TY - GEN
T1 - User-centered interface design of social websites
AU - Lin, Yang Cheng
AU - Yeh, Chung Hsing
PY - 2008
Y1 - 2008
N2 - This paper develops neural network (NN) models to examine how key design elements of a social website will affect users' feelings or perceptions. An experimental study of 96 university websites is conducted based on a user-centered approach. The study identifies seven website design elements and 33 representative websites as experimental samples for training and testing four NN models. These four NN models are built to formulate the relationship between seven website design elements and three users' feelings of websites. The result of the study shows that the combined NN model has an accuracy rate of 83.93% for predicting the values of three users' feelings of websites. This suggests that the combined NN model is a promising approach for modeling users' specific expectations of websites, thus providing an effective mechanism for facilitating user-centered interface design of social websites.
AB - This paper develops neural network (NN) models to examine how key design elements of a social website will affect users' feelings or perceptions. An experimental study of 96 university websites is conducted based on a user-centered approach. The study identifies seven website design elements and 33 representative websites as experimental samples for training and testing four NN models. These four NN models are built to formulate the relationship between seven website design elements and three users' feelings of websites. The result of the study shows that the combined NN model has an accuracy rate of 83.93% for predicting the values of three users' feelings of websites. This suggests that the combined NN model is a promising approach for modeling users' specific expectations of websites, thus providing an effective mechanism for facilitating user-centered interface design of social websites.
UR - http://www.scopus.com/inward/record.url?scp=45849087280&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=45849087280&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-69304-8_36
DO - 10.1007/978-3-540-69304-8_36
M3 - Conference contribution
AN - SCOPUS:45849087280
SN - 3540691367
SN - 9783540691365
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 366
EP - 376
BT - Intelligence and Security Informatics - IEEE ISI 2008 International Workshops
T2 - IEEE International Conference on Intelligence and Security Informatics, ISI 2008 Workshops: PAISI, PACCF, and SOCO 2008
Y2 - 17 June 2008 through 17 June 2008
ER -