Elements of randomness are a common factor inmodern digital games, from simple rolls of a die tocomplex AI systems. These elements have an impacton how the player experiences a game. We believe thatexploring the field of luck analysis can benefit designersthrough an developed understanding of how such elementsaffect players. The developers of the digital card gameSlay the Spire has released 77 millions of instances ofplay and sample of these are explored in this study. Withthe use of data mining, data clustering and correlationanalysis the effect of elements of randomness present inSlay the Spire are analyzed. In conclusion, three playerskill groups were identified with the use of clustering:Winners, Low skill losers and High skill losers. Weobserved that people who succeeded in beating the game,had an increased amount of randomness in the formof cards by a factor of 1.82. Showing that more skilledplayers do not shy away from randomness but insteadembrace it more than lower skilled players.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:mau-43090 |
| Date | January 2021 |
| Creators | Trojanowski, Mikolaj, Andersson, Johan |
| Publisher | Malmö universitet, Institutionen för datavetenskap och medieteknik (DVMT) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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