Aspect-driven, data-reflective and context-aware user interfaces design

  • Authors:
  • Tomas Cerny;Karel Cemus;Michael J. Donahoo;Eunjee Song

  • Affiliations:
  • Czech Technical University, Prague, Czech Rep.;Czech Technical University, Prague, Czech Rep.;Baylor University, Waco, TX;Baylor University, Waco, TX

  • Venue:
  • ACM SIGAPP Applied Computing Review
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

The increasing use of Web-based applications continues to broaden the user groups of enterprise applications at large. Since ordinary users often equate the quality of user interface (UI) with the quality of the entire application, the importance of providing easy-to-use UIs has been significantly increasing. Unfortunately, designing a single UI satisfying all end users remains challenging. To address this issue, researchers and developers are looking to Context-aware/Adaptive UIs (CUIs) that aim to provide end users with more personalized user interaction experiences. Although multiple proposals have been made, very few production systems provide such malleable interfaces due to the excessive cost of development and maintenance. In this paper, we propose a technique that aims to reduce development and maintenance efforts of CUI to a level comparable with a single UI. Unlike most of the existing CUI approaches, our technique does not involve an external UI model. Instead, it aims to reflect runtime-information and structures already captured in the application, while extending them to provide an appropriate CUI. With this technique, developers do not design forms or tables directly for each page or panel. Instead they design generic and reusable transformation rules capable of presenting application data instances in the UI while considering the runtime context. To demonstrate our technique and its impact on CUI development and maintenance, we provide a case study. Moreover, we present our experience from its application to an existing production-level enterprise application, with high demands on performance.