Paper Info
Title
On Interaction Quality In Human-Robot Interaction
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.
Year
DOI
Venue
2017
10.5220/0006191601820189
ICAART: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1
Keywords
Field
DocType
Human-Robot Interaction, Evaluation, Performance
Computer science,Human–computer interaction,Artificial intelligence,Robot,Human–robot interaction,Machine learning,Robotics
Conference
Citations 
PageRank 
References 
2
0.64
10
Authors
3
Name
Order
Citations
PageRank
Suna Bensch14214.67
Aleksandar Jevtic28210.40
Thomas Hellström36410.98