An evaluation of earcons for use in auditory human-computer interfaces
INTERCHI '93 Proceedings of the INTERCHI '93 conference on Human factors in computing systems
Semi-autonomous Navigation of a Robotic Wheelchair
Journal of Intelligent and Robotic Systems
Wheelesley: A Robotic Wheelchair System: Indoor Navigation and User Interface
Assistive Technology and Artificial Intelligence, Applications in Robotics, User Interfaces and Natural Language Processing
Tactons: structured tactile messages for non-visual information display
AUIC '04 Proceedings of the fifth conference on Australasian user interface - Volume 28
Effectiveness of directional vibrotactile cuing on a building-clearing task
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Parametric Orchestral Sonification of EEG in Real Time
IEEE MultiMedia
You are wrong!: automatic detection of interaction errors from brain waves
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Egocentric and exocentric teleoperation interface using real-time, 3D video projection
Proceedings of the 4th ACM/IEEE international conference on Human robot interaction
Brain-coupled interaction for semi-autonomous navigation of an assistive robot
Robotics and Autonomous Systems
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This paper presents a comparison between six different ways to convey navigational information provided by a robot to a human. Visual, auditory, and tactile feedback modalities were selected and designed to suggest a direction of travel to a human user, who can then decide if he agrees or not with the robot's proposition. This work builds upon a previous research on a novel semi-autonomous navigation system in which the human supervises an autonomous system, providing corrective monitoring signals whenever necessary. We recorded both qualitative (user impressions based on selected criteria and ranking of their feelings) and quantitative (response time and accuracy) information regarding different types of feedback. In addition, a preliminary analysis of the influence of the different types of feedback on brain activity is also shown. The result of this study may provide guidelines for the design of such a human-robot interaction system, depending on both the task and the human user.