Title :
Learning in dynamic decision making: The usability process
Author :
Stanca, Liana ; Lacurezeanu, Ramona ; Felea, Cristina
Author_Institution :
Bus. Inf. Syst. Dept., Babes-Bolyai Univ., Cluj-Napoca, Romania
Abstract :
Usability of websites is an important issue for any entity operating in the virtual environment. Dynamic decision refers to the ability to choose (evaluate) between different actions at different points in time, in order to control and optimize performance. Currently, increasing attention is paid to the role of informal learning in the adaptation of learning to individual needs and circumstances in order to maximize knowledge. This paper approaches usability in the context of the theory of dynamic decisions. In the authors´ view, the usability evaluation of a website becomes efficient on condition that it is repeated over time with the same group of individuals, resulting in a learning situation. The experiment consisted of measuring usability on a sample of individuals (experts) at consecutive time points to determine the degree of similarity of their behavior during the evaluation process. Starting from these assumptions, we demonstrated that usability may be considered a dynamic process, which could be very useful in reorganizing websites by identifying areas of intervention for the purpose of allowing users to learn and thus getting maximum effect from dynamic decisions.
Keywords :
Web sites; neural nets; travel industry; Web site usability; dynamic decision making; dynamic decision theory; e-tourism; informal learning; neural network; virtual environment; Artificial neural networks; Clustering algorithms; Companies; Context; Decision making; Internet; Usability; dynamic decision making; e-tourism; k-means; learning; neural network (ANN); usability;
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
DOI :
10.1109/IJCNN.2014.6889770