Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Structuring programs to support intelligent interfaces
Intelligent user interfaces
Decision making in intelligent user interfaces
Proceedings of the 2nd international conference on Intelligent user interfaces
Learning belief networks from data: an information theory based approach
CIKM '97 Proceedings of the sixth international conference on Information and knowledge management
Mental models of robotic assistants
CHI '02 Extended Abstracts on Human Factors in Computing Systems
Designing Sociable Robots
Development of a cognitive model of humans in a multi-agent framework for human-robot interaction
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Predicting Future User Actions by Observing Unmodified Applications
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Exploring importance of location and prior knowledge of environment on mobile robot control
International Journal of Human-Computer Studies
Sociable machines: expressive social exchange between humans and robots
Sociable machines: expressive social exchange between humans and robots
Human-robot interaction methodology
Human-robot interaction methodology
Foundations for a theory of mind for a humanoid robot
Foundations for a theory of mind for a humanoid robot
Toward adaptive conversational interfaces: Modeling speech convergence with animated personas
ACM Transactions on Computer-Human Interaction (TOCHI)
Exploring the design space for adaptive graphical user interfaces
Proceedings of the working conference on Advanced visual interfaces
A DCT-Gaussian classification scheme for human-robot interface
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
A feature ranking strategy to facilitate multivariate signal classification
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Human/robot interface for voice teleoperation of a robotic platform
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Assessment of adaptive human-robot interactions
Knowledge-Based Systems
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An understanding of how humans and robots can successfully interact to accomplish specific tasks is crucial in creating more sophisticated robots that may eventually become an integral part of human societies. A social robot needs to be able to learn the preferences and capabilities of the people with whom it interacts so that it can adapt its behaviors for more efficient and friendly interaction. Advances in human– computer interaction technologies have been widely used in improving human–robot interaction (HRI). It is now possible to interact with robots via natural communication means such as speech. In this paper, an innovative approach for HRI via voice-controllable intelligent user interfaces is described. The design and implementation of such interfaces are described. The traditional approaches for human–robot user interface design are explained and the advantages of the proposed approach are presented. The designed intelligent user interface, which learns user preferences and capabilities in time, can be controlled with voice. The system was successfully implemented and tested on a Pioneer 3-AT mobile robot. 20 participants, who were assessed on spatial reasoning ability, directed the robot in spatial navigation tasks to evaluate the effectiveness of the voice control in HRI. Time to complete the task, number of steps, and errors were collected. Results indicated that spatial reasoning ability and voice-control were reliable predictors of efficiency of robot teleoperation. 75% of the subjects with high spatial reasoning ability preferred using voice-control over manual control. The effect of spatial reasoning ability in teleoperation with voice-control was lower compared to that of manual control.