Development of quantitative metrics to support UI designer decision-making in the design process

  • Authors:
  • Young Sik Yoon;Wan Chul Yoon

  • Affiliations:
  • Department of Industrial Engineering, KAIST, Taejeon, Korea;Department of Industrial Engineering, KAIST, Taejeon, Korea

  • Venue:
  • HCI'07 Proceedings of the 12th international conference on Human-computer interaction: interaction design and usability
  • Year:
  • 2007

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Abstract

The UI designer must be able to anticipate cognitive difficulties of users in the UI design process. However, the designer is likely to make erroneous judgments in the context of increasing functionality. Furthermore, time constraints in the development process exacerbate the design problem. There are various techniques to support the UI designer in the design process, including abstract design principles, specific design guidelines, design cases, design inspections, and design metrics. Metrics can summarize the status of a UI design solution more objectively and more accurately than human designers. This paper aims to develop quantitative metrics based on a unified framework for interaction design, which decomposes UI design problem into the four components: information architecture, task procedure, system dynamics, and physical interface. Three metrics were proposed to assist designer's decision-making, including incongruity, complexity, and inefficiency. A case study shows that the proposed metrics can support the designer's decision making in an efficient manner.