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Designing Explorable Interaction Based on Users’ Knowledge: A Case Study on a Multi-functional Printer Application

  • Dong-Seok Lee
  • Douglas Jihoon Kim
  • Un Sik Byun
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3101)

Abstract

Many studies on exploratory learning advocate that the label-following heuristic is the user’s basic and strongest exploration strategy (Polson, 1988). According to various observational studies, users exploit their prior knowledge when label-following fails. Their prior knowledge is classified by Yoon and Park’s (1997) task knowledge types (Lee and Yoon, 2000; Lee et al., 2001). This paper deals with how that knowledge guides users’ exploration. A framework for exploratory learning is suggested, which defines exploration as bi-directional search both from user goals and interface widgets. A case study shows that the framework assists designers to identify the source of usability problems and helps inspire design alternatives based on gathered users’ knowledge. Usability evaluation shows that the design alternatives resulted in better performance and user satisfaction.

Keywords

Usability Evaluation Control Panel Card Sorting User Goal Exploratory Learning 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Dong-Seok Lee
    • 1
  • Douglas Jihoon Kim
    • 2
  • Un Sik Byun
    • 3
  1. 1.Software Solution Lab.Digital Media R&D Center, Samsung Electronics.SuwonKorea
  2. 2.Corporate Design Center, Samsung ElectronicsSeoulKorea
  3. 3.Printer Design GroupSamsung Electronics

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