Home // ACHI 2021, The Fourteenth International Conference on Advances in Computer-Human Interactions // View article
Quantitative Scoring System to Assess Performance in Experimental Environments
Authors:
Ron Becker
Sophie-Marie Stasch
Alina Schmitz-Hübsch
Sven Fuchs
Keywords: behavioral processes, cognitive processes, human machine interaction, command-and-control, quantitative performance metrics, signal detection theory
Abstract:
A quantitative scoring mechanism based on signal detection theory was developed in the context of an experimental command-and-control environment. The scoring approach was designed to include well-established evaluation criteria of performance metrics and to enable insights into various cognitive and behavioral processes of the subjects. Cognitive processes on a perceptual, sensory, and motor level were linked to subtasks similar to the warship commander task. Signal detection theory provides a theoretical rationale for the quantitative scoring mechanism. Due to the generalizability of the scoring approach, a flexible application to a wide range of experimental tasks should be possible. Considerations and lessons learned are discussed.
Pages: 91 to 96
Copyright: Copyright (c) IARIA, 2021
Publication date: July 18, 2021
Published in: conference
ISSN: 2308-4138
ISBN: 978-1-61208-870-9
Location: Nice, France
Dates: from July 18, 2021 to July 22, 2021