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Make It Your Own: Digital Applications for Customized Information in Museums: Conception and Evaluation of an App
Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.
2023 (English)Independent thesis Advanced level (degree of Master (Two Years)), 80 credits / 120 HE creditsStudent thesis
Abstract [en]

Visiting a museum is a popular activity for many people. Be it to find out about certain museum objects or to feel entertained. An important contribution to a satisfying museum experience is the information about the objects. On the one hand, the provided information should be about them, but at the same time reflect the interests of the visitor. Since the information presented on information labels is often only rudimentary, visitors can follow human guides or use digital tools that display additional information. The problem, however, that exists despite a wide range of offers, is that the information is designed for the general public and cannot be customized by the visitor. In this way, information is presented that is either not of interest to the visitor or, in the worst case, that the visitor does not understand because prior knowledge is lacking. Even if existing research deals with the presentation of information and the preparation of digital applications, the customizing aspect is often missing. This master thesis shows to what extent information and functions embedded in an app can be customized. A prototype of an app was constructed that, based on an example museum, presents filter options too utput customized information about a museum object. The prototype was tested in a user study by six participants. The participants tested the prototype by processing test tasks and answered an evaluation questionnaire. Three of the six participants also completed a group interview. The goal was to find out to what extent the filters offered reflect the needs of the participants and which functions and aspects are important for customization. The results show that despite the current lack of focus on prior knowledge, filtering based on it is not very effective. In addition, suggestions were made as to how groups could benefit from the more individual use of the app. Future research can build on the achieved results by integrating the proposed functions and testing them in further studies to expand the customization step by step.

Place, publisher, year, edition, pages
2023. , p. 95
Keywords [en]
app prototype, customization, customized information, filters, information structuring, museum tour app
National Category
Other Humanities not elsewhere specified
Identifiers
URN: urn:nbn:se:lnu:diva-125405OAI: oai:DiVA.org:lnu-125405DiVA, id: diva2:1808695
Educational program
Digital humanities, master programme, 120 credits
Supervisors
Examiners
Available from: 2023-11-01 Created: 2023-10-31 Last updated: 2023-11-01Bibliographically approved

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Katharina_Ullmann_Master_Thesis(3662 kB)202 downloads
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File name FULLTEXT01.pdfFile size 3662 kBChecksum SHA-512
66886d89724bbc08c802bad3dabcd4c88810ba1b76b7ae3ffe13eba5c55d243e54d6596d0c65c0368ead8a063aa9f635f6605c2cdaebdf39c128deba946ec7a1
Type fulltextMimetype application/pdf

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf