Website affective evaluation: Analysis of differences in evaluations result by data population

• Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Main Author: Lokman A.M.; Harun A.F.; Md. Noor N.L.; Nagamachi M.
• Format: Conference paper
• Language: English
• Published: 2009
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-70350244996&doi=10.1007%2f978-3-642-02806-9_75&partnerID=40&md5=56f3b62df83dcd7eb7d1ebfd370e3ab9

Studies involving consumer studies have suggested different mechanisms of subject selections. The paper elaborates results of subject's responses by the methodology adopted from Kansei Engineering. In the research, evaluation of subject's Kansei towards website interface design was performed, targeting to measure affective quality in website design. Principal Component Analysis was performed to identify semantic structure of Kansei Words. The analyses were based on the average of evaluation results obtained from subjects. Results of PC Loadings were analyzed to see differences of determinants by size of data population. It is evident from the study that population size does not affect determinants of affective web interface design. The study makes decent contribution in determining appropriate population size in designing research instruments for future studies involving website affective evaluations. © 2009 Springer Berlin Heidelberg.