2016 · 10 citations · 18 references
EngineeringComputer ScienceRobotics EngineeringHuman-computer InteractionHuman-robot InteractionRoboticsGesture RecognitionHuman-machine InteractionHuman-robot CollaborationHuman-robot Interaction EvaluationInterface DesignMultimodal InteractionGesture Recognition In Human-robot InteractionHand GesturesHuman-robot Assembly CollaborationHuman-robot Collaboration In AssemblyMultimodal Human-robot InteractionPointingRecognition ErrorsRobot Programming
This paper presents results of an exploratory study comparing various modalities employed in an industrial-like robot-human shared workplace. Experiments involved 39 participants who used a touch table, a touch display, hand gestures, a 6D pointing device, and a robot arm to show the robot how to assemble a simple product. To rule out a potential dependence of results on the number of misrecognized actions (resulting, e.g., from unreliable gesture recognition), a controlled amount of interaction errors was introduced. A Wizard-of-Oz setting with three user groups differing in the amount of simulated recognition errors helped us to show that hand gestures and 6D pointing are the fastest modalities that are also generally preferred by users for setting parameters of certain robot operations.
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Deep Speech: Scaling up end-to-end speech recognition
arXiv (Cornell University) · 2014 · 1.5K citations · Full text
Scott Klemmer, Anoop Kumar Sinha, Jack Chen et al. · 2000 · 229 citations