Activity theory and human-computer interaction
Context and consciousness
Activity theory as a potential framework for human-computer interaction research
Context and consciousness
Distributed cognition: toward a new foundation for human-computer interaction research
ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 2
BEAT: the Behavior Expression Animation Toolkit
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Precision timing in human-robot interaction: coordination of head movement and utterance
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Footing in human-robot conversations: how robots might shape participant roles using gaze cues
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Visual attention in spoken human-robot interaction
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
interactions
Recognizing engagement in human-robot interaction
Proceedings of the 5th ACM/IEEE international conference on Human-robot interaction
Expressing thought: improving robot readability with animation principles
Proceedings of the 6th international conference on Human-robot interaction
Conversational gaze mechanisms for humanlike robots
ACM Transactions on Interactive Intelligent Systems (TiiS)
Designing effective behaviors for educational embodied agents
CHI '12 Extended Abstracts on Human Factors in Computing Systems
ICSR'12 Proceedings of the 4th international conference on Social Robotics
Designing engagement-aware agents for multiparty conversations
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Learning-based modeling of multimodal behaviors for humanlike robots
Proceedings of the 2014 ACM/IEEE international conference on Human-robot interaction
| Hi-index | 0.00 |
Social interaction involves a large number of patterned behaviors that people employ to achieve particular communicative goals. To achieve fluent and effective humanlike communication, robots must seamlessly integrate the necessary social behaviors for a given interaction context. However, very little is known about how robots might be equipped with a collection of such behaviors and how they might employ these behaviors in social interaction. In this paper, we propose a framework that guides the generation of social behavior for humanlike robots by systematically using specifications of social behavior from the social sciences and contextualizing these specifications in an Activity-Theory-based interaction model. We present the Robot Behavior Toolkit, an open-source implementation of this framework as a Robot Operating System (ROS) module and a community-based repository for behavioral specifications, and an evaluation of the effectiveness of the Toolkit in using these specifications to generate social behavior in a human-robot interaction study, focusing particularly on gaze behavior. The results show that specifications from this knowledge base enabled the Toolkit to achieve positive social, cognitive, and task outcomes, such as improved information recall, collaborative work, and perceptions of the robot.