Literature DB >> 17447671

Formal analysis and automatic generation of user interfaces: approach, methodology, and an algorithm.

Michael Heymann1, Asaf Degani.   

Abstract

OBJECTIVE: We present a formal approach and methodology for the analysis and generation of user interfaces, with special emphasis on human-automation interaction.
BACKGROUND: A conceptual approach for modeling, analyzing, and verifying the information content of user interfaces is discussed.
METHODS: The proposed methodology is based on two criteria: First, the interface must be correct--that is, given the interface indications and all related information (user manuals, training material, etc.), the user must be able to successfully perform the specified tasks. Second, the interface and related information must be succinct--that is, the amount of information (mode indications, mode buttons, parameter settings, etc.) presented to the user must be reduced (abstracted) to the minimum necessary.
RESULTS: A step-by-step procedure for generating the information content of the interface that is both correct and succinct is presented and then explained and illustrated via two examples.
CONCLUSIONS: Every user interface is an abstract description of the underlying system. The correspondence between the abstracted information presented to the user and the underlying behavior of a given machine can be analyzed and addressed formally. APPLICATIONS: The procedure for generating the information content of user interfaces can be automated, and a software tool for its implementation has been developed. Potential application areas include adaptive interface systems and customized/personalized interfaces.

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Mesh:

Year:  2007        PMID: 17447671     DOI: 10.1518/001872007X312522

Source DB:  PubMed          Journal:  Hum Factors        ISSN: 0018-7208            Impact factor:   2.888


  4 in total

1.  Formally verifying human-automation interaction as part of a system model: limitations and tradeoffs.

Authors:  Matthew L Bolton; Ellen J Bass
Journal:  Innov Syst Softw Eng       Date:  2010-03-25

2.  Generating Phenotypical Erroneous Human Behavior to Evaluate Human-automation Interaction Using Model Checking.

Authors:  Matthew L Bolton; Ellen J Bass; Radu I Siminiceanu
Journal:  Int J Hum Comput Stud       Date:  2012-11       Impact factor: 3.632

3.  Planning of electroporation-based treatments using Web-based treatment-planning software.

Authors:  Denis Pavliha; Bor Kos; Marija Marčan; Anže Zupanič; Gregor Serša; Damijan Miklavčič
Journal:  J Membr Biol       Date:  2013-06-19       Impact factor: 1.843

4.  Human-Automation Interaction Design for Adaptive Cruise Control Systems of Ground Vehicles.

Authors:  Hwisoo Eom; Sang Hun Lee
Journal:  Sensors (Basel)       Date:  2015-06-12       Impact factor: 3.576

  4 in total

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