New Handbook of Methods in Nonverbal Behavior Research (Series in Affective Science)
Language: English
Pages: 550
ISBN: 0198529627
Format: PDF / Kindle (mobi) / ePub
For many years the Handbook of Methods in Nonverbal Behavior Research (Scherer & Ekman, 1982) has been an invaluable text for researchers looking for methods to study nonverbal behavior and the expression of affect. A successor to this essential text, The New Handbook of Methods in Nonverbal Behavior Research includes chapters on coding and methodological issues for a variety of areas in nonverbal behavior: facial actions, vocal behavior, and body movement. Issues relevant to judgment studies, methodology, reliability, analyses, etc. have also been updated. The topics are broad and include specific information about methodology and coding strategies in education, psychotherapy, deception, nonverbal sensitivity, and marital and group behavior. There is also a chapter detailing specific information on the technical aspects of recording the voice and face, and specifically in relation to deception studies.
This volume will be valuable for both new researchers and those already working in the fields of nonverbal behavior, affect expression, and related topics. It will play a central role in further refining research methods and coding strategies, allowing a comparison of results from various laboratories where research on nonverbal behavior is being conducted. This will advance research in the field and help to coordinate results so that a more comprehensive understanding of affect expression can be developed.
deliberately did not examine Ekman and Friesen’s Facial Action Coding System, even though it had already been published at the time when he was developing his measurement techniques. 16 handbook of methods in n onverbal behavior research Investigators—often failing to specify the sample, setting, or persons viewed—usually said only that they looked at behavior and that their list of facial actions was simply the product of what they saw. Something more is needed, however, to account for the
emotions but found that there were no facial actions related to emotion. If one could discount the possibility that the sample did not include emotional behavior, this might suggest that the facial measurement technique was not relevant to emotion. It might have measured just those facial behaviors that are unrelated to emotion. Another technique applied to the same sample of facial behavior might uncover the actions related to emotion. Two techniques (Ekman and Friesen and Ermiane and Gergerian)
approach involves traditional expectations about how arousal might aVect the voice, but there has been little eVort to understand the underlying mechanisms. A third approach has been suggested by Scherer (1984), who argues that bodily expression, including the voice, is driven by the nature of the cognitive appraisal. Thus, Scherer (1986), in his component process theory, proposed a set of detailed predictions of vocal (and acoustic) changes based on the physiological eVects of particular
answer the question, showing that facial expressions do convey messages about psychopathology. To utilize the measurement of sign vehicles approach, some or all of the facial movements would be classiWed or counted in some fashion. If the Wndings showed, for example, that depressives raised the inner corners of their eyebrows more than the other two groups, whereas schizophrenics showed facial movements that very slowly faded oV the face, this would also answer the question aYrmatively.
Special Issue 2001–2002, pp. 173–211. Ververidis, D. & Kotropoulos, C. (2003). A state of the art review on emotional speech databases. In Proceedings of the First International Workshop on Interactive Rich Media Content Production: Architectures, Technologies, Applications, Tools, October 2003, pp. 109–19. Von Bismarck, G. (1974). Sharpness as an attribute of the timbre of steady state sounds. Acustica, 30, 146–59. Vroomen, J., Collier, R., & Mozziconacci, S.J.L. (1993). Duration and intonation