1887
Volume 11, Issue 2
  • ISSN 1572-0373
  • E-ISSN: 1572-0381
USD
Buy:$35.00 + Taxes

Abstract

Making interactions between humans and artificial agents successful is a major goal of interaction design. The aim of this paper is to provide researchers conducting interaction studies a new framework for the evaluation of robot believability. By critically examining the ordinary sense of believability, we first argue that currently available notions of it are underspecified for rigorous application in an experimental setting. We then define four concepts that capture different senses of believability, each of which connects directly to an empirical methodology. Finally, we show how this framework has been and can be used in the construction of interaction studies by applying it to our own work in human–robot interaction.

Loading

Article metrics loading...

/content/journals/10.1075/is.11.2.21ros
2010-01-01
2025-04-19
Loading full text...

Full text loading...

/content/journals/10.1075/is.11.2.21ros
Loading
  • Article Type: Research Article
This is a required field
Please enter a valid email address
Approval was successful
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error