Predicting the Impressions of Interaction with a Robot from Physical Actions Using AICO-Corpus Annotations.
Ayaka FujiiKristiina JokinenPublished in: RO-MAN (2023)
Keyphrases
- human robot interaction
- simulated robot
- physical world
- human robot
- mobile robot
- goal directed
- emotional state
- physical space
- human operators
- action selection
- physical objects
- sensory inputs
- human beings
- vision system
- virtual space
- inter annotator agreement
- predicting future
- perceptual aliasing
- metadata
- interacting agents
- sensory information
- world model
- cognitive agents
- real world
- human computer interaction
- physical constraints
- real environment
- manually annotated
- gene ontology
- human interaction
- robot navigation
- group activities
- path planning
- humanoid robot
- robotic systems
- decision theoretic
- behavioral patterns
- human actions
- motion planning
- image annotation
- service robots
- semantic annotation
- autonomous robots
- object manipulation
- natural language
- position and orientation
- human machine interaction