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Validation de stimuli prosodiques émotionnels chez les Franco-québécois de 50 à 80 ans*

Published online by Cambridge University Press:  25 April 2014

Flore Morneau-Sévigny
Affiliation:
École de psychologie, Université Laval, Québec, Canada
Joannie Pouliot
Affiliation:
École de psychologie, Université Laval, Québec, Canada
Sophie Presseau
Affiliation:
École de psychologie, Université Laval, Québec, Canada
Marie-Hélène Ratté
Affiliation:
École de psychologie, Université Laval, Québec, Canada
Marie-Pier Tremblay
Affiliation:
École de psychologie, Université Laval, Québec, Canada
Joël Macoir
Affiliation:
Centre de recherche de l’Institut universitaire en santé mentale de Québec, Québec, Canada Département de réadaptation, Université Laval, Québec, Canada
Carol Hudon*
Affiliation:
École de psychologie, Université Laval, Québec, Canada Centre de recherche de l’Institut universitaire en santé mentale de Québec, Québec, Canada
*
La correspondance et les demandes de tirés-à-part doivent être adressées à : / Correspondence and requests for offprints should be sent to: Carol Hudon, Ph.D. 2325, rue des Bibliothèques Pavillon Félix-Antoine-Savard (local 1546) Québec, QC G1V 0A6 (Carol.Hudon@psy.ulaval.ca)

Abstract

Few batteries of prosodic stimuli testing have been validated for Quebec-French people. Such validation is necessary to develop auditory-verbal tasks in this population. The objective of this study was to validate a battery of emotional prosodic stimuli for French-Québec aging subjects. The battery of 195 stimuli, which was elaborated by Maurage et al. (2007), is composed of 195 prosodic stimuli and was administrated to 50 healthy Quebecers aged 50-to-80 years. The percentages of good responses were calculated for each stimulus. For each emotion, Cronbach’s alphas were calculated to evaluate the internal consistency of the stimuli. Results showed that among the 195 stimuli, 40 were correctly recognized by at least 80 per cent of the subjects. Anger was the emotion that was most correctly identified by the participants, while recognition of disgust was the least recognised. Overall, this study provides data that will guide the selection of prosodic stimuli in evaluating French-Québécois.

Résumé

Peu de banques de stimuli prosodiques ont été validées chez les Québécois francophones. La validation de ce type de banques est nécessaire pour développer des tâches auditivo-verbales chez cette population. L’objectif de cette étude est de valider une banque de stimuli prosodiques émotionnels auprès de Franco-québécois vieillissants. La banque de 195 stimuli (Maurage, Joassin, Philippot & Campanella, 2007) a été administrée à 50 Québécois sains âgés de 50 à 80 ans. Les pourcentages de bonnes réponses pour chaque stimulus ont été calculés. Pour chaque émotion, des alphas de Cronbach ont été calculés pour évaluer la cohérence interne des stimuli. Quarante des 195 stimuli ont été reconnus correctement par au moins 80 pour cent des participants. L’émotion la mieux reconnue était la colère; le dégoût était la moins bien reconnue. Cette étude fournit des données qui guideront le choix de stimuli prosodiques viables à des fins d’évaluation auprès de Franco-québécois.

Type
Articles
Copyright
Copyright © Canadian Association on Gerontology 2014 

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Footnotes

*

Les quatre premiers auteurs ont contribué également à cet article.

References

Références

Adolphs, R., Damasio, H., & Tranel, D. (2002). Neural systems for recognition of emotional prosody: A 3-D lesion study. Emotion, 2(1), 2351. doi: 10.1037//1528-3542.2.1.23.Google Scholar
Banse, R., & Scherer, K. R. (1996). Acoustic profiles in vocal emotion expression. Journal of Personality and Social Psychology, 70(3), 614636. doi: 10.1037/0022-3514.70.3.614.CrossRefGoogle ScholarPubMed
Bänziger, T., Grandjean, D., & Scherer, K. R. (2009). Emotion recognition from expressions in face, voice, and body: The Multimodal Emotion Recognition Test (MERT). Emotion, 9(5), 691704. doi: 10.1037/a0017088.Google Scholar
Biehl, M., Matsumoto, D., Ekman, P., Hearn, V., Heider, K., Kudoh, T., et al. (1997). Matsumoto and Ekman’s Japanese and Caucasian facial expressions of emotion (JACFEE): Reliability data and cross-national differences. Journal of Nonverbal Behavior, 21(1), 321. doi: 10.1023/A:1024902500935.CrossRefGoogle Scholar
Bonin, P., Peereman, R., Malardier, N., Méot, A., & Chalard, M. (2003). A new set of 299 pictures for psycholinguistic studies: French norms for name agreement, image agreement, conceptual familiarity, visual complexity, image variability, age of acquisition, and naming latencies. Behavior Research Methods, Instruments & Computers, 35(1), 158167. doi: 10.3758/BF03195507.Google Scholar
Borod, J. C., Andelman, F., Obler, L. K., Tweedy, J. R., & Welkowitz, J. (1992). Right hemisphere specialization for the identification of emotional words and sentences: Evidence from stroke patients. Neuropsychologia, 30(9), 827844. doi: 10.1016/0028-3932(92)90086-2.CrossRefGoogle ScholarPubMed
Bradley, M. M., & Lang, P. J. (1999). Affective Norms for English words (ANEW): Instruction manual and affective ratings. Technical Report C-1, The Center for Research in Psychophysiology, University of Florida.Google Scholar
Ekman, P. (1992a). Are there basic emotions? Psychological Review, 99(3), 550553.CrossRefGoogle ScholarPubMed
Ekman, P. (1992b). An argument for basic emotions. Cognition and Emotion, 6(3/4), 169200.CrossRefGoogle Scholar
Ekman, P. (1999). Basic emotions. In Dalgleish, T. & Power, T. (Eds.) The handbook of cognition and emotion (pp. 4560). Sussex, UK: John Wiley & Sons, Ltd.CrossRefGoogle Scholar
Ekman, P. & Friesen, W. V. (1971). Constants across cultures in the face and emotion. Journal of Personality and Social Psychology, 17(2), 124129. doi: 10.1037/h0030377.CrossRefGoogle ScholarPubMed
Erickson, K., & Schulkin, J. (2003). Facial expressions of emotion: A cognitive neuroscience perspective. Brain and Cognition, 52(1), 5260. doi: 10.1016/S0278-2626(03)00008-3.CrossRefGoogle ScholarPubMed
Folstein, M. F., Folstein, S. E., & McHugh, P. R. (1975). Mini-mental state. A practical method for grading the cognitive state of patients for the clinician. Journal of Psychiatric Research, 12(3), 189198. doi: 10.1016/0022-3956(75)90026-6.Google Scholar
Johnstone, T., & Scherer, K. R. (2000). Vocal communication of emotion. In Lewis, M. & Haviland, J. (Eds.), The handbook of emotion, 2nd ed. (pp. 220235). New York: Guilford.Google Scholar
Juslin, P. N., & Laukka, P. (2003). Communication of emotions in vocal expression and music performance: Different channels, same code? Psychological Bulletin, 129(5), 770814. doi: 10.1037/0033-2909.129.5.770.CrossRefGoogle ScholarPubMed
Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (1997). International Affective Picture System (IAPS): Technical Manual and Affective Ratings. NIMH Center for the Study of Emotion and Attention.Google Scholar
Larousse, P. (2012). Émotion. In Legrain, D. M. & Garnier, Y. (Eds.), Le Petit Larousse Illustré. Paris: Author.Google Scholar
Maurage, P., Joassin, F., Philippot, P., & Campanella, S. (2007). A validated battery of vocal emotional expressions. Neuropsychological Trends, 2, 6374.Google Scholar
Mitchell, R. L. C., Kingston, R. A., & Barbosa Bouças, S. L. (2011). The specificity of age-related decline in interpretation of emotion cues from prosody. Psychology and aging, 26(2), 406414. doi: 10.1037/a0021861.Google Scholar
Peretz, I., Gagnon, L., & Bouchard, B. (1998). Music and emotion: Perceptual determinants, immediacy, and isolation after brain damage. Cognition, 68(2), 111141. doi: 10.1016/S0010-0277(98)00043-2.CrossRefGoogle ScholarPubMed
Rankin, K. P., Kramer, J. H., & Miller, B. L. (2005). Patterns of cognitive and emotional empathy in frontotemporal lobar degeneration. Cognitive and Behavioral Neurology, 18(1), 2836.Google Scholar
Ruffman, T., Henry, J. D., Livingstone, V., & Phillips, L. H. (2008). A meta-analytic review of emotion recognition and aging: Implications for neuropsychological models of aging. Neuroscience and Biobehavioral Reviews, 32(4), 863881. doi: 10.1016/j.neubiorev.2008.01.001.Google Scholar
Scherer, K. R., Banse, R., Wallbott, H. G., & Goldbeck, T. (1991). Vocal cues in emotion encoding and decoding. Motivation and Emotion, 15(2), 123148. doi: 10.1007/BF00995674.Google Scholar
Scherer, K. R., Banse, R., & Wallbott, H. G. (2001). Emotion inferences from vocal expression correlate across languages and cultures. Journal of Cross-Cultural Psychology, 32(1), 7692. doi: 10.1177/0022022101032001009.CrossRefGoogle Scholar
Schirmer, A., Kotz, S. A., & Friederici, A. D. (2005). On the role of attention for the processing of emotions in speech: Sex differences revisited. Cognitive Brain Research, 24, 442452.Google Scholar
Simon, D., Craig, K. D., Gosselin, F., Belin, P., & Rainville, P. (2008). Recognition and discrimination of prototypical dynamic expressions of pain and emotions. Pain, 135(1–2), 5564.Google Scholar
Thompson, W. F., Schellenberg, E. G., & Husain, G. (2004). Decoding speech prosody: Do music lessons help? Emotion, 4(1), 4664. doi: 10.1037/1528-3542.4.1.46.CrossRefGoogle ScholarPubMed
Weathers, M. D., Frank, E. M., & Spell, L. A. (2002). Differences in the communication of affect: Members of the same race versus members of a different race. Journal of Black Psychology, 28(1), 6677. doi: 10.1177/0095798402028001005.CrossRefGoogle Scholar
Yesavage, J. A., Brink, T. L., Rose, T. L., Lum, O., Huang, V., Adey, M., et al. (1983). Development and validation of a geriatric depression screening scale: A preliminary report. Journal of Psychiatric Research, 17, 3749.Google Scholar