A framework for developing user-based adaptive gamified systems

Abstract

Gamification, which is the use of game elements in a non-game context, has become a trend in many industries. It is  used as a means for motivating and engaging users and influencing their behaviors. Thus, during the last few years,  many researchers have attempted to find a way to design and implement gamified systems that are adaptively  personalized based on user types. This paper proposes a framework that aims to aid software engineers in  systematically designing adaptively personalized gamification applications of any context type by adapting the  appearance of gamification elements based on each user type. The framework introduces a method that provides a  systematic means to modify the system at runtime (i.e., while the system is in use) based on the user’s preferences and  behavior by changing the existing elements based on the usage of each user. The researchers validate the proposed  framework using a case study conducted with employees of a largescale software development company. By applying  all their practical comments, the methods of the proposed framework were enhanced. Moreover, to formalize the  proposed framework the researchers develop an ontology that implements the mappings between game elements and  user types by defining rules that govern their usage. In this paper, an ontology validation is presented including the use of Reasoner, Instances, SPARQL queries, and requirements model implementation. Also, a sample prototype is  presented on one of the most used applications and show how the researchers apply this framework to it.