Comparing the Influence on Non-Persuasive and Persuasive Visual on a Website and Their Impact on Users Behavioural Intention

Nurulhuda Ibrahim, Mohd Fairuz Shiratuddin, Kok Wai Wong

Abstract


Research related to first impression formation has highlighted the importance of visual appeal in influencing favourable attitude towards a website. It is proposed that users are actually drawn to specific characteristics or aspects of visual design of a website, and tend to disregard other features. Therefore, this study aims to investigate which visual design strongly appeals to the users by comparing the impact of common visuals with persuasive visuals. The principles of social influence are proposed as added value to the persuasiveness of the web visuals. An experimental study is conducted and the PLS-SEM method is employed to analyse the obtained data. The result of the exploratory and confirmatory analyses demonstrated that the structural model displays better quality when tested with persuasive data sample compared to non-persuasive data sample. Thus, it is concluded that persuasive visual helps to better explain the relationship between users' attitude and intention. This means that exposure to persuasive visuals brings about consistent favourable perception to the web design.

Keywords


Persuasive Visual; Web Design; Users' Attitude; PLS-SEM;

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References


S. Josephson, S. B. Barnes, and M. Lipton, 2010. Visualizing the Web: evaluating online design from a visual communication perspective, Volume 1. New York: P. Lang.

H. Kim and D. R. Fesenmaier, "Persuasive Design of Destination Web Sites: An Analysis of First Impression". J. Travel Res. vol. 47(1), pp. 3–13, 2008.

C. Jones, "Clout: The Role of Content in Persuasive Experience. In A. Marcus, (Ed.) Design, User Experience, and Usability. Theory, Methods, Tools and Practice. Heidelberg: Springer Berlin. 2011, pp. 582–587.

W. Winn and K. Beck, 2002. The Persuasive Power of Design Elements on an E-Commerce Web Site. Tech. Commun. vol. 49(1) pp. 17–35.

H.-L. Chu, Y.-S. Deng, and M.-C. Chuang, "Persuasive Web Design in e-Commerce. In F.-H. Nah, (Ed.) HCI in Business SE". Springer

International Publishing. 2014, pp. 482–491.

R. B. Cialdini, 2007. Influence: The Psychology of Persuasion, Revised ed. HarperBusiness.

R. E. Guadagno and R. B. Cialdini, “Online Persuasion and Compliance: Social Influence on the Internet and Beyond,” in The Social Net: The Social Psychology of the Internet, 2005, pp. 91–113.

R. E. Guadagno, N. L. Muscanell, L. M. Rice, and N. Roberts, 2013. Social influence online: The impact of social validation and likability on compliance. Psychol. Pop. Media Cult. 2(1): 51.

D. Lauterbach, H. Truong, T. Shah, and L. Adamic, 2009. Surfing a web of trust: Reputation and reciprocity on Couchsurfing.com. 12th IEEE International Conference on Computational Science and Engineering (CSE) 2009. 346–353.

N. Nahai, 2012. Webs of Influence: The Psychology of Online

Persuasion. FT Press.

N. Ibrahim, M. F. Shiratuddin, and K. W. Wong, 2014. Proposed Model of Persuasive Visual Design for Web Design. 25th Australasian Conference on Information Systems (ACIS2014), 2014.

N. Ibrahim, M. F. Shiratuddin, and K. W. Wong, 2013. A dual-route concept of persuasive User Interface (UI) design. Int. Conf. Res. Innov. Inf. Syst. November 2013. 2013: pp. 422–427.

N. Ibrahim, K. W. Wong, and M. F. Shiratuddin, "Persuasive Impact of Online Media: Investigating the Influence of Visual Persuasion". Asia Pacific Conference on Multimedia and Broadcasting (APMediaCast 2015), 2015.

N. Ibrahim, M. F. Shiratuddin, and K. W. Wong, "Persuasion Techniques for Tourism Website Design". International Conference on ETechnologies and Business on the Web (EBW2013, pp. 175–180, 2013.

H. Kim, 2008. Persuasive Architecture of Tourism Destination Websites: An Analysis of First Impression.

L. Tang, 2009. Destination websites as advertising: An application of Elaboration Likelihood Model. ProQuest, UMI Dissertations Publishing.

J. F. Hair, C. M. Ringle, and M. Sarstedt, “PLS-SEM: Indeed a Silver

Bullet,” The Journal of Marketing Theory and Practice, vol. 19, no. 2. pp. 139–152, 2011.

N. Kock, “Using WarpPLS in E-collaboration Studies: An Overview of Five Main Analysis Steps,” Int. J. e-Collab., vol. 6, no. 4, pp. 1–11, Oct. 2010.

M. D. Johnson and A. Gustafsson, 2000. Improving customer

satisfaction, loyalty, and profit: an integrated measurement and

management system. Jossey-Bass.

N. Kock, "Using Data Labels to Discover Moderating Effects in PLSBased Structural Equation Modeling". Int. J. e-Collab. vol. 10(4), pp. 1–16, 2014.

T. D. Astolfo, 2015. Distribution Evolution: How Travelers Search , Shop , Buy and Share.

R. L. Rosnow, R. Rosenthal, and D. B. Rubin, "Contrasts and correlations in effect-size estimation". Psychol. Sci. a J. Am. Psychol. Soc. vol. 11(6), pp. 446–453. 2000.

J. Cohen, 1988. Statistical power analysis for the behavioral sciences.

S. A. Rusticus and C. Y. Lovato, 2014. Impact of Sample Size and Variability on the Power and Type I Error Rates of Equivalence Tests: A Simulation Study. Pract. Assesment, Res. Eval. vol. 19(11).

N. Kock, 2015. WarpPLS 5.0 User Manual. Laredo, TX: ScriptWarp Systems.

D. J. MacInnis and L. L. Price, "An exploratory study of the effects of imagery processing and consumer experience on expectations and satisfaction". Adv. Consum. Res. vol. 17(1), pp. 41–47, 1990.

D. W. Miller, J. Hadjimarcou, and A. Miciak. "A scale for measuring advertisement-evoked mental imagery". J. Mark. Commun. vol. 6, pp. 1–20 2000.

M. Jeong and J. Choi, "Effects of Picture Presentations on Customers’ Behavioral Intentions on the Web". Journal of Travel & Tourism Marketing. vol. 17, pp. 193–204, 2004.


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