lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
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
Measuring player experience on runtime dynamic difficulty scaling in an RTS game
Blekinge Institute of Technology.ORCID iD: 0000-0002-8591-1035
Blekinge Institute of Technology.
2009 (English)In: IEEE Symposium on Computational Intelligence and Games, 2009: CIG 2009, IEEE conference proceedings, 2009, p. 46-52Conference paper, Published paper (Refereed)
Abstract [en]

Do players find it more enjoyable to win, than to play even matches? We have made a study of what a number of players expressed after playing against computer opponents of different kinds in an RTS game. There were two static computer opponents, one that was easily beaten, and one that was hard to beat, and three dynamic ones that adapted their strength to that of the player. One of these three latter ones intentionally drops its performance in the end of the game to make it easy for the player to win. Our results indicate that the players found it more enjoyable to play an even game against an opponent that adapts to the performance of the player, than playing against an opponent with static difficulty. The results also show that when the computer player that dropped its performance to let the player win was the least enjoyable opponent of them all.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2009. p. 46-52
Keywords [en]
computer games, social networking (online)
National Category
Computer Sciences
Research subject
Computer and Information Sciences Computer Science, Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-42371DOI: 10.1109/CIG.2009.5286494ISBN: 978-1-4244-4814-2 (print)ISBN: 978-1-4244-4815-9 (print)OAI: oai:DiVA.org:lnu-42371DiVA, id: diva2:805265
Conference
IEEE Symposium on Computational Intelligence and Games (CIG)
Available from: 2015-04-15 Created: 2015-04-15 Last updated: 2018-01-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Hagelbäck, Johan

Search in DiVA

By author/editor
Hagelbäck, Johan
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
isbn
urn-nbn

Altmetric score

doi
isbn
urn-nbn
Total: 61 hits
CiteExportLink to record
Permanent link

Direct link
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