Farsi Version of Visual Aesthetics of Website Inventory (FV-VisAWI): Translation and Psychometric Evaluation

References

• Anastasi, A., & Urbina, S. (1997). Psychological testing. Prentice Hall/Pearson Education.
   Google Scholar
• Beaton, D. E., Bombardier, C., Guillemin, F., & Ferraz, M. B. J. S. (2000). Guidelines for the process of cross-cultural adaptation of self-report measures. Spine, 25(24), 3186–3191. https://doi.org/10.1097/00007632-200012150-00014
   PubMed Web of Science ®Google Scholar
• Bhandari, U., Chang, K., & Neben, T. (2019). Understanding the impact of perceived visual aesthetics on user evaluations: An emotional perspective. Information & Management, 56(1), 85–93. https://doi.org/10.1016/j.im.2018.07.003
   Web of Science ®Google Scholar
• Blijlevens, J., Thurgood, C., Hekkert, P., Chen, L.-L., Leder, H., & Whitfield, T. (2017). The aesthetic pleasure in Design Scale: The development of a scale to measure aesthetic pleasure for designed artifacts. Psychology of Aesthetics, Creativity, and the Arts, 11(1), 86–98. https://doi.org/10.1037/aca0000098
   Web of Science ®Google Scholar
• Bölte, J., Hösker, T. M., Hirschfeld, G., & Thielsch, M. T. (2017). Electrophysiological correlates of aesthetic processing of webpages: A comparison of experts and laypersons. PeerJ, 5(1), e3440. https://doi.org/10.7717/peerj.3440
   PubMedGoogle Scholar
• Bonnardel, N., Piolat, A., & Le Bigot, L. (2011). The impact of colour on Website appeal and users’ cognitive processes. Displays, 32(2), 69–80. https://doi.org/10.1016/j.displa.2010.12.002
   Web of Science ®Google Scholar
• Brown, T. A., & Moore, M. T. (2012). Confirmatory factor analysis. In Hoyle, R. H. (Ed.), Handbook of structural equation modeling, (pp. 361–379). Guilford press.
   Google Scholar
• Browne, M. W., & Cudeck, R. (1989). Single sample cross-validation indices for covariance structures. Multivariate Behavioral Research, 24(4), 445–455. https://doi.org/10.1207/s15327906mbr2404_4
   PubMed Web of Science ®Google Scholar
• Chiew, T. K., & Salim, S. S. (2003). Webuse: Website usability evaluation tool. Malaysian Journal of Computer Science, 16(1), 47–57.
   Google Scholar
• Christensen, B. T., & Ball, L. J. (2016). Dimensions of creative evaluation: Distinct design and reasoning strategies for aesthetic, functional and originality judgments. Design Studies, 45(Part A), 116–136. https://doi.org/10.1016/j.destud.2015.12.005.
   Google Scholar
• Dewi, C. R., & Darma, G. S. (2014). Website usability, satisfaction, loyalty, security perception, trust and word of mouth in E-commerce business. Jurnal Manajemen dan Bisnis, 11(2), 1–30. https://doi.org/10.38043/jmb.v11i2.269
   Google Scholar
• Ebenezer, C. M. (2003). Usability evaluation of an NHS library website. Health Information and Libraries Journal, 20(3), 134–142. https://doi.org/10.1046/j.1365-2532.2003.00450.x
   PubMedGoogle Scholar
• Hambleton, R. K. (1996). Guidelines for adapting educational and psychological tests. [Paper presentation] The annual meeting of the national council on measurement in education, New York, NY, USA. https://files.eric.ed.gov/fulltext/ED399291.pdf
   Google Scholar
• Harrington, D. (2009). Confirmatory factor analysis. Oxford University Press.
   Google Scholar
• Hassenzahl, M. (2004). The interplay of beauty, goodness, and usability in interactive products. Human-Computer Interaction, 19(4), 319–349. https://doi.org/10.1207/s15327051hci1904_2
   Web of Science ®Google Scholar
• Hormann, T. M. (2020). Web design for different user generations: The impact of aesthetics on emotions and quality perceptions. University of Twente.
   Google Scholar
• Hu, L. t., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
   Web of Science ®Google Scholar
• Hu, L-t., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424
   Web of Science ®Google Scholar
• Ilfeld, J. S., & Winer, R. S. (2002). Generating website traffic. Journal of Advertising Research, 42(5), 49–61. https://doi.org/10.2501/JAR-42-5-49-61
   Web of Science ®Google Scholar
• Kline, P. (2013). Handbook of psychological testing. Routledge.
   Google Scholar
• Kurosu, M., & Kashimura, K. (1995). Apparent usability vs. inherent usability: experimental analysis on the determinants of the apparent usability [Paper presentation]. Conference Companion on Human factors in Computing Systems, Denver, CL, USA. https://doi.org/10.1145/223355.223680
   Google Scholar
• Lavie, T., & Tractinsky, N. (2004). Assessing dimensions of perceived visual aesthetics of web sites. International Journal of Human-Computer Studies, 60(3), 269–298. https://doi.org/10.1016/j.ijhcs.2003.09.002
   Web of Science ®Google Scholar
• Lawshe, C. H. (1975). A quantitative approach to content validity. Personnel Psychology, 28(4), 563–575. https://doi.org/10.1111/j.1744-6570.1975.tb01393.x
   Web of Science ®Google Scholar
• Lazard, A. J., & King, A. J. (2020). Objective design to subjective evaluations: Connecting visual complexity to aesthetic and usability assessments of eHealth. International Journal of Human–Computer Interaction, 36(1), 95–104. https://doi.org/10.1080/10447318.2019.1606976
   Web of Science ®Google Scholar
• Liao, H., Proctor, R. W., & Salvendy, G. (2009). Chinese and US online consumers’ preferences for content of e-commerce websites: A survey. Theoretical Issues in Ergonomics Science, 10(1), 19–42. https://doi.org/10.1080/14639220801936588
   Google Scholar
• Lindgaard, G., & Dudek, C. (2002). User satisfaction, aesthetics and usability [Paper presentation]. Boston, USA: The IFIP World Computer Congress, TC 13.
   Google Scholar
• Lindgaard, G., Fernandes, G., Dudek, C., & Brown, J. (2006). Attention web designers: You have 50 milliseconds to make a good first impression! Behaviour & Information Technology, 25(2), 115–126. https://doi.org/10.1080/01449290500330448
   Web of Science ®Google Scholar
• McConaughy, S. H. (2001). The Achenbach system of empirically based assessment. In Saklofske, D. H., Andrews, J. J. W., Janzen, H. L., & Phye, G. D. (Eds.), Handbook of psychoeducational assessment (pp. 289–324). Elsevier Inc.
   Google Scholar
• Minge, M., & Thüring, M. (2018). Hedonic and pragmatic halo effects at early stages of user experience. International Journal of Human-Computer Studies, 109, 1–122. https://doi.org/10.1016/j.ijhcs.2017.07.007
   Web of Science ®Google Scholar
• Moshagen, M., & Thielsch, M. T. (2010). Facets of visual aesthetics. International Journal of Human-Computer Studies, 68(10), 689–709. https://doi.org/10.1016/j.ijhcs.2010.05.006
   Web of Science ®Google Scholar
• Pengnate, S., Sarathy, R., & Lee, J. (2019). The engagement of website initial aesthetic impressions: An experimental investigation. International Journal of Human–Computer Interaction, 35(16), 1517–1531. https://doi.org/10.1080/10447318.2018.1554319
   Web of Science ®Google Scholar
• Polit, D. F., Beck, C. T., & Owen, S. V. (2007). Is the CVI an acceptable indicator of content validity? Appraisal and recommendations Research in Nursing & Health, 30(4), 459–467. https://doi.org/10.1002/nur.20199
   PubMed Web of Science ®Google Scholar
• Seng, T. L., & Mahmoud, M. A. S. (2020). Perceived e-service quality and e-store loyalty: The moderated mediating effect of webpage aesthetics and e-customer satisfaction. International Journal of Advanced and Applied Sciences, 7(5), 111–117. https://doi.org/10.21833/ijaas.2020.05.014
   Web of Science ®Google Scholar
• Seo, K.-K., Lee, S., Chung, B. D., & Park, C. (2015). Users’ emotional valence, arousal, and engagement based on perceived usability and aesthetics for web sites. International Journal of Human-Computer Interaction, 31(1), 72–87. https://doi.org/10.1080/10447318.2014.959103
   Web of Science ®Google Scholar
• Sillence, E., Briggs, P., Harris, P. R., & Fishwick, L. (2007). How do patients evaluate and make use of online health information? Social Science & Medicine (1982), 64(9), 1853–1862. https://doi.org/10.1016/j.socscimed.2007.01.012
   PubMed Web of Science ®Google Scholar
• Sonderegger, A., & Sauer, J. (2010). The influence of design aesthetics in usability testing: Effects on user performance and perceived usability. Applied Ergonomics, 41(3), 403–410. https://doi.org/10.1016/j.apergo.2009.09.002
   PubMed Web of Science ®Google Scholar
• Sonderegger, A., Sauer, J., & Eichenberger, J. (2014). Expressive and classical aesthetics: Two distinct concepts with highly similar effect patterns in user–artefact interaction. Behaviour & Information Technology, 33(11), 1180–1191. https://doi.org/10.1080/0144929X.2013.853835
   Web of Science ®Google Scholar
• Statista. (2019, June). Countries with the highest number of internet users as of June 2019. https://www.statista.com/statistics/262966/number-of-internet-users-in-selected-countries/.
   Google Scholar
• Tang, W., Cui, Y., & Babenko, O. (2014). Internal consistency: Do we really know what it is and how to assess it. 2(2), 205–220.
   Google Scholar
• Thielsch, M. T., & Hirschfeld, G. (2012). Spatial frequencies in aesthetic website evaluations-explaining how ultra-rapid evaluations are formed. Ergonomics, 55(7), 731–742. https://doi.org/10.1080/00140139.2012.665496
   PubMed Web of Science ®Google Scholar
• Thüring, M., & Mahlke, S. (2007). Usability, aesthetics and emotions in human–technology interaction. International Journal of Psychology, 42(4), 253–264. https://doi.org/10.1080/00207590701396674
   Web of Science ®Google Scholar
• Tractinsky, N. (1997). Aesthetics and apparent usability: empirically assessing cultural and methodological issues [Paper presentation]. Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, Atlanta, GA, USA. https://doi.org/10.1145/258549.258626
   Google Scholar
• Tractinsky, N. (2004). Toward the study of aesthetics in information technology [Paper presentation]. The international conference on information systems, Washington, DC, USA. https://aisel.aisnet.org/icis2004/62
   Google Scholar
• Tractinsky, N. (2013). Visual aesthetics. In Soegaard, M., & Dam, R. F. (Eds.), The encyclopedia of human-computer interaction. The encyclopedia of human-computer interaction (2nd ed. chapter 19). Haettu. Interaction design foundation.
   Google Scholar
• Tractinsky, N., Katz, A. S., & Ikar, D. (2000). What is beautiful is usable. Interacting with Computers, 13(2), 127–145. https://doi.org/10.1016/S0953-5438(00)00031-X
   Web of Science ®Google Scholar
• Tuch, A. N., Presslaber, E. E., StöCklin, M., Opwis, K., & Bargas-Avila, J. A. (2012). The role of visual complexity and prototypicality regarding first impression of websites: Working towards understanding aesthetic judgments. International Journal of Human-Computer Studies, 70(11), 794–811. https://doi.org/10.1016/j.ijhcs.2012.06.003
   Web of Science ®Google Scholar
• Waltz, C. F., Strickland, O. L., & Lenz, E. R. (2010). Measurement in nursing and health research. Springer Publishing Company.
   Google Scholar
• Waltz, C. W., & Bausell, R. B. (1983). Nursing research: Design, statistics, and computer analysis. F. D. A. Davis Company.
   Google Scholar
• Wang, Y. J., Hong, S., & Lou, H. (2010). Beautiful beyond useful? The role of web aesthetics. Journal of Computer Information Systems, 50(3), 121–129. https://doi.org/10.1080/08874417.2010.11645414
   Web of Science ®Google Scholar
• Weller, K., Groffik, A., Magerl, M., Tohme, N., Martus, P., Krause, K., Metz, M., Staubach, P., & Maurer, M. (2013). Development, validation, and initial results of the Angioedema Activity Score. Allergy, 68(9), 1185–1192. https://doi.org/10.1111/all.12209
   PubMed Web of Science ®Google Scholar