ABSTRACT
Haptic-audio interfaces allow haptic exploration of statistical line graphs accompanied by sound or speech, thus providing access to exploration by visually impaired people. Verbally assisted haptic graph exploration can be seen as a task-oriented collaborative activity between two partners, a haptic explorer and an observing assistant, who are disposed to individual preferences for using reference frames. The experimental findings reveal that haptic explorers' spatial reference frames are mostly induced by hand movements, leading to action perspective instead of conventionally left-to-right spatiotemporal perspective. Moreover, the communicational goal may result in a switch in perspective.
Subject(s)
Attention/physiology , Communication , Comprehension/physiology , Space Perception/physiology , Touch Perception/physiology , Touch , Adult , Female , Goals , Humans , Male , Verbal Behavior , Young AdultABSTRACT
To build effective interactions between humans and robots, they should have common ground of understanding that creates realistic expectations and forms the basis communications. An emerging approach to doing this is to create cognitive models of human reasoning and behavior selection. We have developed a robot navigation system that uses both spatial language and graphical representation to describe route-based navigation tasks for a mobile robot. Our proposed route instruction language (RIL) is intended as a semi-formal language for instructing the robot to execute a route in an indoor environment. We implemented an instruction interpreter to process the route description and generate its equivalent symbolic and topological map representations. A topological map is generated to describe relationships among features of the environment in a more abstract form without any absolute reference system to treat the ambiguity which can occur when the robot cannot recognize the current landmark. The symbolic and topological map representations are supplied to other system components as an initial path estimation to guide the robot while it plans its navigation task. We conducted some experiments to evaluate the routes which are written by using the RIL instructions.