Kinesic Patterning in Deceptive and Truthful Interactions

A persistent question in the deception literature has been the extent to which nonverbal behaviors can reliably distinguish between truth and deception. It has been argued that deception instigates cognitive load and arousal that are betrayed through visible nonverbal indicators. Yet, empirical evidence has often failed to find statistically significant or strong relationships. Given that interpersonal message production is characterized by a high degree of simultaneous and serial patterning among multiple behaviors, it may be that patterns of behaviors are more diagnostic of veracity. Or it may be that the theorized linkage between internal states of arousal, cognitive taxation, and efforts to control behavior and nonverbal behaviors are wrong. The current investigation addressed these possibilities by applying a software program called THEME to analyze the patterns of kinesic movements (adaptor gestures, illustrator gestures, and speaker and listener head movements) rated by trained coders for participants in a mock crime experiment. Our multifaceted analysis revealed that the quantity and quality of patterns distinguish truths from untruths. Quantitative and qualitative analyses conducted by case and condition revealed high variability in the types and complexities of patterns that were produced and differences between truthful and deceptive respondents questioned about a theft. Patterns incorporating adaptors and illustrator gestures were correlated in counterintuitive ways with arousal, cognitive load, and behavioral control, and qualitative analyses produced unique insights into truthful and untruthful communication

The Interaction of Research Methods for System Evaluation and Theory Testing: A New Vision of the Benefits of Multi-Methodological Information Systems Research

A number of multi-methodological Information Systems research frameworks have been proposed to guide research in the IS field. In this paper, we describe a three-year program of research evaluating a computer- based training system for deception detection (Agent99 Trainer) using one such multi-methodological IS framework. The process and results of this research program clearly demonstrate the benefits of combining and triangulating multiple research methods. Moreover, through the experiences in the Agent99 Trainer study, we discover two different types of interactions between the research methods that were applied in this study. One of the interactions is between the results from different methods, while the other is between the results and the methods themselves. Hence, we propose an extended interpretation of multi-methodological IS research frameworks to incorporate these two types of interactions between research methods. We argue that this extended interpretation will provide a more specific explanation for why the triangulation among multiple research methods can provide benefits to IS research

Virtual Interaction for Effective E-Learning

This research investigates whether information technologies, such as automated question answering (QA), can add interactivity into a multimedia-based e-learning system, as well as how this type of virtual interaction affects the effectiveness of e-learning. Based on a review of multiple learning theories and technologies, an exploratory model for studying the effectiveness of interactive e-learning, Learning with Virtual Mentors (LVM), is proposed and a prototype system is developed to implement the LVM model. A series of studies, including a controlled experiment and surveys, have been conducted to explore the relationships among the core constructs of the LVM model: learning phases, system interactivity, learning activity, and learning outcomes. Findings indicate that virtual interaction positively impacts student behaviors by encouraging students to interact more and increasing student satisfaction with the learning process; however, the correlation between virtual interaction and actual learning performance is limited. Consequently, the LVM model needs to be further explored and developed

Deceptive Language by Innocent and Guilty Criminal Suspects: The Influence of Dominance, Question, and Guilt on Interview Responses

Matthew L. Jensen is an assistant professor in the Price College of Business and a researcher in the Center for Applied Social Research at the University of Oklahoma. His primary research interests are deception and credibility in online and face-to-face interaction. Recent publications have dealt with computer-aided deception detection and establishing credibility online.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline