Advertisement
Published in:
2011 | OriginalPaper | Chapter
Relational Agents Improve Engagement and Learning in Science Museum Visitors
Authors : Timothy Bickmore, Laura Pfeifer, Daniel Schulman
Published in: Intelligent Virtual Agents
Publisher: Springer Berlin Heidelberg
Activate our intelligent search to find suitable subject content or patents.
Select sections of text to find matching patents with Artificial Intelligence. powered by
Select sections of text to find additional relevant content using AI-assisted search. powered by
A virtual museum guide agent that uses human relationship-building behaviors to engage museum visitors is described. The agent, named “Tinker”, appears in the form of a human-sized anthropomorphic robot, and uses nonverbal conversational behavior, empathy, social dialogue, reciprocal self-disclosure and other relational behavior to establish social bonds with users. Tinker can describe exhibits in the museum, give directions, and discuss technical aspects of her own implementation. Results from an experiment involving 1,607 visitors indicate that the use of relational behavior leads to significantly greater engagement by museum visitors, measured by session length, number of sessions, and self-reported attitude, as well as learning gains, as measured by a knowledge test, compared to the same agent that did not use relational behavior. Implications for museum exhibits and intelligent tutoring systems are discussed.