Giovanni Ribeiro
Master's Student, Games User Research
Giovanni is a Master’s student pursuing a M.A.Sc in Systems Design Engineering under the supervision of Dr. Lennart Nacke at the University of Waterloo. He is the first Waterloo student to be enrolled in the Saskatchewan-Waterloo Games User Research (SWaGUR) program. With a background in Psychology (B.A.) he is interested in how games make us feel different emotions. His research uses biological signal detection techniques such as skin response, facial electromyography, and heart rate to explore player reactions to game content.
Projects
Publications
Year 2017
Gustavo F. Tondello,
Rina R. Wehbe,
Rita Orji,
Giovanni Ribeiro, and
Lennart E. Nacke. 2017. A Framework and Taxonomy of Videogame Playing Preferences. In
Proceedings of the 2017 Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '17. Amsterdam, Netherlands. ACM.
doi:10.1145/3116595.3116629 @inproceedings{Tondello2017d,
abstract = {Player preferences for different gaming styles or game elements has been a topic of interest in human-computer interaction for over a decade. However, current models suggested by the extant literature are generally based on classifying abstract gaming motivations or player archetypes. These concepts do not directly map onto the building blocks of games, taking away from the utility of the findings. To address this issue, 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 exploratory empirical investigation 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. In addition, we demonstrate that there are significant effects of gender and age on participants' preferences and discuss the implications of these findings.},
address = {Amsterdam, Netherlands},
author = {Tondello, Gustavo F. and Wehbe, Rina R. and Orji, Rita and Ribeiro, Giovanni and Nacke, Lennart E.},
booktitle = {Proceedings of the 2017 Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '17},
doi = {10.1145/3116595.3116629},
isbn = {9781450348980},
keywords = {Game Elements,Games User Research,Player Types},
publisher = {ACM},
title = {{A Framework and Taxonomy of Videogame Playing Preferences}},
year = {2017}
}Player preferences for different gaming styles or game elements has been a topic of interest in human-computer interaction for over a decade. However, current models suggested by the extant literature are generally based on classifying abstract gaming motivations or player archetypes. These concepts do not directly map onto the building blocks of games, taking away from the utility of the findings. To address this issue, 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 exploratory empirical investigation 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. In addition, we demonstrate that there are significant effects of gender and age on participants’ preferences and discuss the implications of these findings.
Mike Schäkermann,
Giovanni Ribeiro, Guenter Wallner, Simone Kriglstein, Daniel Johnson, Anders Drachen, Rafet Sifa, and
Lennart E. Nacke. 2017. Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game “Destiny”. In
Proceedings of the 2017 Annual Symposium on Computer-Human Interaction in Play - CHI PLAY '17. Amsterdam, Netherlands. ACM.
doi:10.1145/3116595.3116603 @inproceedings{Schaekermann2017,
abstract = {Identifying player motivations such as curiosity could help game designers analyze player profiles and substantially improve game design. However, research on player profiling focuses on generalized personality traits, not specific aspects of motivation. This study examines how player behaviour indicates constructs of curiosity-related motivation. It contributes a more discriminating operationalization of game-related curiosity. We derive a curiosity measure from established self-report survey methodologies relating to social capital, behavioural activation, obsessive/harmonious passion, and BrainHex player types. We present the results of a cross-sectional study with data from 1,745 players of Destiny—a popular shared-world first-person shooter (FPS) game. Behaviour metrics were paired with four curiosity factors: ‘social' curiosity, ‘sensory/cognitive' curiosity, ‘novelty-seeking' curiosity, and ‘explorative' curiosity. Our findings provide key insights into the relationships between players curiosity and their in-game behaviour. We infer curiosity-related motivational profiles from behaviour metrics, and discuss how this may impact game design and player-computer interaction.},
author = {Schaekermann, Mike and Ribeiro, Giovanni and Wallner, Guenter and Kriglstein, Simone and Johnson, Daniel and Drachen, Anders and Sifa, Rafet and Nacke, Lennart E},
booktitle = {The ACM SIGCHI Annual Symposium on Computer-Human Interaction in Play (CHI PLAY 2017)},
doi = {10.1145/3116595.3116603},
isbn = {9781450348980},
mendeley-groups = {HCI Games Group Publications},
publisher = {ACM},
title = {{Curiously Motivated: Profiling Curiosity with Self-Reports and Behaviour Metrics in the Game "Destiny"}},
year = {2017}
}Identifying player motivations such as curiosity could help game designers analyze player profiles and substantially improve game design. However, research on player profiling focuses on generalized personality traits, not specific aspects of motivation. This study examines how player behaviour indicates constructs of curiosity-related motivation. It contributes a more discriminating operationalization of game-related curiosity. We derive a curiosity measure from established self-report survey methodologies relating to social capital, behavioural activation, obsessive/harmonious passion, and BrainHex player types. We present the results of a cross-sectional study with data from 1,745 players of Destiny—a popular shared-world first-person shooter (FPS) game. Behaviour metrics were paired with four curiosity factors: ‘social’ curiosity, ‘sensory/cognitive’ curiosity, ‘novelty-seeking’ curiosity, and ‘explorative’ curiosity. Our findings provide key insights into the relationships between players curiosity and their in-game behaviour. We infer curiosity-related motivational profiles from behaviour metrics, and discuss how this may impact game design and player-computer interaction.
.jpg?w=750&ssl=1)
