Microsoft technology licensing, llc (20240123355). TRACKING IN-GAME EVENTS AND GENERATING EVENT REPORTS ACROSS MULTIPLE GAMING APPLICATIONS simplified abstract
Contents
- 1 TRACKING IN-GAME EVENTS AND GENERATING EVENT REPORTS ACROSS MULTIPLE GAMING APPLICATIONS
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 TRACKING IN-GAME EVENTS AND GENERATING EVENT REPORTS ACROSS MULTIPLE GAMING APPLICATIONS - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
TRACKING IN-GAME EVENTS AND GENERATING EVENT REPORTS ACROSS MULTIPLE GAMING APPLICATIONS
Organization Name
microsoft technology licensing, llc
Inventor(s)
Daniel Gilbert Kennett of Bellevue WA (US)
Mark Edward Rabold of Renton WA (US)
TRACKING IN-GAME EVENTS AND GENERATING EVENT REPORTS ACROSS MULTIPLE GAMING APPLICATIONS - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240123355 titled 'TRACKING IN-GAME EVENTS AND GENERATING EVENT REPORTS ACROSS MULTIPLE GAMING APPLICATIONS
Simplified Explanation
The present disclosure relates to systems, methods, and computer-readable media for identifying a variety of events that occur within a gaming session and generating event reports based on the identified events.
- Cloud gaming server leverages content analysis and event recognizer services on a cloud computing system to detect in-game events based on gaming content.
- Systems can train and implement event recognizers to track various in-game events across multiple gaming applications.
- Event reports can be generated for events, individual users, and groups of users of the cloud computing system.
Potential Applications
The technology described in this patent application could be applied in various areas such as:
- Game development to analyze player behavior and improve game design.
- Esports to provide detailed analytics for players and teams.
- User experience research to understand player engagement and preferences.
Problems Solved
This technology helps in:
- Providing detailed insights into player behavior during gaming sessions.
- Automating the process of event tracking and reporting in gaming environments.
Benefits
The benefits of this technology include:
- Enhanced understanding of player interactions within games.
- Improved decision-making for game developers and esports organizations.
- Streamlined data collection and analysis processes.
Potential Commercial Applications
The technology could be commercially applied in:
- Gaming analytics platforms for developers and publishers.
- Esports analytics services for professional teams and organizations.
- User behavior analysis tools for gaming companies and market researchers.
Possible Prior Art
One possible prior art in this field is the use of data analytics tools in gaming to track player behavior and preferences. Another could be the implementation of event recognition systems in virtual reality gaming environments.
Unanswered Questions
How does this technology impact user privacy in gaming environments?
This article does not address the potential privacy concerns that may arise from tracking and analyzing user behavior in gaming sessions.
What are the limitations of event recognition systems in detecting complex in-game events?
The article does not delve into the challenges or limitations faced by event recognition systems when it comes to identifying intricate in-game events accurately.
Original Abstract Submitted
the present disclosure relates to systems, methods, and computer-readable media for identifying a variety of events that occur within a gaming session and generating event reports based on the identified events. for example, a gaming service (e.g., a cloud gaming server) can leverage content analysis and event recognizer services on a cloud computing system to detect one or more in-game events based on gaming content (e.g., video content, audio content, controller inputs) that is delivered to a client system. systems described herein can train and implement event recognizers trained to track various in-game events across multiple gaming applications. based on the tracked events, the systems described herein can generate event reports for events, individual users, and groups of users of the cloud computing system.