CrowdAdapt: enabling crowdsourced web page adaptation for individual viewing conditions and preferences

  • Authors:
  • Michael Nebeling;Maximilian Speicher;Moira C. Norrie

  • Affiliations:
  • ETH Zurich, Zurich, Switzerland;ETH Zurich, Zurich, Switzerland;ETH Zurich, Zurich, Switzerland

  • Venue:
  • Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems
  • Year:
  • 2013

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Abstract

The range and growing diversity of new devices makes it increasingly difficult to design suitable web interfaces for every browsing client. We present CrowdAdapt - a context-aware web design tool that supports developers in the creation of adaptive layout solutions for a wide variety of use contexts by crowdsourcing web site adaptations designed for individual viewing conditions and preferences. We focus on one experiment we conducted for an existing news web site using CrowdAdapt (i) to explore the design space in terms of layout alternatives created by the crowd, (ii) to identify adaptation preferences with respect to different viewing situations, and (iii) to assess the perceived quality of crowd-generated layouts in terms of reading comfort and efficiency. The results suggest that crowdsourced adaptation could lead to very flexible web interfaces informed by individual end-user requirements. In particular, scenarios such as the adaptation to large-screen contexts that the majority of web sites fail to address could be supported with relatively little effort.