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A Participatory Evaluation Method of Graphic User Interface Storyboards: FAST AIDE (Function Annotated Storyboards Targeting Applicability, Importance, Design, Elaborations)

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Universal Access in Ambient Intelligence Environments

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4397))

Abstract

The FAST AIDE (Function Annotated Storyboards Targeting Applicability, Importance, Design, Elaborations) method was developed to capture qualitative and quantitative feedback from highly specialized, expert end-users during the storyboarding stage of new software applications. Unlike traditional approaches, FAST AIDE does not rely on the generation of walk-through scripts or scenarios, but is focused on software features and functionalities. Our rationale is based on the cognitive concept of spreading activation. Spreading activation is hypothesized to occur within knowledge structures similar to organized networks of words or concepts (i.e., nodes). FAST AIDE taps into experiential background of specialized users by utilizing feature dimensions and functionality characteristics to trigger relevant memory. In addition to presenting an approach to knowledge solicitation, FAST AIDE employs a combination data collection questionnaire tool in order to facilitate data evaluation.   The paper provides a background and a guide to the implementation of the FAST AIDE method.

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Constantine Stephanidis Michael Pieper

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Bahr, G.S., Wheeler Atkinson, B.F., Walwanis Nelson, M.M. (2007). A Participatory Evaluation Method of Graphic User Interface Storyboards: FAST AIDE (Function Annotated Storyboards Targeting Applicability, Importance, Design, Elaborations). In: Stephanidis, C., Pieper, M. (eds) Universal Access in Ambient Intelligence Environments. Lecture Notes in Computer Science, vol 4397. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71025-7_17

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  • DOI: https://doi.org/10.1007/978-3-540-71025-7_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-71024-0

  • Online ISBN: 978-3-540-71025-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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