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Adding interaction to decision making support tools: What can be learned from the Capitalization Table
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Informatics and Media.
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The capitalization table is the system that aids companies in keeping ownership data. The current norm is a simple spreadsheet that does not provide for all the needed functionalities. This thesis investigates how designing a new interactive capitalization table can add knowledge to the broader area of interactive decision making support tools.

The iterative design process carried out in this thesis is user based, with qualitative interviews, prototyping and user testing as main methods.

Rather than merely the final design, the crucial point in this thesis is the knowledge that can be obtained from the case in hand, the ways it can be used to motivate design choices and how these can be transferred to similar systems that aid decision making. It can be concluded that enabling safe simulation and adding visual support are two crucial paradigms that add value to a decision support system.

Abstract [sv]

Denna uppsats har som syfte att utöka kunskapen om stödverktyg för beslutsfattande. Detta är gjort genom design av en så kallat ”Capitalization table”, ett system där företag hanterar ägarinformation.

En användarcentrerad forskningsmetod, innefattande kvalitativa intervjuer, prototyper och användarbaserad utvärdering, används för att styra designprocessen.

Istället för den slutgiltiga produkten så är det kunskapen som kan fås från designprocessen som är det viktiga i den här uppsatsen; hur kunskapen kan motivera designval och hur dessa kan användas i liknande system för beslutsfattande. Slutsatsen är att ”safe simulation” och visuell support är två viktiga koncept som skapar mervärde för ett stödverktyg för beslutsfattande.

Place, publisher, year, edition, pages
2016. , 51 p.
National Category
Human Aspects of ICT
Identifiers
URN: urn:nbn:se:uu:diva-298153OAI: oai:DiVA.org:uu-298153DiVA: diva2:944855
Subject / course
Human-Computer Interaction
Educational program
Master Programme in Human-Computer Interaction
Presentation
2016-06-02, Informatik och Media, Uppsala, 09:52 (English)
Supervisors
Examiners
Available from: 2016-06-30 Created: 2016-06-30 Last updated: 2016-06-30Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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Language
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Output format
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