BEAT: the Behavior Expression Animation Toolkit
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Establishing and maintaining long-term human-computer relationships
ACM Transactions on Computer-Human Interaction (TOCHI)
A conversational agent as museum guide: design and evaluation of a real-world application
Lecture Notes in Computer Science
Interactive humanoid robots for a science museum
Proceedings of the 1st ACM SIGCHI/SIGART conference on Human-robot interaction
The identification of users by relational agents
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 1
'It's just like you talk to a friend' relational agents for older adults
Interacting with Computers
Receptionist or information kiosk: how do people talk with a robot?
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Ada and grace: toward realistic and engaging virtual museum guides
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
IVA'10 Proceedings of the 10th international conference on Intelligent virtual agents
AIED'11 Proceedings of the 15th international conference on Artificial intelligence in education
Relational agents improve engagement and learning in science museum visitors
IVA'11 Proceedings of the 10th international conference on Intelligent virtual agents
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Design principles for deploying agents designed for social and relational interactions with users in public spaces are discussed. These principles are applied to the development of a virtual science museum guide agent that uses human relationship-building behaviors to engage visitors. The agent 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. The agent also uses a biometric identification system so that it can re-identify visitors it has already talked to. Results from a preliminary study indicate that most users enjoy the conversational and relational interaction with the agent.