Automated Dyadic Data Recorder (ADDR) Framework and Analysis of Facial Cues in Deceptive Communication
Tayan Sen, Md Kamrul Hasan, Zach Teicher, M. Ehsan Hoque

TL;DR
This paper introduces an online framework for remote dyadic data collection and analyzes facial cues in deceptive communication, revealing potential facial indicators of lying in interrogator responses.
Contribution
The paper presents a novel automated framework for remote dyadic data collection and a protocol for analyzing facial cues during deception, enabling large-scale, high-quality data gathering.
Findings
Interrogators lied more with lip corner puller cues.
Framework successfully collected 151 dyadic conversations.
Facial cues can indicate deception in specific contexts.
Abstract
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…
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Taxonomy
TopicsDeception detection and forensic psychology · Psychopathy, Forensic Psychiatry, Sexual Offending · Authorship Attribution and Profiling
