Player behavior and personality modeling for interactive storytelling in games

A literature review of Empirical Evidence on Procedural Content Generation in Game-Related Implementation

“…Another research also has been done by combining ASP with evolutionary algorithm to generate and optimize maps in a level generation by utilizing ASP logical nature [42]. Artificial neural network (ANN) [76] Artificial neural network (ANN) is a form of computing system that is designed to mimic how the human brain works, instead of calling it a model or an algorithm, it works more like a framework due to its nature of applying multiple machine learning algorithm on its process, nevertheless, on this context, ANN is considered to be a method of delivery to create a PCG outputs. As a framework, the work is usually done by combining the said framework with multiple other algorithm, one work combines Big-Five model, nondeterministic planning algorithm, along with ANN to create a personalized interactive storytelling, by using the player behavior to generate player-specific quests [76].…”

“…Artificial neural network (ANN) [76] Artificial neural network (ANN) is a form of computing system that is designed to mimic how the human brain works, instead of calling it a model or an algorithm, it works more like a framework due to its nature of applying multiple machine learning algorithm on its process, nevertheless, on this context, ANN is considered to be a method of delivery to create a PCG outputs. As a framework, the work is usually done by combining the said framework with multiple other algorithm, one work combines Big-Five model, nondeterministic planning algorithm, along with ANN to create a personalized interactive storytelling, by using the player behavior to generate player-specific quests [76]. Coevolutionary genetic algorithm (CGA) [16] Coevolutionary genetic algorithm (CGA) is an advanced form of evolutionary algorithm that utilize a subjective fitness value, such that the evaluation of the individuals in the algorithm are evaluated based on its interaction with other individuals.…”

“…More on the focused content, as mentioned before, level generation are the most prevalent type of content being focused on PCG researches based on paper found, however, several other contents such as quests [76] and world objects [85], [96] also exist to a certain extent, as such, any form of non-level generation PCG would have a rather large novelty compared to level generation.…”

Towards a Conceptual Framework of Comprehensive Video Game Player Profiles: Player Models, Mental Models, and Behavior Models

“…This may be used to develop holistic player profiles that can be employed by game designers and researchers to better understand player behavior (Tondello et al, 2018). A player profile is an abstract description of a player's characteristics, both in the real world and in the game environment (de Lima et al, 2018), and should be informed by player data that can be obtained through a variety of means, such as observation, play testing, and psychometric measurements (Cowley & Charles, 2016). As such, they rely on capturing cognition coming from 'inside' a player, or on cognition used in the world, that is, knowledge executed by a player (game behaviors).…”

“…We propose that developing a structured approach to generate comprehensive player profiles, drawing from multiple streams of assessment, is an important next step for video game research. We also believe that constructing effective holistic player profiles must be a multidisciplinary effort that requires collaboration among researchers from fields such as human factors, computer science, experimental psychology, and game analytics (comprising aspects of big data and analytics) (de Lima et al, 2018).…”