39 research outputs found
Motor Learning Skill Experiments using Haptic Interface capabilities
No full textThis paper investigated the influence that proportional feedback programmed into haptic interface (HI) can have in the development of motor skills. The haptic interface design, adapted to the task to be performed, plays a key role inside motor learning processes as the kinesthetic and proprioceptive are the information pathway in the perception of incoming stimuli. Subjects learned to draw a shape using two kinds of training methods: visual, visual and haptic. The error position distance was measured and a statistical analysis was done in order to identify user's motion improvement when training trials were alternated with practice trials. In order to constraint the user to draw a predefined path, a control law is presented
REACTIVE ROBOT SYSTEM USING A HAPTIC INTERFACE: AN ACTIVE INTERACTION TO TRANSFER SKILLS FROM THE ROBOT TO UNSKILLED PERSONS
No full textThis paper is concerned with the reactive robot system (RRS) which has been introduced
as a novel way of approaching human–robot interactions by exploiting the capabilities of haptic
interfaces to transfer skills (from the robot to unskilled persons). The RRS was implemented based on
two levels of interaction. The first level, which implements the first two stages of the learning process,
represents the conventional control way of interchanging a set of forces in response to a static read
of the contact position of some pre-defined dynamic rules (passive interaction). The second level,
which implements the last stage of the learning process, represents an enhanced way of interaction
between haptic interfaces and humans. This level adds to robotic system a degree of intelligence which
enables the robot to dynamically adapt its behavior depending on user wishes (active interaction). In
particular, in this paper, the implementation of the second level of the RRS is described in detail.
A set of experiments was performed, applied to Japanese handwriting, to verify if second level of
the RRS can interact with humans during the autonomous stage of the learning process. The results
demonstrated that our system can still provide assistance to users on the autonomous stage while
mostly respecting their intentions without significantly affecting their performance
Closing and Closure in Human-Companion Interactions: Analyzing Video Data from a Field Study
No full textA field study with a simple robotic companion is being undertaken in three iterations in the framework of a EU FP7 research project. The interest of this study lies in its design: the robotic interface setup is installed in the subjects' homes and video data are collected during ten days. This gives the rare opportunity to study the development of human-robot relationships over time, and the integration of companion technologies into everyday life. This paper outlines the qualitative inductive approach to data analysis, and discusses selected results. The focus here is on the interactional mechanisms of bringing conversations to an end. The paper distinguishes between "closing" as the conversational mechanism for doing this, and "closure" as the social norm that motivates it. We argue that this distinction is relevant for interaction designers insofar as they have to be aware of the compelling social norms that are invoked by a companion's conversational behaviour
