional Prosody." Behavior Research Methods, vol. 42, no. 1, 2010, pp. 74-81.
Castro SL, Lima CF. Recognizing emotions in spoken language: a validated set of Portuguese sentences and pseudosentences for research on emotional prosody. Behav Res Methods. 2010;42(1):74-81.
Castro, S. L., & Lima, C. F. (2010). Recognizing emotions in spoken language: a validated set of Portuguese sentences and pseudosentences for research on emotional prosody. Behavior Research Methods, 42(1), 74-81. https://doi.org/10.3758/BRM.42.1.74
Castro SL, Lima CF. Recognizing Emotions in Spoken Language: a Validated Set of Portuguese Sentences and Pseudosentences for Research On Emotional Prosody. Behav Res Methods. 2010;42(1):74-81. PubMed PMID: 20160287.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Recognizing emotions in spoken language: a validated set of Portuguese sentences and pseudosentences for research on emotional prosody. AU - Castro,São Luís, AU - Lima,César F, PY - 2010/2/18/entrez PY - 2010/2/18/pubmed PY - 2010/5/21/medline SP - 74 EP - 81 JF - Behavior research methods JO - Behav Res Methods VL - 42 IS - 1 N2 - A set of semantically neutral sentences and derived pseudosentences was produced by two native European Portuguese speakers varying emotional prosody in order to portray anger, disgust, fear, happiness, sadness, surprise, and neutrality. Accuracy rates and reaction times in a forced-choice identification of these emotions as well as intensity judgments were collected from 80 participants, and a database was constructed with the utterances reaching satisfactory accuracy (190 sentences and 178 pseudosentences). High accuracy (mean correct of 75% for sentences and 71% for pseudosentences), rapid recognition, and high-intensity judgments were obtained for all the portrayed emotional qualities. Sentences and pseudosentences elicited similar accuracy and intensity rates, but participants responded to pseudosentences faster than they did to sentences. This database is a useful tool for research on emotional prosody, including cross-language studies and studies involving Portuguese-speaking participants, and it may be useful for clinical purposes in the assessment of brain-damaged patients. The database is available for download from http://brm.psychonomic-journals.org/content/supplemental. SN - 1554-3528 UR - https://www.unboundmedicine.com/medline/citation/20160287/Recognizing_emotions_in_spoken_language:_a_validated_set_of_Portuguese_sentences_and_pseudosentences_for_research_on_emotional_prosody_ DB - PRIME DP - Unbound Medicine ER -