Assessing Interaction Dynamics in the Context of Robot Programming by Demonstration
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In this paper we focus on human–robot interaction peculiarities that occur during programming by demonstration. Understanding what makes the interaction rewarding and keeps the user engaged helps optimize the robot’s learning. Two user studies are presented. The first one validates facially displayed expressions on the iCub robot. The best recognized displays are then used in a second study, along with other ways of providing feedback during teaching a manipulation task to a robot. We determine the preferred and more effective way of providing feedback in relation to the robot’s tactile sensing, in order to improve the teaching interaction and to keep the users engaged throughout the interaction.
KeywordsRobot programming by demonstration Robot facial displays Emotion expression Interaction dynamics Incremental learning
The research leading to these results has received funding from the Swiss National Science Foundation through the NCCR in Robotics, the European Community’s Seventh Framework Program FP7/2007-2013—Challenge 2—Cognitive Systems, Interaction, Robotics—under grant agreement no-[ROBOSKIN], and the European Union Seventh Framework Programme FP7/2007-2013 under grant agreement no 288533 ROBOHOW.COG.
- 1.Bartneck C, Reichenbach J, Breemen AV (2004) In your face, robot! The influence of a character’s embodiment on how users perceive its emotional expressions. In: Design and emotion 2004 conference Google Scholar
- 5.Brooke J (1996) SUS—a quick and dirty usability scale. In: Usability evaluation in industry, pp 189–194 Google Scholar
- 8.Cramer H, Goddijn J, Wielinga B, Evers V (2010) Effects of (in)accurate empathy and situational valence on attitudes towards robots. In: Proceedings of the 5th ACM/IEEE international conference on human–robot interaction, pp 141–142 Google Scholar
- 9.Dautenhahn K (1998) The art of designing socially intelligent agents—science, fiction and the human in the loop. Appl Artif Intell J 12:12–17 special issue on socially intelligent agents Google Scholar
- 10.Dautenhahn K, Werry I (2000) Issues of robot-human interaction dynamics in the rehabilitation of children with autism Google Scholar
- 11.Gielniak MJ, Thomaz AL (2011) Spatiotemporal correspondence as a metric for human-like robot motion. In: Proceedings of the 6th international conference on human–robot interaction, pp 77–84 Google Scholar
- 12.Giusti L, Marti P (2006) Interpretative dynamics in human robot interaction. In: Robot and human interactive communication, ROMAN, pp 111–116 Google Scholar
- 13.Hanson D (2005) Expanding the aesthetics possibilities for humanlike robots. In: Proc IEEE “Humanoid robotics” conference. special session on the Uncanny Valley Google Scholar
- 18.Likert R (1932) A technique for the measurement of attitudes. Arch Psychol 22(140):1–55 Google Scholar
- 22.Robins B, Dautenhahn K, Nehaniv CL, Mirza NA, Francois D, Olsson L (2005) Sustaining interaction dynamics and engagement in dyadic child-robot interaction kinesics: lessons learnt from an exploratory study. In: IEEE international workshop on ROMAN 2005, pp 716–722 Google Scholar