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      Computational Model for Webpage Aesthetics using SVM

      ,

      Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017) (HCI)

      digital make-believe, with delegates considering our expansive

      3 - 6 July 2017

      Computational Model, Aesthetics Prediction, Support Vector Machine, Empirical Study, Classification, ANOVA

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          Abstract

          Computational model for webpage aesthetics prediction helps designer to determine usability and to improve it. It has been reported that positional geometry of the webpage objects are primarily important for aesthetics computation. In this paper, we propose a computational model for predicting webpage aesthetics based on the positional geometry features of webpage objects. We have considered the best known 13 features that affect aesthetics. By varying these 13 features, we have designed 52 interfaces and rated them by 100 users in a 5 point Likerts scale. Our 1 dimensional ANOVA study on users rating shows, 9 out of the 13 features are important for webpage aesthetics. Based on these 9 features, we created a computational model for webpage aesthetics prediction. Our computational model works based on Support Vector Machine (SVM). To judge the efficacy of our model, we considered 10 popular webpages, and got them rated by 80 users. Experimental results show that our computational model can predict webpage aesthetics with an accuracy of 90%.

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          Author and article information

          Contributors
          Conference
          July 2017
          July 2017
          : 1-5
          Affiliations
          Department of Computer Science and Engineering Department of Computer Science and Engineering

          Indian Institute of Technology, Guwahati Indian Institute of Technology, Guwahati

          Guwahati - 781039, Assam,India
          Article
          10.14236/ewic/HCI2017.8
          © Maity et al. Published by BCS Learning and Development Ltd. Proceedings of British HCI 2017 – Digital Make-Believe. Sunderland, UK.

          This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

          Proceedings of the 31st International BCS Human Computer Interaction Conference (HCI 2017)
          HCI
          31
          Sunderland, UK
          3 - 6 July 2017
          Electronic Workshops in Computing (eWiC)
          digital make-believe, with delegates considering our expansive
          Product
          Product Information: 1477-9358BCS Learning & Development
          Self URI (journal page): https://ewic.bcs.org/
          Categories
          Electronic Workshops in Computing

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