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Player types and emotional attachments to NPCs: A methodological approach to identifying preferences regarding emotional attachments for an interactive narrative game target audience
University of Skövde, School of Informatics.
2022 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The aim of this thesis is to demonstrate a methodological approach to explore a potential connection between player types and preferences in emotional character attachments. To do so, the thesis investigates connections between player types and emotional attachments to NPCs by conducting two studies. Study 1 provides general data about the audience of Detroit: Become Human (2018) through a survey about player types and how players feel about NPCs from the game, and forms three hypotheses. Study 2 tests the hypotheses through a second survey. The results demonstrate how to gather data regarding player types and preferences, indicates that Performers prefer to form relationships with NPCs that display traits related to a Close Friend attachment, and suggests that Explorers display a preference for pragmatic traits. However, future research must further examine other player types’ preferences to fully support the claim that player types affect preferences in emotional attachments to NPCs.

Place, publisher, year, edition, pages
2022. , p. 45
Keywords [en]
player types, emotional attachments, target audience, audience analysis, methodology
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:his:diva-21408OAI: oai:DiVA.org:his-21408DiVA, id: diva2:1676780
Subject / course
Informationsteknologi
Educational program
Spelutveckling - masterprogram
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Examiners
Available from: 2022-06-27 Created: 2022-06-27 Last updated: 2022-06-27Bibliographically approved

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • apa-cv
  • 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