The Impact of Advertising Location and User Task on the Emergence of Banner Ad Blindness: An Eye-Tracking Study

REFERENCES

• Albert , W. 2002 . Do web users actually look at ads? A case study of banner ads and eye-tracking technology , July 2002, Orlando , FL : Proceedings of the International Usability Professionals Association .
   Google Scholar
• Bayles , M. J. 2002 . Designing online banner advertisements: Should we animate? . Proceedings of CHI , (2002) : 363 – 366 .
   Google Scholar
• Benway , J. P. 1998 . Banner blindness: The irony of attention grabbing on the World Wide Web , Santa Monica , CA : Human Factors and Ergonomics Society . Proceedings of the Human Factors and Ergonomics Society 42nd Annual Meeting, 463–467
   Google Scholar
• Benway, J. P.Lane, D. M.1998Banner blindness: Web searchers often miss “obvious” links.” Internetworking, 1, 3. Retrieved from http://www.internettg.org/dec98/banner_blindness.html (http://www.internettg.org/dec98/banner_blindness.html)
   Google Scholar
• Bhat , S. , Bevens , M. and Sengupta , S. 2002 . Measuring users’ web activity to evaluate and enhance advertising effectiveness . Journal of Advertising , 31 : 97 – 106 .
   Web of Science ®Google Scholar
• Blackmon , M. H. 2012 . Information scent determines attention allocation and link selection among multiple information patches on a webpage . Behaviour & Information Technology , 31 : 3 – 15 .
   Web of Science ®Google Scholar
• Brajnik , G. and Gabrielli , S. 2010 . A review of online advertising effects on the user experience . International Journal of Human–Computer Interaction , 26 : 971 – 997 .
   Web of Science ®Google Scholar
• Bredemeier , K. and Simons , D. J. 2012 . Working memory and inattention blindness . Psychonomic Bulletin , 19 : 239 – 244 .
   Web of Science ®Google Scholar
• Breuer , R. and Brettel , M. 2012 . Short- and long-term effects of online advertising: Differences between new and existing customers . Journal of Interactive Marketing , 26 : 155 – 166 .
   Web of Science ®Google Scholar
• Breuer , R. , Brettel , M. and Engelen , A. 2011 . Incorporating long-term effects in determining the effectiveness of different types of online advertising . Marketing Letters , 22 : 327 – 340 .
   Web of Science ®Google Scholar
• Burke , M. , Gorman , N. , Nilsen , E. and Hornof , A. 2004 . “ Banner ads hinder visual search and are forgotten ” . In CHI ’04 Extended Abstracts on Human Factors in Computing Systems 1139 – 1142 .
   Google Scholar
• Burke , M. , Hornof , A. , Nilsen , E. and Gorman , N. 2005 . High-cost banner blindness: ads increase perceived workload, hinder visual search, and are forgotten . ACM Transactions on Computer–Human Interaction , 12 : 423 – 445 .
   Google Scholar
• Buscher , G. , Cutrell , E. and Morris , M. R. 2009 . “ What do you see when you're surfing? Using eye tracking to predict salient regions of web pages ” . In Proceedings of CHI ’09 21 – 30 .
   Google Scholar
• Buser, T.Peter N.2012Multitasking. Experimental Economics. Retrieved from http://www.springerlink.com/content/9qxh534536150802/fulltext.pdf (http://www.springerlink.com/content/9qxh534536150802/fulltext.pdf)
   Google Scholar
• Campbell , M. C. and Keller , K. L. 2003 . Brand familiarity and advertising repetition effects . Journal of Consumer Research , 30 : 292 – 304 .
   Web of Science ®Google Scholar
• Cooke , L. 2008 . How do users search web home pages? An eye-tracking study of multiple navigation menus . Technical Communication , 55 : 176 – 194 .
   Web of Science ®Google Scholar
• Dreze , X. and Hussherr , F. X. 2003 . Internet advertising: Is anybody watching? . Journal of Interactive Marketing , 17 : 8 – 23 .
   Google Scholar
• Edwards , S. M. , Li , H. and Lee , J. H. 2002 . Forced exposure and psychological reactance: antecedents and consequences of the perceived intrusiveness of pop-up ads . Journal of Advertising , 31 : 83 – 95 .
   Web of Science ®Google Scholar
• Fang , X. , Singh , S. and Ahluwalia , R. 2007 . An examination of different explanations for the mere exposure effect . Journal of Consumer Research , 34 : 97 – 103 .
   Web of Science ®Google Scholar
• Fougnie , D. and Marois , R. 2007 . Executive memory load induces inattention blindness . Psychonomic Bulletin & Review , 14 : 142 – 147 .
   PubMed Web of Science ®Google Scholar
• Fox , D. , Smith , A. and Chaparro , B.S. 2009 . Optimizing presentation of Adsense ads within blogs. Proceedings of the Human Factors and Ergonomics Society 53rd Annual Meeting, 1267–1271 , Santa Monica , CA : Human Factors and Ergonomics Society .
   Google Scholar
• Gillan , D. J. and Bias , R. G. 2001 . Usability Science I: Foundations . International Journal of Human–Computer Interaction , 13 : 351 – 372 .
   Web of Science ®Google Scholar
• Granka , L. , Hembrooke , H. and Gay , G. 2006 . Location location location: viewing patterns on WWW pages. Proceedings of the 2006 Symposium on Eye-Tracking Research & Applications , Vol. 43 , New York , NY : Association for Computing Machinery .
   Google Scholar
• Grier , R. , Kortum , P. and Miller , J.T. 2005 . “ How users view web pages: An exploration of cognitive and perceptual mechanisms ” . In HCI Research in Web Design and Evaluation , Edited by: Zaphiris , P. and Kurniawan , S. 22 – 41 . IGI Global .
   Google Scholar
• Hof, R.2011, August 26Online ad spend to overtake TV by 2016. Forbes. Retrieved from http://www.forbes.com /sites/roberthof/2011/08/26/online-ad-spend-to-overtake-tv (http://www.forbes.com /sites/roberthof/2011/08/26/online-ad-spend-to-overtake-tv)
   Google Scholar
• Hong , W. , Thong , J. Y. L. and Tam , K. Y. 2007 . How do web users respond to non-banner-ads animation? The effects of task type and user experience . Journal of the American Society of Information Science and Technology , 25 : 91 – 97 .
   Google Scholar
• Horvitz , E. , Apacible , J. and Koch , P. 2004 . “ BusyBody: Creating and fielding personalized models of the cost of interruption ” . In Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work , 507 – 510 . New York , NY : Association for Computing Machinery .
   Google Scholar
• Hyun , Y. J. , Gentry , J. W. , Chanwook , P. and Sunkyu , J. 2006 . An investigation of newspaper ad memory as affect context involvement and ad size—A Korean case . Journal of Current Issues & Research in Advertising , 28 : 45 – 56 .
   Google Scholar
• Kitajima , M. , Blackmon , M. H. and Polson , P. G. 2005 . “ Cognitive architecture for website design and usability evaluation: comprehension and information scent in performing by exploration ” . In Proceedings of the 11th International Conference on Human–Computer Interaction , Vol. 4 , 357–373 Mahwah , NJ : Erlbaum . InVol.pp.
   Google Scholar
• Lang , A. 2007 . The limited capacity model of mediating message processing . Journal of Communication , 50 : 46 – 67 .
   Web of Science ®Google Scholar
• Lapa, C.2007Using eye tracking to understand banner blindness and improve website design (Unpublished master's thesis). Golisano College of Computing and Information Sciences, Rochester Institute of Technology, Rochester, NY. Retrieved from https://ritdml.rit.edu/handle/1850/4768 (http://https://ritdml.rit.edu/handle/1850/4768)
   Google Scholar
• Lavie , M. , Hirst , A. , de Fockert , J. W. and Viding , E. 2004 . Load theory of selective attention and cognitive control . Journal of Experimental Psychology: General , 133 : 339 – 354 .
   PubMed Web of Science ®Google Scholar
• Lo , J. J. and Wang , Y. J. 2012 . Development of an adaptive EC Website with online identified cognitive styles of anonymous customers . International Journal of Human–Computer Interaction , 28 : 560 – 575 .
   Web of Science ®Google Scholar
• Macias, W.2003A preliminary structural equation model of comprehension and persuasion of interactive advertising brand web sites. Journal of Interactive Advertising, 3. Retrieved from http://jiad.org/article34 (http://jiad.org/article34)
   Google Scholar
• Mack , A. and Rock , I. 1988 . Inattention blindness , Cambridge , MA : MIT Press .
   Google Scholar
• McCoy , S. , Everard , A. , Polak , P. and Galletta , D.F. 2007 . The effects of online advertising . Communications of the ACM , 50 : 84 – 88 .
   Web of Science ®Google Scholar
• Money spent on Web advertising keeps rising2010, October 12Bloomberg Businessweek. Retrieved from http://www.businessweek.com/ap/financialnews/D9IQDDOO0.htm (http://www.businessweek.com/ap/financialnews/D9IQDDOO0.htm)
   Google Scholar
• Mosconi , M. , Porta , M. and Ravarelli , A. 2008 . “ On-line newspapers and multi-media content: An eye-tracking study ” . In Proceedings of the 26th Annual ACM International Conference on Design of Communication , 55 – 64 . New York , NY : Association for Computing Machinery .
   Google Scholar
• Most , S. B. and Simons , D. J. 2001 . “ Attention capture, orienting, and awareness ” . In Attraction, distraction, and action: Multiple perspectives on attention capture , Edited by: Folk , C. L. and Gibson , B. S. 151 – 176 . Amsterdam : the Netherlands: Elsevier . InEds.pp.
   Google Scholar
• Most , S. B. , Simons , D. J. , Scholl , B. J. , Jimenez , R. , Clifford , E. and Chabris , C. F. 2001 . How not to be seen: the contribution of similarity and selective ignoring to sustained inattentional blindness . Psychological Science , 12 : 9 – 17 .
   PubMed Web of Science ®Google Scholar
• Owens , J. W. , Chaparro , B. S. and Palmer , E. M. 2011 . Text advertising blindness: The new banner blindness . Journal of Usability Studies , 6 : 172 – 197 .
   Google Scholar
• Pagendarm, M.Schaumburg, H.2001Why are users banner-blind? The impact of navigation style on the perception of web banners. Journal of Digital Information, 2. Retrieved from http://journals.tdl.org/article/view/jodi-37/38 (http://journals.tdl.org/article/view/jodi-37/38)
   Google Scholar
• Papatla , P. and Bhatnagar , A. 2002 . Choosing the right mix of on-line affiliates: How do you select the best? . Journal of Advertising , 31 : 69 – 81 .
   Web of Science ®Google Scholar
• Petty , R. and Cacioppo , J. T. 1986 . “ The elaboration likelihood model of persuasion ” . In Advances in Experimental Social Psychology , Vol. 19 , 123 – 205 . New York , NY : Academic Press . InVol.pp.
   Google Scholar
• Petty , R. , Cacioppo , J. T. and Schumann , D. 1983 . Central and peripheral routes to advertising effectiveness: the moderating role of involvement . Journal of Consumer Research , 10 : 135 – 146 .
   Web of Science ®Google Scholar
• Rayner , K. 1998 . Eye movements in reading and information processing: 20 years of research . Psychological Bulletin , 124 : 372 – 422 .
   PubMed Web of Science ®Google Scholar
• Reeves , B. and Nass , C. 2000 . Perceptual bandwidth . Communications of the ACM , 43 : 65 – 70 .
   Web of Science ®Google Scholar
• Robinson , H. , Wysocka , A. and Hand , C. 2007 . Internet advertising effectiveness . International Journal of Advertising , 26 : 527 – 541 .
   Web of Science ®Google Scholar
• Rodgers, S.2000The interactive advertising model: how users perceive and process online ads. Journal of Interactive Advertising, 1, 1. Retrieved from http://jiad.org/article5 (http://jiad.org/article5)
   Google Scholar
• Rohrer , C. and Boyd , J. 2004 . The rise of intrusive online advertising and the response of user experience research at Yahoo! . Proceedings of CHI 2004, 1085–1086 ,
   Google Scholar
• Shakeri , S. and Funk , K. 2007 . A comparison of human and near-optimal task management behavior . Human Factors , 49 : 400 – 416 .
   PubMed Web of Science ®Google Scholar
• Shen , F. 2002 . Banner advertising pricing, measurement, and pretesting practices: Perspectives from interactive agencies . Journal of Advertising , 31 : 59 – 67 .
   Web of Science ®Google Scholar
• Shrestha , S. , Owens , J. W. and Chaparro , B. S. 2009 . “ The effect of location and congruency of text ads on information search. Proceedings of the Human Factors and Ergonomics Society ” . In 53rd Annual Meeting , Santa Monica , CA : 1262–1266. Human Factors and Ergonomics Society .
   Google Scholar
• Sundar , S. S. and Kalyanaraman , S. 2004 . Arousal, memory, and impression-formation effects of animation speed in web advertising . Journal of Advertising , 33 : 7 – 18 .
   Web of Science ®Google Scholar
• Tellis , G. J. , Chandy , R. K. , MacInnis , D. and Thaivanich , P. 2005 . Modeling the microeffects of television advertising: Which ad works, when, where, for how long, and why? . Marketing Science , 24 : 359 – 366 .
   Web of Science ®Google Scholar
• Vakratsas , D. and Zhenfeng , M. 2005 . A look at the long run effectiveness of multimedia advertising and its implications for budget allocation decisions . Journal of Advertising Research , 45 : 241 – 254 .
   Web of Science ®Google Scholar
• Verhoef , P. C. and Donkers , B. 2005 . The effect of acquisition channels on customer loyalty and cross-buying . Journal of Interactive Marketing , 19 : 31 – 43 .
   Google Scholar
• Verma , S. 2009 . “ Impact and repetitive and contextual advertisements on consumer behavior: an exploratory study ” . In Proceedings of the IACSIT Spring Conference, 221–225. IEEE Computer Society Washington , DC
   Google Scholar
• Yesilada , Y. , Jay , C. , Stevens , R. and Harper , S. 2008 . “ Validating the use and role of visual elements of web pages in navigation with an eye-tracking study ” . In Proceedings of the 17th International Conference no World Wide Web , 11 – 20 . New York , NY : Association for Computing Machinery .
   Google Scholar
• Yoo, C. Y., Kim, K.Stout, P. A.2004Assessing the effects of animation in online banner advertising: hierarchy of effects model. Journal of Internet Advertising, 4, 2. Retrieved from http://jiad.org/article=49 (http://jiad.org/article=49)
   Google Scholar
• Zheng , X. S. , Lin , J. J. , Chakraborty , I. and Rauschenberger , R. 2009 . Correlating low-level image statistics with users’ rapid aesthetic and affective judgments of web pages. Proceedings of CHI 2009 , New York : 1–10. Association of Computing Machinery .
   Google Scholar