Dynamic interpersonal processes at work: Taking social interactions seriously
N Lehmann-Willenbrock - Annual Review of Organizational …, 2024 - annualreviews.org
Dynamic interpersonal processes are the core foundation of many phenomena of interest to
organizational psychology and organizational behavior scholars. This article views the …
organizational psychology and organizational behavior scholars. This article views the …
A review and future agenda for behavioral research on leader–follower interactions at different temporal scopes
Scholars are increasingly embracing innovative research designs and measures to capture
actual leader and/or follower behaviors in real interactions. Our systematic review of this …
actual leader and/or follower behaviors in real interactions. Our systematic review of this …
Ego4d: Around the world in 3,000 hours of egocentric video
We introduce Ego4D, a massive-scale egocentric video dataset and benchmark suite. It
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …
offers 3,670 hours of daily-life activity video spanning hundreds of scenarios (household …
How attention gates social interactions
Social interactions are at the core of social life. However, humans selectively choose their
exchange partners and do not engage in all available opportunities for social encounters. In …
exchange partners and do not engage in all available opportunities for social encounters. In …
Detecting low rapport during natural interactions in small groups from non-verbal behaviour
Rapport, the close and harmonious relationship in which interaction partners are" in sync"
with each other, was shown to result in smoother social interactions, improved collaboration …
with each other, was shown to result in smoother social interactions, improved collaboration …
Analyzing multifunctionality of head movements in face-to-face conversations using deep convolutional neural networks
K Otsuka, M Tsumori - IEEE Access, 2020 - ieeexplore.ieee.org
A functional head-movement corpus and convolutional neural networks (CNNs) for detecting
head-movement functions are presented for analyzing the multiple communicative functions …
head-movement functions are presented for analyzing the multiple communicative functions …
Co-Located Human–Human Interaction Analysis Using Nonverbal Cues: A Survey
Automated co-located human–human interaction analysis has been addressed by the use of
nonverbal communication as measurable evidence of social and psychological phenomena …
nonverbal communication as measurable evidence of social and psychological phenomena …
Interactions for socially shared regulation in collaborative learning: an interdisciplinary multimodal dataset
Socially shared regulation plays a pivotal role in the success of collaborative learning.
However, evaluating socially shared regulation of learning (SSRL) proves challenging due …
However, evaluating socially shared regulation of learning (SSRL) proves challenging due …
Tedic: Neural modeling of behavioral patterns in dynamic social interaction networks
Dynamic social interaction networks are an important abstraction to model time-stamped
social interactions such as eye contact, speaking and listening between people. These …
social interactions such as eye contact, speaking and listening between people. These …
Multi-modal feature fusion for better understanding of human personality traits in social human–robot interaction
Since the dynamic nature of human–robot interaction becomes increasingly prevalent in our
daily life, there is a great demand for enabling the robot to better understand human …
daily life, there is a great demand for enabling the robot to better understand human …