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Full-Text Articles in Physical Sciences and Mathematics
The Effect Of Conversational Agent Skill On User Behavior During Deception, Ryan M. Schuetzler, G. Mark Grimes, Justin Scott Giboney
The Effect Of Conversational Agent Skill On User Behavior During Deception, Ryan M. Schuetzler, G. Mark Grimes, Justin Scott Giboney
Information Systems and Quantitative Analysis Faculty Publications
Conversational agents (CAs) are an integral component of many personal and business interactions. Many recent advancements in CA technology have attempted to make these interactions more natural and human-like. However, it is currently unclear how human-like traits in a CA impact the way users respond to questions from the CA. In some applications where CAs may be used, detecting deception is important. Design elements that make CA interactions more human-like may induce undesired strategic behaviors from human deceivers to mask their deception. To better understand this interaction, this research investigates the effect of conversational skill—that is, the ability of the …
Man Vs. Machine: Investigating The Effects Of Adversarial System Use On End-User Behavior In Automated Deception Detection Interviews, Jeffrey Gainer Proudfoot, Randall Boyle, Ryan M. Schuetzler
Man Vs. Machine: Investigating The Effects Of Adversarial System Use On End-User Behavior In Automated Deception Detection Interviews, Jeffrey Gainer Proudfoot, Randall Boyle, Ryan M. Schuetzler
Information Systems and Quantitative Analysis Faculty Publications
Deception is an inevitable component of human interaction. Researchers and practitioners are developing information systems to aid in the detection of deceptive communication. Information systems are typically adopted by end users to aid in completing a goal or objective (e.g., increasing the efficiency of a business process). However, end-user interactions with deception detection systems (adversarial systems) are unique because the goals of the system and the user are orthogonal. Prior work investigating systems-based deception detection has focused on the identification of reliable deception indicators. This research extends extant work by looking at how users of deception detection systems alter their …
Kinesic Patterning In Deceptive And Truthful Interactions, Judee K. Burgoon, Ryan M. Schuetzler, David W. Wilson
Kinesic Patterning In Deceptive And Truthful Interactions, Judee K. Burgoon, Ryan M. Schuetzler, David W. Wilson
Information Systems and Quantitative Analysis Faculty Publications
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 …
Facilitating Natural Conversational Agent Interactions: Lessons From A Deception Experiment, Ryan M. Schuetzler, Mark Grimes, Justin Scott Giboney, Joesph Buckman
Facilitating Natural Conversational Agent Interactions: Lessons From A Deception Experiment, Ryan M. Schuetzler, Mark Grimes, Justin Scott Giboney, Joesph Buckman
Information Systems and Quantitative Analysis Faculty Proceedings & Presentations
This study reports the results of a laboratory experiment exploring interactions between humans and a conversational agent. Using the ChatScript language, we created a chat bot that asked participants to describe a series of images. The two objectives of this study were (1) to analyze the impact of dynamic responses on participants’ perceptions of the conversational agent, and (2) to explore behavioral changes in interactions with the chat bot (i.e. response latency and pauses) when participants engaged in deception. We discovered that a chat bot that provides adaptive responses based on the participant’s input dramatically increases the perceived humanness and …