PQual: Automating Web Pages Qualitative Evaluation

Waleed Hashmi, Moumena Chaqfeh, Lakshmi Subramanian, Yasir Zaki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The increasing complexity of web pages has brought a number of solutions to offer simpler or lighter versions of these pages. The qualitative evaluation of the new versions is commonly carried out relying on user studies. In addition to the associated costs, running user studies might become extremely challenging due to health, travel, and financial constraints. Moreover, user studies are prone to subjectivity, which makes it difficult to compare the results of different studies. In this paper, we propose PQual, a tool that enables the automation of the qualitative evaluation of web pages using computer vision. Results show that PQual computes comparable similarity scores to the scores provided by human raters. In addition, it can effectively evaluate all the functionality of a web page, whereas humans might skip many of the functional elements during the evaluation.

Original languageEnglish (US)
Title of host publicationUIST 2020 - Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology
PublisherAssociation for Computing Machinery, Inc
Pages148-150
Number of pages3
ISBN (Electronic)9781450375153
DOIs
StatePublished - Oct 20 2020
Event33rd Annual ACM Symposium on User Interface Software and Technology, UIST 2020 - Virtual, Online, United States
Duration: Oct 20 2020Oct 23 2020

Publication series

NameUIST 2020 - Adjunct Publication of the 33rd Annual ACM Symposium on User Interface Software and Technology

Conference

Conference33rd Annual ACM Symposium on User Interface Software and Technology, UIST 2020
CountryUnited States
CityVirtual, Online
Period10/20/2010/23/20

Keywords

  • qualitative evaluation
  • similarity score
  • web pages

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Software

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