Personality-targeted Gamification

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Several research studies have been showing that personalized gameful solutions can lead to higher engagement and performance. However, personalized gameful design faces two challenges: deciding how to select game elements and activities that are appealing to different users, and deciding how to adapt the experience to each user. In this talk, Gustavo reports on the latest research and his own experience designing personalized gameful solutions. To solve the first challenge (design), he will show how to use the classification of gameful design elements, the gameful design heuristics, and the user types models to create solutions that are appealing to different users. For the second challenge (adaptation), he will discuss strategies for customization (letting the user adjust their experience at will) or personalization (having the system automatically learn about the user and make adjustments). Keynote presented at Gamification Europe 2020.

Personalized Gameful Design

Gustavo Tondello

The Games User Research literature has advanced considerably on understanding why people play games and what different types of games or mechanics they prefer. However, what has been less studied is how models of player preferences explain their game choices. In this study, we address this question by analyzing data about the games that participants enjoy, their player trait scores, and their preferred game elements and playing styles. The results provide evidence that these scores can significantly explain participants’ preferences for different games. Additionally, we provide information about the characteristics of players who enjoy each game. This work was presented at CHI PLAY 2019.

Player Characteristics and Video Game Preferences

Gustavo Tondello

Player typology models classify different player motivations and behaviours. These models are necessary to design personalized games or to target specific audiences. However, many models lack validation and standard measurement instruments. Additionally, they rely on type theories, which split players into separate categories. Yet, personality research has lately favoured trait theories, which recognize that people's preferences are composed of a sum of different characteristics. Given these shortcomings of existing models, we developed a player traits model built on a detailed review and synthesis of the extant literature, which introduces five player traits: aesthetic orientation, narrative orientation, goal orientation, social orientation, and challenge orientation. Furthermore, we created and validated a 25-item measurement scale for the five player traits. This scale outputs a player profile, which describes participants' preferences for different game elements and game playing styles. Finally, we demonstrate that this is the first validated player preferences model and how it serves as an actionable tool for personalized game design.

"I don't fit into a single type": A Trait Model and Scale of Game Playing Pre...

Gustavo Tondello

These are the slides of my Ph.D. thesis oral defence at the University of Waterloo on June 20, 2019. Gameful design, the process of creating a system with affordances for gameful experiences, can be used to increase user engagement and enjoyment of digital interactive systems. It can also be used to create applications for behaviour change in areas such as health, wellness, education, customer loyalty, and employee management. However, existing research suggests that the qualities of users, such as their personality traits, preferences, or identification with the task, can influence gamification outcomes. Given how user qualities shape the gameful experience, it is important to understand how to personalize gameful systems. Current evidence suggests that personalized gameful systems can lead to increased user engagement and be more effective in helping users achieve their goals than generic ones. However, to create this kind of system, designers need a specific method to guide them in personalizing the gameful experience to their target audience. To address this need, this thesis proposes a method for personalized gameful design with three steps: (1) classification of user preferences, (2) classification and selection of gameful design elements, and (3) heuristic evaluation of the design. Furthermore, this thesis describes the design, implementation, and pilot evaluation of a software platform for the study of personalized gameful design. It integrates nine gameful design elements built around a main instrumental task, enabling researchers to observe and study the gameful experience of participants. The platform is flexible so the instrumental task can be changed, game elements can be added or removed, and the level and type of personalization or customization can be controlled. This allows researchers to generate different experimental conditions to study a broad range of research questions. Our personalized gameful design method provides practical tools and clear guidelines to help designers effectively build personalized gameful systems.

Dynamic Personalization of Gameful Interactive Systems

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Goal setting theory has been used for decades to explain how to motivate people to perform better in work related tasks, but more recently gamification has also gained attention as an alternative method to increase employee engagement and performance at work. However, despite goal setting and feedback being at the core of gameful implementations, there is a lack of literature explaining how gamification works through the lens of goal setting theory or suggesting how goal setting concepts and recommendations can be employed to improve gameful systems. Therefore, we present a conceptual framework that establishes a relationship between the goal setting concepts and gamification concepts and mechanisms. Next, we describe how this framework can help explain the mechanisms behind gamification and suggest potential improvements to current gameful design methods. Finally, we propose directions for future empirical research aimed to apply this conceptual framework in practice.

A Theory of Gamification Principles Through Goal-Setting Theory

Gustavo Tondello

We propose a conceptual framework of player preferences based on two dimensions: game elements and game playing styles. To investigate these two concepts, we conducted an online survey of player preferences, which allowed us to create a taxonomy of nine groups of game elements and five groups of game playing styles. These two concepts are foundational to games, which means that our model can be used by designers to create games that are tailored to their target audience.

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