- author = "Roger Lew and Brian P. Dyre and Terence Soule and Stuart A. Ragsdale and Steffen Werner",
- title = "Assessing Mental Workload from Skin Conductance and Pupillometry using Wavelets and Genetic Programming",
- booktitle = "Proceedings of the Human Factors and Ergonomics Society Annual Meeting",
- year = "2010",
- volume = "54",
- number = "3",
- pages = "254--258",
- address = "San Francisco, USA",
- month = "27 " # sep # " - 1 " # oct,
- organisation = "Human Factors and Ergonomics Society",
- publisher = "Sage",
- keywords = "genetic algorithms, genetic programming, augmented cognition",
- isbn13 = "978-0-945289-37-1",
-
DOI = "
doi:10.1177/154193121005400315",
- abstract = "An essential component of augmented cognition (AC) is developing robust methods of extracting reliable and meaningful information from physiological measures in real-time. To evaluate the potential of skin conductance (SC) and pupil diameter (PD) measures, we used a dual-axis pursuit tracking task where the control mappings repeatedly and abruptly rotated 90degree throughout the trials to provide an immediate and obvious challenge to proper system control. Using these data, a model-building technique novel to these measures, genetic programming (GP) with scaled symbolic regression and Age Layered Populations (ALPS), was compared to traditional linear discriminant analysis (LDA) for predicting tracking error and control-mapping state. When compared with traditional linear modelling approaches, symbolic regression better predicted both tracking error and control mapping state. Furthermore, the estimates obtained from symbolic regression were less noisy and more robust.",
-
notes = "1 Department of Psychology and Communication Studies.
2 Department of Computer Science University of Idaho
Moscow,
ID
http://hcibib.org/bibtoc.cgi?file=ftp/HFES10*",
