The Hidden Value of Patterns – Using Design Patterns to Whitebox Technology Development in Legal Assessments

Item Type Conference or Workshop Item (Paper)
Abstract

Higher legal standards with regards to data protection of individuals such as the European General Data Protection Regulation (GDPR) increase the pressure on developing lawful technologies. The development requires feedback from stakeholders such as legal experts that lack technical knowledge but are required to understand IT artifacts. As a solution, patterns can support interdisciplinary system development. We demonstrate how interdisciplinary patterns can support legal experts in arguing about technologies in court by introducing a law simulation study which is a well-known evaluation method in law. Our results show that patterns support legal experts in their argumentation about technologies in court. We provide theoretical contributions concerning cognitive fit theory about how patterns act as a bridge between the internal and external representation of problems and improve problem-solving performance related to the legal assessment of technology. In addition, we provide practical guidance for codifying and communicating design knowledge through patterns.

Authors Dickhaut, Ernestine; Janson, Andreas & Leimeister, Jan Marco
Research Team IWI6
Language English
Keywords Cognitive Fit Theory, Design Pattern, Law Simulation Study
Subjects information management
HSG Classification contribution to scientific community
Date 10 March 2021
Event Title 16th International Conference on Wirtschaftsinformatik (WI 2021)
Event Location University of Duisburg-Essen, Germany
Event Dates 10.03.2021
Depositing User Mahei Li
Date Deposited 20 Dec 2020 19:53
Last Modified 20 Dec 2020 19:54
URI: https://www.alexandria.unisg.ch/publications/261774

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Dickhaut, Ernestine; Janson, Andreas & Leimeister, Jan Marco: The Hidden Value of Patterns – Using Design Patterns to Whitebox Technology Development in Legal Assessments. 2021. - 16th International Conference on Wirtschaftsinformatik (WI 2021). - University of Duisburg-Essen, Germany.

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https://www.alexandria.unisg.ch/id/eprint/261774
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