How Do Sponsored Search Results Affect User Behavior in Web Search?

Sponsored search has gained considerable attention in Web search-related studies. In this paper, we investigate into the user interaction process on search engine result pages (SERPs) considering the influence of sponsored search results. We integrate different styles of sponsored links into SERPs to systematically study how they affect users’ behavioral preferences. Based on an analysis into users’ eye movements and click-through behavior, we showed that different presentation styles among sponsored links might lead to different behavior biases, not only for the sponsored search results but also for the organic ones. We also showed that search task type might influence the click-through of sponsored links, whereas this factor has little effect on the visual attention that users devote to top sponsored results. Interestingly, it seems that user satisfaction, which was intuitively measured by participants, was unaffected by the different sponsored search result appearances. These results help us better understand how users interact with search engines and how we can improve the placement of sponsored search results on SERPs.

[1]  Soussan Djamasbi,et al.  SERPs and Ads on Mobile Devices: An Eye Tracking Study for Generation Y , 2013, HCI.

[2]  Thorsten Joachims,et al.  Accurately Interpreting Clickthrough Data as Implicit Feedback , 2017 .

[3]  Amanda Spink,et al.  Investigating customer click through behaviour with integrated sponsored and nonsponsored results , 2009 .

[4]  Ryen W. White,et al.  No clicks, no problem: using cursor movements to understand and improve search , 2011, CHI.

[5]  Thorsten Joachims,et al.  Eye-tracking analysis of user behavior in WWW search , 2004, SIGIR '04.

[6]  Susan T. Dumais,et al.  The good, the bad, and the random: an eye-tracking study of ad quality in web search , 2010, SIGIR.

[7]  Erik D. Reichle,et al.  Eye movement control in reading: accounting for initial fixation locations and refixations within the E-Z Reader model , 1999, Vision Research.

[8]  Tommy Strandvall,et al.  Eye Tracking in Human-Computer Interaction and Usability Research , 2009, INTERACT.

[9]  Andrei Broder,et al.  A taxonomy of web search , 2002, SIGF.

[10]  Mark Levene,et al.  Presentation bias is significant in determining user preference for search results - A user study , 2009, J. Assoc. Inf. Sci. Technol..

[11]  Yiqun Liu,et al.  Incorporating vertical results into search click models , 2013, SIGIR.

[12]  Filip Radlinski,et al.  Evaluating the accuracy of implicit feedback from clicks and query reformulations in Web search , 2007, TOIS.

[13]  Constantine Stephanidis,et al.  Universal Access in Human-Computer Interaction , 2011 .

[14]  Edward Cutrell,et al.  What are you looking for?: an eye-tracking study of information usage in web search , 2007, CHI.

[15]  Barbara S. Chaparro,et al.  Text Advertising Blindness: The New Banner Blindness? , 2011 .