The purpose of this thesis is to explore and examine how gameplay experiences differ in the gacha game Genshin Impact (miHoYo, 2020). In particular, there is a focus on the economic systems of the game along with the general play experience. People can have different perspectives as veteran players or newbie players, so the objective is to find differences in how these players approach the reward systems of the game, and how their relationship to these systems is affected. This is done by utilizing a mixed-method approach, using aspects of both formal analysis and autoethnography. It is further explored how players interacted with these economic systems, with a focus on the harder to acquire, premium currency of Primogems. The characteristics of reward systems in Genshin Impact, particularly the content unlocking mechanisms of the game, are discussed further, as they have implications for both types of players. The paper goes deeper into discussing dark design patterns, which are prevalent in the experiences of both players. As Genshin Impact is a large game with a variety of content, this is further explored and related to relevant theory to better facilitate a discussion about possible design implications. By comparing and analyzing the experiences of both players in regards to relevant theory, it was concluded that at a certain point the game no longer concerns itself with rewarding players adequately. This was further compounded by the game offering less and less goals to work towards for players, as they simply run out of meaningful content to do. Players are distracted from this lack of a goal by expertly crafted dark design patterns, introduced to the players in such a way that they have all but no choice, but to engage in these patterns willingly.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-477009 |
Date | January 2022 |
Creators | Jėčius, Dominykas, Frestadius, Alexander |
Publisher | Uppsala universitet, Institutionen för speldesign |
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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