Measuring user behavior in a complex USAR team evaluation
Nanja Smets, Rosemarijn Looije
- Year
- 2012
- Citations
- 3
- Access
- Open access
Abstract
Performing urban search and rescue (USAR) is a stressful and high demand task. The rescuers can use an extra pair of eyes and ears in the field, especially in places where they themselves cannot go. A ground robot can support rescuers in their task. To develop such a ground robot high fidelity and realism testing is needed [1]. High fidelity evaluations are difficult to set up, because the circumstances need to be complex and truthful. In this paper we performed a complex team experiment in the USAR domain. We measured a large number of variables to assess participants’ performance, task load and emotion. This paper focuses on the question whether the analyses tools (Observer and FaceReader [2]) and measures gave an adequate indication of and insight in rescuers’ operations for a robot with two levels of automation (no versus partial).
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991