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Evaluation of Social Value Icons for a Domain-Specific Modeling Language

dc.contributor.authorFritsch, Andreas
dc.contributor.authorBetz, Stefanie
dc.contributor.editorEibl, Maximilian
dc.contributor.editorGaedke, Martin
dc.date.accessioned2017-08-28T23:47:54Z
dc.date.available2017-08-28T23:47:54Z
dc.date.issued2017
dc.description.abstractSustainability is one of the major challenges in modern society. Life Cycle Assessment with regard to sustainability is one of the current tools to asses and communicate a product’s impact on sustainability. But currently, life cycle assessments are difficult to communicate to the end-user due to their inherent complexity. Domain-specific modeling languages (DSML) can help to communicatecomplex information. Therefore, we have developed a DSML – TracyML – as a visual language to effectively communicate social sustainability of a product life cycle. Additionally, to help with effectively communicating the different aspects of social sustainability such as child labor and excessive working hours (among others), we have enriched the DSML with social value icons, representing these different aspects. In order to evaluate whether the icons are understood as we intended them to be, we conducted a survey. Thus, in this paper, we present an evaluation of the associativeness of TracyML’s social value icons based on the Multiple Index Approach using an online survey. The main outcome of the evaluation is that the icons (except for one) are all comprehensible and associated with the correct social values.en
dc.identifier.doi10.18420/in2017_234
dc.identifier.isbn978-3-88579-669-5
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2017
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-275
dc.subjectSocial Life Cycle Assessment
dc.subjectDomain-Specific Modeling Languages
dc.subjectMultiple Index Approach
dc.titleEvaluation of Social Value Icons for a Domain-Specific Modeling Languageen
gi.citation.endPage2328
gi.citation.startPage2323
gi.conference.date25.-29. September 2017
gi.conference.locationChemnitz
gi.conference.sessiontitleQualitative und quantitative Ansätze in der UsabilityForschung

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