Towards the Tradeoff Between Online Marketing Resources Exploitation and the User Experience with the Use of Eye Tracking

Online systems are often overloaded with marketing content and as a result, perceived intrusiveness negatively affects the user experience and the evaluation of the website. Intentional and unintentional avoidance of the commercial content creates the need for compromise solutions from both the perspective of user experience and business goals. The presented research shows a unique approach to search for tradeoffs between the editorial content and the intensity of marketing components with the use of eye tracking and the multiple-criteria decision analysis methods.

[1]  Bertrand Mareschal,et al.  The GDSS PROMETHEE procedure: a PROMETHEE-GAIA based procedure for group decision support , 1998 .

[2]  Anthony J. Hornof,et al.  High-cost banner blindness: Ads increase perceived workload, hinder visual search, and are forgotten , 2005, TCHI.

[3]  Ginger Rosenkrans,et al.  The Creativeness and Effectiveness of Online Interactive Rich Media Advertising , 2009 .

[4]  J. Brans,et al.  Geometrical representations for MCDA , 1988 .

[5]  Jaroslaw Jankowski.  Modeling the Structure of Recommending Interfaces with Adjustable Influence on Users , 2013, ACIIDS.

[6]  Taraneh Sowlati,et al.  A multicriteria approach to evaluate district heating system options , 2010 .

[7]  Gerrit K. Janssens,et al.  Multiple Criteria Performance Analysis of Non-dominated Sets Obtained by Multi-objective Evolutionary Algorithms for Optimisation , 2010, AIAI.

[8]  Silvia Gabrielli,et al.  A Review of Online Advertising Effects on the User Experience , 2010, Int. J. Hum. Comput. Interact..

[9]  Zbigniew Piotrowski,et al.  The Selection of Multicriteria Method Based on Unstructured Decision Problem Description , 2014, ICCCI.

[11]  Wojciech Sałabun,et al.  The Characteristic Objects Method: A New Distance‐based Approach to Multicriteria Decision‐making Problems , 2015 .

[12]  Louisa Ha,et al.  Does Advertising Clutter Have Diminishing and Negative Returns , 1997 .

[13]  Bo K. Wong,et al.  Business types, e-strategies, and performance , 2005, CACM.

[14]  Hairong Li,et al.  Measuring the Intrusiveness of Advertisements: Scale Development and Validation , 2002 .

[15]  B. Roy.  THE OUTRANKING APPROACH AND THE FOUNDATIONS OF ELECTRE METHODS , 1991 .

[16]  K. F. Darkwah,et al.  Logistic preference function for preference ranking organization method for enrichment evaluation (PROMETHEE) decision analysis , 2012 .

[17]  Reza Baradaran Kazemzadeh,et al.  PROMETHEE: A comprehensive literature review on methodologies and applications , 2010, Eur. J. Oper. Res..

[18]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[19]  S French,et al.  Multicriteria Methodology for Decision Aiding , 1996 .

[20]  Stefano Tarantola,et al.  A role for sensitivity analysis in presenting the results from MCDA studies to decision makers , 1999 .

[21]  R. Preston McAfee,et al.  The cost of annoying ads , 2013, WWW '13.

[22]  Valentinas Podvezko,et al.  DEPENDENCE OF MULTI-CRITERIA EVALUATION RESULT ON CHOICE OF PREFERENCE FUNCTIONS AND THEIR PARAMETERS , 2010 .

[23]  Andrzej Piegat,et al.  Identification of a Multicriteria Decision-Making Model Using the Characteristic Objects Method , 2014, Appl. Comput. Intell. Soft Comput..

[24]  Wendy W. Moe.  A field experiment to assess the interruption effect of pop-up promotions , 2006 .

[25]  Annie Lang,et al.  The limited capacity model of mediated message processing , 2000 .

[26]  Valentinas Podvezko,et al.  Use and choice of preference functions for evaluation of characteristics of socio-economical processes , 2010 .

[27]  Louisa Ha,et al.  An integrated model of advertising clutter in offline and online media , 2008 .

[28]  P. Chatterjee,et al.  ARE UNCLICKED ADS WASTED? ENDURING EFFECTS OF BANNER AND POP-UP AD EXPOSURES ON BRAND MEMORY AND ATTITUDES , 2008 .

[29]  Andrea Everard,et al.  The effects of online advertising , 2007, Commun. ACM.

[30]  B. Roy.  Paradigms and Challenges , 2005 .

[31]  Viktor Krammer,et al.  An Effective Defense against Intrusive Web Advertising , 2008, 2008 Sixth Annual Conference on Privacy, Security and Trust.

[32]  Mateusz Piwowarski,et al.  Method of Criteria Selection and Weights Calculation in the Process of Web Projects Evaluation , 2014, ICCCI.

[33]  Jaroslaw Jankowski.  Balanced Approach to the Design of Conversion Oriented Websites with Limited Negative Impact on the Users , 2013, ICCCI.

[34]  Jaroslaw Jankowski,et al.  Increasing Website Conversions Using Content Repetitions with Different Levels of Persuasion , 2013, ACIIDS.

[35]  Przemyslaw Kazienko,et al.  AdROSA - Adaptive personalization of web advertising , 2007, Inf. Sci..