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User Experience Patterns from Scientific and Industry Knowledge: An Inclusive Pattern Approach
Authors:
Alexander G. Mirnig
Alexander Meschtscherjakov
Nicole Perterer
Alina Krischkowsky
Daniela Wurhofer
Elke Beck
Arno Laminger
Manfred Tscheligi
Keywords: basics on patterns; design patterns; pattern identification and extraction; validate patterns
Abstract:
Findings from scientific disciplines with close ties to the industry – such as Human-Computer Interaction (HCI) – can be useful for advancing both the scientific discipline itself as well as the associated industry. It is, therefore, an additional challenge to consolidate and convert the scientific knowledge gained into a format of which is applicable and understandable in practice in order to provide meaningful and usable tools for practitioners in their daily work routines. We used patterns to combine research results and industry know-how into solutions for distraction-related design problems in the automotive domain. In this paper, we present our pattern generation process that resulted in the creation of 16 patterns with input from scientists, as well as industrial stakeholders, in several key phases. Thereby, we discuss the advantages of patterns as a means to put scientific knowledge into practice. The contribution of this paper is a pattern generation and validation process and structure tailored towards combining scientific results and industry knowledge, as well as our pattern structure that resulted from this process.
Pages: 38 to 44
Copyright: Copyright (c) IARIA, 2015
Publication date: March 22, 2015
Published in: conference
ISSN: 2308-3557
ISBN: 978-1-61208-393-3
Location: Nice, France
Dates: from March 22, 2015 to March 27, 2015