This paper can be seen as a first step towards developing genre tailored heuristics for visual novels. The focus being visual novels come from the fact that it is a genre of games that is growing in popularity globally. Besides players and developers, it is also popular among researchers because the genre is very accessible (Camingue, Carstensdottir & Melcer 2021). But let’s say the developers and researchers want to evaluate a visual novel they are creating, what methods would be fitting. There isn’t a lot of research on this, so the method suggested in this paper is heuristic evaluation, due to it being a very accessible method (Nielsen 1994). To tailor heuristics for this genre, a compiled list of heuristics was used to evaluate a number of visual novels and the data from the evaluation was analyzed and used to identify problems that weren’t addressed by the heuristics.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-22738 |
Date | January 2023 |
Creators | Lundberg, Sofie |
Publisher | Högskolan i Skövde, Institutionen för informationsteknologi |
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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