Publicação
Game interaction primitives
| dc.contributor.advisor | Rodrigues,André Filipe Pereira | |
| dc.contributor.advisor | Gouveia,Rúben Hugo de Freitas | |
| dc.contributor.author | Marques,Inês da Silva Martins Valadares | |
| dc.contributor.institution | Faculty of Sciences | |
| dc.contributor.institution | Department of Informatics | |
| dc.date.accessioned | 2026-01-16T14:45:05Z | |
| dc.date.available | 2026-01-16T14:45:05Z | |
| dc.date.issued | 2025 | |
| dc.description | Tese de Mestrado, Engenharia Informática, 2025, Universidade de Lisboa, Faculdade de Ciências | |
| dc.description.abstract | The gaming industry has witnessed exponential growth, becoming one of the most influential forms of entertainment worldwide. With millions of active players, an enormous amount of inter- action data is generated, offering a unique opportunity to analyze behavioral patterns. This thesis proposes and explores the concept of Game Interaction Primitives, core behavioral patterns that remain consistent across different gaming environments. The central hypothesis is that such primitives, such as tactical movements or reaction times, play a crucial role in maintaining player equivalence across diverse games. The research began with an analysis of multiple digital games to identify recurring interaction patterns. From this analysis, a recurring primitive, named Predictive Tap, was selected, frequently observed in mobile games. This primitive represents a form of anticipatory interaction, where players tap in time with predictable gameplay events. A proof-of-concept game was developed to embed and capture this primitive during gameplay, allowing its assessment in a controlled environment. A user study will be conducted to validate this approach and assess its effectiveness in detecting and analyzing the primitive. The results of this work showed that the Predictive Tap primitive captures some consistent anticipatory patterns in player behavior across mobile games, although substantial variability remains and cross-game generalization continues to be a challenge. The project also provides a practical guide for implementing logging of interaction metrics, offering a foundation to support further analysis of Game Interaction Primitives in future studies. This work aims to contribute to a deeper understanding of player behavior, with potential applications in game design, user experience personalization, and long-term monitoring of cognitive and motor capabilities. | en |
| dc.format | application/pdf | |
| dc.identifier.tid | 204174988 | |
| dc.identifier.uri | http://hdl.handle.net/10400.5/116661 | |
| dc.language.iso | eng | |
| dc.subject | game design | |
| dc.subject | core tasks | |
| dc.subject | player behavior | |
| dc.subject | interaction primitives | |
| dc.subject | data collection | |
| dc.title | Game interaction primitives | en |
| dc.type | master thesis | |
| dspace.entity.type | Publication | |
| rcaap.rights | openAccess |
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