The New Handbook of Methods in Nonverbal Behavior Research

By J. Harrigan, R. Rosenthal, Klaus R. Scherer. 2008

444 citations recorded by the source corpus.

Introduction BASIC RESEARCH METHODS AND PROCEDURES 2. Measuring facial action 3. Vocal expression of affect 4. Proxemics, kinesics, and gaze 5. Conducting judgment studies: some methodological issues RESEARCH APPLICATIONS IN NONVERBAL BEHAVIOR 6. Nonverbal behavior and interpersonal sensitivity 7. Nonverbal behavior in education 8. Nonverbal behavior and psychopathology 9. Research methods in detecting deception research 10. Nonverbal communication coding systems of committed couples 11. Macrovariables in affective expression in women with breast cancer participating in support groups SUPPLEMENTARY MATERIALS 12. Technical issues in recording nonverbal behavior Appendix: Methodological issues in studying nonverbal behavior

Subfields: Education

View Paper: https://www.semanticscholar.org/paper/1bcb29ad938903db4dbbaf40ff759e2694c7b6bf

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In Education

1. Tanja Bänziger
2. Klaus R. Scherer
3. Silvia Bonaccio

Citations in the corpus

• Nonverbal Behavior and Communication in the Workplace (2016, background): “For management scholars wishing to address these and other questions, we provide a list of useful empirical instruments (Tables 2 and 3), discuss essential methodological considerations (see Table 4), and suggest other readings (Gray & Ambady, 2006; Harrigan, 2013; Harrigan et al., 2005; Manusov, 20”
• A Survey of Personality Computing (2014, unknown): “Statistical criteria (e.g., the reliability proposed in [25]) allow one to set the number of assessors based on their mutual agreement.”
• Training deep networks for facial expression recognition with crowd-sourced label distribution (2016, background): “With this, we can conclude that the number of taggers has a high impact on the final label quality [21].”
• Introducing the Geneva Multimodal Emotion Portrayal (GEMEP) corpus (2010, methodology): “In the vocal domain, the state of the art is the extraction of acoustic parameters by using digital signal analysis procedures (see Banse & Scherer, 1996; Juslin & Scherer, 2005; Scherer, Johnstone, & Klasmeyer, 2003).”