The system contains three major functionalities. To imitate VR players’ movements and gestures an AI system is developed which uses gameplay recordings as navigation data. The subject game has an uncommon way of movement, in which the players use grappling hooks to navigate. This study demonstrates the applicability of an Artificial Intelligence (AI) system based on gameplay recordings for a Virtual Reality (VR) First-person Shooter (FPS) game called Vrena. VR game market and VR gamers are still a small fraction of the game industry and multiplayer VR games suffer from loss of their player base if the game owners cannot find other players to play with. Therefore, multiplayer game players favour playing against human players rather than NPCs. This reduces the quality of the gameplay experience. Experienced players can distinguish bots from human players and they can predict bot movements and strategies. Most of the game bots are built upon a rigid system with numbered decisions and animations. According to the findings, it has been determined that the level of realism offered by the designed virtual environment is sufficient to explain the Turkish horror culture to individuals.Ī well optimized Non-Player Character (NPC) as an opponent or a teammate is a major part of the multiplayer games. For this purpose, a 3D virtual museum was developed within the scope of the study, inspired by real characters and areas, and it was aimed for individuals to learn Turkish horror culture elements through tasks in different scenarios.The developed system was tested by 5 experts in the field as a preliminary study and the realism level of the created system was measured with the comments of the experts. At this point, the aim of the study is to teach individuals the Turkish horror culture by experiencing them in a realistic environment with various different stories in a virtual reality-based gamified system instead of teaching them in writing or verbally. In particular, there is a serious decrease in the sense of belonging in individuals due to the inability to transfer cultural heritage to the younger generations correctly. However, although the protection of cultural heritage is a very important issue for societies, there are serious problems in the accuracy of information or access to information due to the verbal or written communication of the subjects that need to be conveyed. The preservation of cultural heritage plays a very important role in terms of the sustainability of societies since culture is one of the most important phenomena that hold individuals together.
Range insensitivity remains an unresolved bias in MCDA.
We discuss implications: if gamification of tools for participatory decision‐making is to be promoted, it requires further research. Both treatments were experienced as neutral to positive, the gamified being more entertaining. Our gamification making the ranges salient did not help overcome this bias. However, in neither were weights sufficiently adjusted. Answers from 174 participants indicated that participants learnt about the objectives and constructed preferences in both the gamified and control treatments. We measured the effects with (1) a knowledge pre‐ and posttest, (2) the elicited weights and a range sensitivity index, and (3) an experience questionnaire based on self‐determination theory. This paper reports an experiment that assessed a gamified interface to (1) inform laypeople about the objectives to consider in wastewater management decisions, (2) assist them in constructing range‐based preferences, and (3) provide a positive experience. Online information on specialized topics could be more engaging by including game elements. Multi‐criteria decision analysis (MCDA) is well suited to address complex public policy problems but could benefit from new tools to involve many laypeople.
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