The Efficacy of Psychophysiological Measures for Implementing Adaptive Technology

By W. Mark, G. Frederick, J. Peter, P. Raja, N. Di, Iii Lawrence J. Prinzel. 2001

109 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bdc10f21b063d9ee0e6b7b2d9a6fc856462bb896

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Francesco Di Nocera
2. Marco Camilli
3. Raja Parasuraman
4. Michela Terenzi
5. C. Wickens
6. Dietrich Manzey
7. Thomas B. Sheridan
8. Stephanie M. Merritt

Citations in the corpus

• A Random Glance at the Flight Deck: Pilots' Scanning Strategies and the Real-Time Assessment of Mental Workload (2007, background): “Psychophysiological measures are among the best indices because they provide information on the ongoing functional state of the operator (Scerbo et al., 2001).”
• Neuroergonomics: Research and practice (2003, background): “Although mental workload can be measured using a number of different techniques (Byrne and Parasuraman 1996), measures of brain function offer particular benefits for use in adaptive systems (Scerbo et al. 2001, Parasuraman and Caggiano 2002).”