Authors:
Suna Bensch
1
;
Aleksandar Jevtić
2
and
Thomas Hellström
1
Affiliations:
1
Umeå University, Sweden
;
2
Institut de Robòtica i Informàtica Industrial, CSIC-UPC, Spain
Keyword(s):
Human-Robot Interaction, Evaluation, Performance.
Related
Ontology
Subjects/Areas/Topics:
Agent Models and Architectures
;
Agents
;
Artificial Intelligence
;
Autonomous Systems
;
Cooperation and Coordination
;
Robot and Multi-Robot Systems
Abstract:
In many complex robotics systems, interaction takes place in all directions between human, robot, and environment. Performance of such a system depends on this interaction, and a proper evaluation of a system must build on a proper modeling of interaction, a relevant set of performance metrics, and a methodology to combine metrics into a single performance value. In this paper, existing models of human-robot interaction are adapted to fit complex scenarios with one or several humans and robots. The interaction and the evaluation process is formalized, and a general method to fuse performance values over time and for several performance metrics is presented. The resulting value, denoted interaction quality, adds a dimension to ordinary performance metrics by being explicit about the interplay between performance metrics, and thereby provides a formal framework to understand, model, and address complex aspects of evaluation of human-robot interaction.