The economic and cognitive costs of annoying display advertisements

Journal of Marketing Research

Volumn 51, Issue 6, 2014, Pages 742-752

  Goldstein, Daniel G ^a   Suri, Siddharth ^a   McAfee, R Preston ^b   Ekstrand Abueg, Matthew ^c   Diaz, Fernando ^a  

^a MICROSOFT RESEARCH   (United States)

^b MICROSOFT   (United States)

^c NORTHEASTERN UNIVERSITY   (United States)

Author keywords

Advertising; Compensating differential; Display; Online; Quality

Indexed keywords

EID: 84921730796     PISSN: 00222437     EISSN: 15477193     Source Type: Journal    
DOI: 10.1509/jmr.13.0439     Document Type: Article

References (36)

1. Aaker, David A. and Donald E. Bruzzone (1985), "Causes of Irritation in Advertising," Journal of Marketing, 49 (Spring), 47-57.
2. Bellman, Steven, Anika Schweda, and Duan Varan (2010), "The Residual Impact of Avoided Television Advertising," Journal of Advertising, 39(1), 67-81.
3. Benway, Jan P. (1998), "Banner Blindness: The Irony of Attention Grabbing on the World Wide Web," Proceedings of the Human Factors and Ergonomics Society 42nd Annual Meeting, 42 (5), 463-67.
4. Buhrmester, Michael, Tracy Kwang, and Samuel D. Gosling (2011), "Amazon's Mechanical Turk: A New Source of Inexpensive, yet High-Quality, Data?" Perspectives on Psychological Science, 6(1), 3-5.
5. Burke, Moira, Anthony Hornof, Erik Nilsen, and Nicholas Gorman (2005), "High-Cost Banner Blindness: Ads Increase Perceived Workload, Hinder Visual Search, and Are Forgotten," ACM Transactions on Computer-Human Interaction, 12 (4), 423-45.
6. Buscher, Georg, Edward Cutrell, and Meredith Ringel Morris (2009), "What Do You See When You're Surfing? Using Eye Tracking to Predict Salient Regions of Web Pages," in Proceedings of the ACM Conference on Human-Computer Interaction (SIGCHI'09). New York: Association for Computing Machinery, 21-30, [DOI: 10.1145/1518701.1518705].
7. Carlson, Michelle C, Lynn Hasher, S. Lisa Connelly, and Rose T. Zacks (1995), "Aging, Distraction, and the Benefits of Predictable Location," Psychology and Aging, 10 (3), 427-36.
8. Chen, Mon-Chu, John R. Anderson, and Myeong-Ho Sohn (2001), "What Can a Mouse Cursor Tell Us More? Correlation of Eye/Mouse Movements on Web Browsing," in Proceedings of the ACM Conference on Human-Computer Interaction (SIGCHI'01). New York: Association for Computing Machinery, 281-82, [DOI: 10.1145/634067.634234].
9. Connelly, S. Lisa, Lynn Hasher, and Rose T. Zacks (1993), "Age and Reading: The Impact of Distraction," Psychology and Aging, 6 (4), 533-41.
10. Drèze, Xavier and François-Xavier Hussherr (2003), "Internet Advertising: Is Anybody Watching?" Journal of Interactive Marketing, 17 (4), 8-23.
11. Duchowski, Andrew T. (2007), Eye Tracking Methodology: Theory and Practice. London: Springer.
12. Edwards, Steven M., Hairong Li, and Joo-Hyun Lee (2002), "Forced Exposure and Psychological Reactance: Antecedents and Consequences of the Perceived Intrusiveness of Pop-Up Ads," Journal of Advertising, 31 (3), 83-95.
13. Gartner Inc. (2013), "Gartner Says Worldwide Mobile Advertising Revenue to Reach $11.4 Billion in 2013," press release, (January 17), (accessed September 17, 2014), [available at http://www.gartner.com/newsroom/id/2306215].
14. Gilbert, Daniel T., Douglas S. Krull, and Brett W. Pelham (1988), "Of Thoughts Unspoken: Social Inference and the Self-Regulation of Behavior," Journal of Personality and Social Psychology, 55 (5), 685-94.
15. Goldfarb, Avi and Catherine Tucker (2011), "Online Display Advertising: Targeting and Obtrusiveness," Marketing Science, 30 (3), 389-404.
16. Goldstein, Daniel G., R. Preston McAfee, and Siddharth Suri (2011), "The Effects of Exposure Time on Memory of Display Advertisements," in Proceedings of the 12th ACM Conference on Electronic Commerce (EC'11). New York: Association for Computing Machinery, 49-58, [DOI: 10.1145/1993574.1993584].
17. -, and- (2012), "Improving the Effectiveness of Time-Based Display Advertising," in Proceedings of the 13th ACM Conference on Electronic Commerce (EC'12). New York: Association for Computing Machinery, pp. 623-38, [DOI: 10.1145/2229012.2229058].
18. -, and- (2013), "The Cost of Annoying Ads," in Proceedings of the 22nd International World Wide Web Conference (WWW'13), 459-70, [available at http://www2013.org/proceedings/p459.pdf].
19. Guo, Qi and Eugene Agichtein (2010), "Towards Predicting Web Searcher Gaze Position from Mouse Movements," in CHI'10 Extended Abstracts on Human Factors in Computing Systems. New York: Association for Computing Machinery, 3601-06, [DOI: 10.1145/1753846.1754025].
20. Horton, John J., David G. Rand, and Richard J. Zeckhauser (2011), "The Online Laboratory: Conducting Experiments in a Real Labor Market," Experimental Economics, 14 (3), 399-425.
21. Huang, Jeff, Ryen W. White, and Georg Buscher (2012), "User See, User Point: Gaze and Cursor Alignment in Web Search," in Proceedings of the 2012 Annual Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, 1341-50, [DOI: 10.1145/2207676.2208591].
22. IAB (2013), "TAB Internet Advertising Revenue Report: 2012 Full Year Results," (April), (accessed September 17, 2014), [available at http://www.iab.net/media/file/IABInternetAdvertisingRevenueReportFY2012POSTED.pdf].
23. Li, Hairong, Steven M. Edwards, and Joo-Hyun Lee (2002), "Measuring the Intrusiveness of Advertisements Scale Development and Validation," Journal of Advertising, 31 (2), 37-47.
24. Mason, Winter and Siddharth Suri (2012). "Conducting Behavioral Research on Amazon's Mechanical Turk," Behavior Research Methods, 44 (1), 1-23.
25. McCoy, Scott. Andrea Everard, and Eleanor T. Loiacono (2008), "Online Ads in Familiar and Unfamiliar Sites: Effects on Perceived Website Quality and Intention to Reuse." Information Systems Journal, 19 (4), 437-58.
26. Mueller, Florian and Andrea Lockerd (2001), "Cheese: Tracking Mouse Movement Activity on Websites, a Tool for User Modeling," in CHI'01 Extended Abstracts on Human Factors in Computing Systems. New York: Association for Computing Machinery, 279-80.
27. Navalpakkam, Vidhya and Elizabeth Churchill (2012), "Mouse Tracking: Measuring and Predicting Users' Experience of Web-Based Content," in Proceedings of the 2012 ACM Annual Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery. 2963-72, [DOI: 10.1145/2207676.2208705].
28. Paolacci, Gabriele, Jesse Chandler, and Panagiotis G. Ipeirotis (2010), "Running Experiments on Amazon Mechanical Turk," Judgment and Decision Making, 5 (5), 411-19.
29. Parducci, Allen and Linda F. Perrett (1971), "Category Rating Scales: Effects of Relative Spacing and Frequency of Stimulus Values," Journal of Experimental Psychology, 89 (2), 427-52.
30. Riley, John G. (2001), "Silver Signals: Twenty-Five Years of Screening and Signaling," Journal of Economic Literature, 39 (2), 432-78.
31. Smit, Annika S., Paul A.T.M. Eling, and Anton M.L. Coenen (2004), "Mental Effort Causes Vigilance Decrease due to Resource Depletion," Acta Psychologica, 115 (1), 35-42.
32. Tavassoli, Nader T. (2008), "The Effect of Selecting and Ignoring on Liking," in Visual Marketing: From Attention to Action, Michel Wedel and Rik Pieters, eds. New York: Lawrence Erlbaum Associates, 73-89.
33. Toomim, Michael, Travis Kriplean, Claus Pörtner, and James A. Landay (2011), "Utility of Human-Computer Interactions: Toward a Science of Preference Measurement," in Proceedings of CHI 2011: ACM Conference on Human Factors in Computing Systems. New York: Association for Computing Machinery, 2275-84, [DOI: 10.1145/1978942.1979277].
34. Venables, W.N. and B.D. Ripley (2002), Modern Applied Statistics with S. New York: Springer.
35. Willemsen, Martijn C. and Eric J. Johnson (2010), "Visiting the Decision Factory: Observing Cognition with MouselabWEB and Other Information Acquisition Methods," in A Handbook of Process Tracing Methods for Decision Making, M. Schulte-Mecklenbeck, A. Kiihberger, and R. Ranyard, eds. New York: Taylor & Francis, 21-42.
36. Yoo, Chan Yun and Kihan Kim (2005), "Processing of Animation in Online Banner Advertising: The Roles of Cognitive and Emotional Responses," Journal of Interactive Marketing, 19 (4), 18-34.