Three recommender approaches to interface controls reduction

  • Authors:
  • Nathan Oostendorp;Paul Resnick

  • Affiliations:
  • University of Michigan, Ann Arbor, MI, USA;University of Michigan, Ann Arbor, MI, USA

  • Venue:
  • Proceedings of the 2008 ACM conference on Recommender systems
  • Year:
  • 2008

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Abstract

Interface Controls Reduction is the design task of generating simplified interface controls for setting a larger, more complex set of controls. We explore three different empirical approaches to the task: preset sharing, point clustering, and principal component analysis. All three draw on the experience of lead users to recommend simplified controls for others. A case study where they were applied as part of an iterative development cycle with hundreds of users reveals the advantages and challenges of each approach.