The cost of annoying ads
Author:
Affiliation:
1. Microsoft Research, New York City, New York, NY, USA
2. Google Strategic Technologies, Mountain View, CA, USA
Publisher
ACM Press
Reference21 articles.
1. Jan P. Benway. Banner blindness: The irony of attention grabbing on the world wide web. In Proceedings of the Human Factors and Ergonomics Society 42nd Annual Meeting, volume 1, pages 463--467, October 1998.
2. Moira Burke, Anthony Hornof, Erik Nilsen, and Nicholas Gorman. High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten. ACM Transactions on Computer-Human Interaction, 12(4):423--445, December 2005.
3. Georg Buscher, Susan T. Dumais, and Edward Cutrell. The good, the bad, and the random: an eye-tracking study of ad quality in web search. In Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval, SIGIR '10, pages 42--49, New York, NY, USA, 2010. ACM.
4. Xavier Drèze and François-Xavier Hussherr. Internet advertising: Is anybody watching? Journal of Interactive Marketing, 17(4), 2003.
5. Avi Goldfarb and Catherine Tucker. Online display advertising: Targeting and obtrusiveness. Marketing Science, 30(3):389--404, May-June 2011.
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