Persuasive Gaming: Identifying the different types of persuasion through games

The academic study of persuasion through digital games started from a game-centric approach by trying to understand how persuasiveness can be structured within digital games. However, players' performances and the context in which games are played also have an important role in the process of persuasion. The role of these two factors has been the focus of attention in recent research on persuasive games through studies that try to find a balance between players’ preferences and needs and persuasive goals. The objective of this paper is to broaden the understanding of the potential of persuasive gaming practices by providing a theoretical framework that serves to structure previous theoretical approaches on how digital games can be used to persuade players. This theoretical framework serves to explain the different types of persuasion that can be established through digital games, which contributes to better understand how serious games should be designed to respond to different types of serious goals. The three types of persuasion proposed here are: exocentric persuasion, as a game-centric approach for persuasion; endocentric persuasion, as a player-centric approach for persuasion; and game-mediated persuasion, as a contextcentric approach for persuasion

End user programming of awareness systems : addressing cognitive and social challenges for interaction with aware environments

The thesis is put forward that social intelligence in awareness systems emerges from end-Users themselves through the mechanisms that support them in the development and maintenance of such systems. For this intelligence to emerge three challenges have to be addressed, namely the challenge of appropriate awareness abstractions, the challenge of supportive interactive tools, and the challenge of infrastructure. The thesis argues that in order to advance towards social intelligent awareness systems, we should be able to interpret and predict the success or failure of such systems in relationship to their communicational objectives and their implications for the social interactions they support. The FN-AAR (Focus-Nimbus Aspects Attributes Resources) model is introduced as a formal model which by capturing the general characteristics of the awareness-systems domain allows predictions about socially salient patterns pertaining to human communication and brings clarity to the discussion around relevant concepts such as social translucency, symmetry, and deception. The thesis recognizes that harnessing the benefits of context awareness can be problematic for end-users and other affected individuals, who may not always be able to anticipate, understand or appreciate system function, and who may so feel their own sense of autonomy and privacy threatened. It introduces a set of tools and mechanisms that support end-user control, system intelligibility and accountability. This is achieved by minimizing the cognitive effort needed to handle the increased complexity of such systems and by enhancing the ability of people to configure and maintain intelligent environments. We show how these tools and mechanisms empower end-users to answer questions such as "how does the system behave", "why is something happening", "how would the system behave in response to a change in context", and "how can the system’s behaviour be altered" to achieve intelligibility, accountability, and end-user control. Finally, the thesis argues that awareness applications overall can not be examined as static configurations of services and functions, and that they should be seen as the results of both implicit and explicit interaction with the user. Amelie is introduced as a supportive framework for the development of context-aware applications that encourages the design of the interactive mechanisms through which end-users can control, direct and advance such systems dynamically throughout their deployment. Following the recombinant computing approach, Amelie addresses the implications of infrastructure design decisions on user experience, while by adopting the premises of the FN-AAR model Amelie supports the direct implementation of systems that allow end-users to meet social needs and to practice extant social skills