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Designprinciper för intuitivitet i komplexasystem
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering.
2019 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
Design principles for intuitivity in complex systems (English)
Abstract [sv]

Det kan vara svårt att uppnå intuitivitet i komplexa system. Denna studie syftar till att identifieravilka designprinciper som främjar intuitivitet i komplexa system samt rekommendationer om hursystemutvecklare bör arbeta i utvecklingsprocessen för att göra systemen intuitiva. Teori somrelaterar till komplexa system, användbarhet och intuition har undersökts. Etableradedesignprinciper för gränssnittsdesign har utvärderats för att identifiera vilka designprinciper somblir centrala för komplexa system. En kvalitativ studie har använts för att utforska och identifieraförbättringsområden i utvecklingsprocessen av ett intuitivt system. De identifieradedesignprinciperna för intuitivitet i komplexa system presenteras och användes för att gerekommendationer. Detta baserades på de förbättringsområden som upptäcktes under desemistrukturerade intervjuer med ett utvalt företaget. Resultatet jämförs med teorikapitlet omintuition. Slutligen presenteras studiens slutsatser och förslag till vidare studier.

Abstract [en]

It can be difficult to achieve intuitiveness in complex systems. This study aims to identify whichdesign principles promotes intuitiveness in complex systems as well as recommendations ofhow developers can work in developing these systems. Literature of complex systems, usabilityand intuition have been surveyed. Established principles of design have been evaluated toidentify which principles relates to complex systems. A qualitative study was used to exploreand identify areas of improvement in the development of an intuitive system. The identifiedprinciples for intuitiveness in complex systems are presented and then used to providerecommendations for the areas of improvement identified in interviews. The results arecompared with theory on intuition. Lastly, the concluding remarks and suggestions for furtherstudies are presented.

Place, publisher, year, edition, pages
2019. , p. 70
National Category
Information Systems, Social aspects
Identifiers
URN: urn:nbn:se:ltu:diva-74666OAI: oai:DiVA.org:ltu-74666DiVA, id: diva2:1326179
External cooperation
eMaintenance365
Subject / course
Student thesis, at least 15 credits
Supervisors
Examiners
Available from: 2019-06-24 Created: 2019-06-17 Last updated: 2019-06-24Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • en-US
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  • nn-NB
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  • Other locale
More languages
Output format
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  • asciidoc
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