In this study we aim to describe in what ways the behaviour of non-player characters (NPCs) affects to what extent the player finds the game experience to be believable. To this end, we have conducted an online survey, where respondents were asked to classify and describe NPCs. Furthermore, we also examined recordings of NPCs in games. These data sources were analysed using a model for NPC social believability in order to describe the effects of NPC behaviour in relation to how different types of NPCs are perceived as being believable. Based on this we were able to construct a model of NPC believability, which describes the NPC’s level of complexity and ability to handle a mutable social context. As described by the model, NPCs are currently less capable of handling changing social contexts. They do, however, show promise, and given current emerging technologies it is feasible that new types of more socially capable NPCs will arise within the near future.
This paper presents a method for gathering and evaluating user attitudes towards previously released video games. A three-part video game franchise was selected, and all user reviews of these games were collected. The most frequently mentioned words of the game were derived from this dataset through word frequency analysis. The words, called "aspects" were then further analyzed through a manual aspect based sentiment analysis. The final analysis showed that the rating of user reviews to a high degree correlate with the sentiment of the aspect in question. This knowledge is valuable for a developer who wishes to learn more about previous games success or failure factors.
CCS CONCEPTS• Applied computing → Computers in other domains → Personal computers and PC applications → Computer games KEYWORDS User experience; user expectations; sentiment analysis.
ACM Reference format:B.Strååt, H.Verhagen, H
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