• Corpus ID: 15233933

Eye Gazing Behaviors in Online Deception

@inproceedings{Pak2013EyeGB,
  title={Eye Gazing Behaviors in Online Deception},
  author={Jinie Pak and Lina Zhou},
  booktitle={Americas Conference on Information Systems},
  year={2013}
}
Psychophysiological behaviors of deceivers have been used as an effective leakage channel of face-toface deception. Among various psychophysiological behaviors, eye movement has been identified as one of the most reliable sources of deception behavior in face-to-face communication. However, empirical studies of eye movement behavior in online deception remain scarce. In this research, we investigated eye gazing behaviors of deceivers in online video chatting. Based on the findings of previous… 

Figures and Tables from this paper

Deception Detection in Group Video Conversations using Dynamic Interaction Networks

The notion of Negative Interaction Networks (NINs) are proposed and created based on dynamic FFINs and NINs to detect deceivers from videos that are just 1 minute long and this method outperforms recent state-of-the-art computer vision, graph embedding, and ensemble methods in identifying deception from videos.

2 3 4 THE EFFECTS OF COMMUNICATION MEDIA AND 5 CULTURE ON DECEPTION DETECTION ACCURACY 1 6

As the world “gets smaller” and more people engage in cross-cultural communications, their ability to success20 fully separate truth from deception can be critically important. Yet it is challenging.

Eye tracking as a mean to detect feigned cognitive impairment in the Word Memory Test

Eye movement measures proved useful in enhancing the understanding of strategies utilized by the simulators and the cognitive processes that affect their behavior and it is hoped that they will encourage further research of these promising psychophysiological measures.

Detecting Deception from Gaze and Speech Using a Multimodal Attention LSTM-Based Framework

Results show that attentional LSTM networks are able to adequately model the gaze and speech feature sequences, outperforming a reference Support Vector Machine (SVM)-based system with compact features, suggesting that gaze and speeches carry complementary information for the task of deception detection that can be effectively exploited by using LSTMs.

Eye Tracking Metrics for Insider Threat Detection in a Simulated Work Environment

Findings from the present research suggest that ITs may show responses suggestive of strategic concealment of interest and emotional stress, which may provide the basis for a cognitive engineering approach to IT detection.

A Decade of NeuroIS Research

NeuroIS is a field in Information Systems (IS) that makes use of neuroscience and neurophysiological tools and knowledge to better understand the development, adoption, and impact of information and

Seeing and Believing: Social Influences on Language Processing

Real-time language processing is typically embedded in a complex social world. Any instance of language comprehension in such circumstances is imbued with many potential social cues that can

Eyetracking-Forschung in Wirtschaftsinformatik und Information Systems Research - Literaturanalyse und Anwendungspotenziale

Der vorliegende Beitrag untersucht den aktuellen Stand der Eyetra- cking-Forschung in der deutschsprachigen Wirtschaftsinformatik und im anglo- amerikanischen Disziplinpendant Information System

References

SHOWING 1-10 OF 38 REFERENCES

Eye Movements as Deception Indicators in Online Video Chatting

The preliminary results confirmed the effect of pupil dilation but did not yield any significant effect for blinking rate, which is a sign of deception in online video chatting.

Moderators of nonverbal indicators of deception: A meta-analytic synthesis.

In many legal proceedings, fact finders scrutinize the demeanor of a defendant or witness, particularly his or her nonverbal behavior, for indicators of deception. This meta-analysis investigated

Interpersonal deception: III. Effects of deceit on perceived communication and nonverbal behavior dynamics

Much past research on deception has examined it individually and noninteractively. Here we argue for broadening our understanding of deception by examining it as a dyadic and interactive event.

Individual Differences and Cues to Deception

In an extension of previous studies on deception and deception detection, the present research investigated the relations among individual differences, behavioral cues displayed when deceiving and

Verbal and nonverbal communication of deception

Learning to detect deception from three communication channels

A Lie Detection Test—a videotape of senders delivering truthful and deceptive messages—was administered to subjects via one of three channels: Face only, speech only, or face plus speech. Feedback

Effects of segmentation patterns on the perception of deception

Subjects viewed videotapes of truthful and deceptive messages. Channels presented were either face or body with or without speech. Subjects were instructed to segment each message into either large,

Mapping eye movements to cognitive processes

This thesis formalizes a new class of algorithms that provide fast and robust analysis of eye-movement data and provides a working system, EyeTracer, that embodies the proposed tracing and fixation-identification algorithms.

Lie experts' beliefs about nonverbal indicators of deception

Beliefs about behavioral clues to deception were investigated in 212 people, consisting of prisoners, police detectives, patrol police officers, prison guards, customs officers, and college students.

Effects of gaze on hiring, credibility, attraction and relational message interpretation

Two competing models of the social meaning and effects of eye gaze exist. One holds that different levels of eye gaze have clearly identifiable meanings that will yield main effects on such