  Human trust research uncovered important catalysts for trust building between
interaction partners such as appearance or cognitive factors. The introduction
of robots into social interactions calls for a reevaluation of these findings
and also brings new challenges and opportunities. In this paper, we suggest
approaching trust research in a circular way by drawing from human trust
findings, validating them and conceptualizing them for robots, and finally
using the precise manipulability of robots to explore previously less-explored
areas of trust formation to generate new hypotheses for trust building between
agents.
