Evolutionary Based Adaptive User Interfaces in Complex Supervisory Tasks

Humans and computers form teams in complex environments such as in aviation, glass cockpit, nuclear power plants, manufacturing lines, and command and control scenarios. The computers generally undertake the automation part while the human is responsible for the supervision of the overall task or interrupts the process at the higher level. Task sharing is generally done at design time, using Fitts list (Fitts, 1951). Automation was thought to be the remedy to the problems resulting from human errors. aBsTracT

[1]  David Benyon,et al.  Applying user modeling to human-computer interaction design , 1993, Artificial Intelligence Review.

[2]  Hideyuki Takagi,et al.  Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation , 2001, Proc. IEEE.

[3]  Penelope M. Sanderson,et al.  Process monitoring and configural display design: A neuroimaging study , 2003 .

[4]  Thomas B. Sheridan,et al.  Space teleoperation through time delay: review and prognosis , 1993, IEEE Trans. Robotics Autom..

[5]  Walter Anheier,et al.  Efficient Training Algorithm for Neuro-Fuzzy Network and its Application to Nonlinear Sensor Characteristic Linearization , 2010, Intelligent Systems for Automated Learning and Adaptation.

[6]  Anthony F. Norcio,et al.  Adaptive human-computer interfaces: a literature survey and perspective , 1989, IEEE Trans. Syst. Man Cybern..

[7]  Gary G. Yen,et al.  Dynamic multiobjective evolutionary algorithm: adaptive cell-based rank and density estimation , 2003, IEEE Trans. Evol. Comput..

[8]  P. S. Sastry,et al.  Varieties of learning automata: an overview , 2002, IEEE Trans. Syst. Man Cybern. Part B.

[9]  Gary G. Yen,et al.  PSO-Based Multiobjective Optimization With Dynamic Population Size and Adaptive Local Archives , 2008, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[10]  Michael J. Pazzani,et al.  Learning and Revising User Profiles: The Identification of Interesting Web Sites , 1997, Machine Learning.

[11]  William B. Rouse,et al.  An Architecture for Intelligent Interfaces: Outline of an Approach to Supporting Operators of Complex Systems , 1987, Hum. Comput. Interact..

[12]  Raymond Chiong Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications , 2010, Intelligent Systems for Automated Learning and Adaptation.

[13]  Gary G. Yen,et al.  Rank-density-based multiobjective genetic algorithm and benchmark test function study , 2003, IEEE Trans. Evol. Comput..

[14]  Peter Brusilovsky,et al.  Methods and techniques of adaptive hypermedia , 1996, User Modeling and User-Adapted Interaction.

[15]  Gavriel Salvendy,et al.  Analytical modeling and experimental study of human workload in scheduling of advanced manufacturing systems , 1994 .

[16]  J. G. Hollands,et al.  Engineering Psychology and Human Performance , 1984 .