1 research outputs found
Automated Dyadic Data Recorder (ADDR) Framework and Analysis of Facial Cues in Deceptive Communication
We developed an online framework that can automatically pair two
crowd-sourced participants, prompt them to follow a research protocol, and
record their audio and video on a remote server. The framework comprises two
web applications: an Automatic Quality Gatekeeper for ensuring only high
quality crowd-sourced participants are recruited for the study, and a Session
Controller which directs participants to play a research protocol, such as an
interrogation game. This framework was used to run a research study for
analyzing facial expressions during honest and deceptive communication using a
novel interrogation protocol. The protocol gathers two sets of nonverbal facial
cues in participants: features expressed during questions relating to the
interrogation topic and features expressed during control questions. The
framework and protocol were used to gather 151 dyadic conversations (1.3
million video frames). Interrogators who were lied to expressed the
smile-related lip corner puller cue more often than interrogators who were
being told the truth, suggesting that facial cues from interrogators may be
useful in evaluating the honesty of witnesses in some contexts. Overall, these
results demonstrate that this framework is capable of gathering high quality
data which can identify statistically significant results in a communication
study