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Article
Facilitating Natural Conversational Agent Interactions: Lessons from a Deception Experiment
ICIS 2014 Proceedings
  • Ryan Schuetzler, University of Arizona, Tucson, AZ, United States.
  • Mark Grimes, University of Arizona, Tucson, AZ, United States.
  • Justin Giboney, University at Albany, SUNY, Albany, NY, United States.
  • Joseph Buckman, University of Arizona, Tucson, AZ, United States.
Location
260-057, Owen G. Glenn Building
Start Date
12-15-2014
Description

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 engagement of the conversational agent. Deceivers interacting with a dynamic chat bot exhibited consistent response latencies and pause lengths while deceivers with a static chat bot exhibited longer response latencies and pause lengths. These results give new insights on social interactions with computer agents during truthful and deceptive interactions.

Citation Information
Ryan Schuetzler, Mark Grimes, Justin Giboney and Joseph Buckman. "Facilitating Natural Conversational Agent Interactions: Lessons from a Deception Experiment" (2014)
Available at: http://works.bepress.com/rschuetzler/4/