Now showing items 1-5 of 5

    • Better be reactive at the beginning. Implications of the first seconds of an encounter for the tutoring style in human-robot-interaction 

      Pitsch, K.; Wrede, B.; Lohan, K.S.; Rohlfing, K.; Saunders, J.; Nehaniv, C.L. (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      The paper investigates the effects of a robot's on-line feedback during a tutoring situation with a human tutor. Analysis is based on a study conducted with an iCub robot that autonomously generates its feedback (gaze, ...
    • Contingency allows the robot to spot the tutor and to learn from interaction 

      Fischer, K.; Saunders, J.; Lehmann, H.; Nehaniv, C.L.; Lohan, K.S.; Pitsch, K.; Rohlfing, K.J.; Wrede, B. (Institute of Electrical and Electronics Engineers (IEEE), 2011-01-01)
      Aiming at artificial system learning from a human tutor elicit tutoring behavior, which we implemented on the robotic platform iCub. For the evaluation of the system with users, we considered a contingency module that is ...
    • Contingency scaffolds language learning 

      Lohan, K.S.; Rohlfing, K.; Saunders, J.; Nehaniv, C.L.; Wrede, B. (Institute of Electrical and Electronics Engineers (IEEE), 2012)
      In human robot interaction the question how to communicate is an important one. The answer to this question can be approached through several perspectives. One approach to study the best way how a robot should behave in ...
    • Temporal emphasis for goal extraction in task demonstration to a humanoid robot by naive users 

      Theofilis, K.; Lohan, K.S.; Nehaniv, C.L.; Dautenhahn, K.; Werde, B. (Institute of Electrical and Electronics Engineers (IEEE), 2013)
      Goal extraction in learning by demonstration is a complex problem. A novel approach, inspired by developmental psychology and focused on use in experiments with naive users, is presented in this paper. Participants were ...
    • Tutor Spotter : Proposing a Feature Set and Evaluating It in a Robotic System 

      Lohan, K.S.; Rohlfing, K.J.; Pitsch, K.; Saunders, J.; Lehmann, H.; Nehaniv, C.L.; Fischer, K.; Wrede, B. (2012-04-01)
      From learning by observation, robotic research has moved towards investigations of learning by interaction. This research is inspired by findings from developmental studies on human children and primates pointing to the ...