Nonverbal Expressions of Liking and Disliking in Initial Interaction: Encoding and Decoding Perspectives

Social attraction in video-mediated communication: The role of nonverbal affiliative behavior

“…The present study demonstrates that in comparing FTF communication and VMC, with the exception of speech rate and gaze aversion, these cues do not explain why individuals are attracted to one another, at least not in an open conversation in which people have to get to know each other. This is in contrast with ample research that highlights the importance of nonverbal cues in relationship initiation and development (e.g., Babin, 2013; Burgoon et al, 1999; Ray & Floyd, 2006). However, a recent study by Ta, Babcock, and Ickes (2016), that also examined nonverbal behavior in initial interactions, found that nonverbal behaviors like smiling, gaze, and head nods did not impact the outcomes of the interactions.…”

“…Pitch variation was measured by taking the average variance of the total pitch and was measured in semitones (Boersma, 2004). More specifically, an average (statistical mean) was calculated for pitch, with the distribution about the mean (slope) indicating pitch variation (Ray & Floyd, 2006). Vocal expressiveness in the form of increased vocal pitch variation has been studied before as a measure of communicators’ positive evaluations of one another (e.g., Coker & Burgoon, 1987; Ray & Floyd, 2006).…”

How Do You Like Your Virtual Agent?: Human-Agent Interaction Experience through Nonverbal Features and Personality Traits

“…People who like Poppy more, do not move their head away from screen a lot. This result is also related to findings on likeness in human-human interaction, showing how people show more direct eye contact to liked partner [24].…”

“…Moreover, to improve prediction of experience additional nonverbal features are considered to be exported: to improve prediction of likeness e.g. eye shifts and eye contact could be useful [24], and to improve quality of interaction overlapped speech segments could be significant. Instead of using self-reported personality scores as inputs of our regression models, we plan to build computational models which predict personality from audio-visual data.…”

“…Other significant behaviors are: expressiveness of the face and the amount of activity in movement and gesture, synchrony of movement and speech, and expressiveness of the face and gesturing. Another cross-study [24] examined only kinesics and vocalic behaviors. Results show how increased pitch variety is associated with female actors, whereas interesting effect is noticed for loudness and length of talking, which decrease over interaction time.…”