An experimental study of parameters influencing physical Human-Robot negotiation in comanipulative tracking task
Lucas Roche, Anish Monachan, Ludovic Saint-Bauzel
- Year
- 2019
- Citations
- 2
Abstract
The present paper investigates the relationship between human and virtual partners’ behaviors during a comanipulative task requiring negotiation. More precisely, the study is focused on the influence of the Virtual Partner’s (which was designed in a previous study) propensity to take the lead during conflicts over its human partner behavior. The experimental design includes both Human-Human and Human-Robot trials. The Human-Human trials serve as a baseline condition and help assessing the importance of the partner’s nature (human vs robot) knowledge in the subjects behavior. The Human-Robot trials are used to observe the effect of different tuning of the Virtual Partner on the dominance relationship within Human-Robot dyads. The results of the study show that Human behavior is consistent across Human-Human trials, and is not influenced by the knowledge of their partner’s nature. Moreover, a simple tuning of the negotiation thresholds of the Virtual Partner allows to significantly modify the dominance of the human partner, although this modification has no lasting effects.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002