Language Model Virtual Assistants for In-Game Task Guidance
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Solution Overview
Problem
Players with little experience in gaming applications face a steep learning curve, leading to loss of interest or the need for external help, which can be difficult to identify and time-consuming to access.
Innovation Solution
A virtual assistant integrated with content streaming systems that processes user queries using state and contextual information, generated by analyzing application data, to provide relevant information within the application session.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If players use external resources (manuals, documents, videos) to get help with gaming tasks, then they can obtain information about how to perform tasks, but it takes time away from gameplay and impacts player experience negatively
Solution Approach 1:
The patent introduces a virtual assistant as an intermediary component that mediates between the player and the game system. This virtual assistant processes player queries about game tasks and returns contextualized information without requiring players to leave the game session or consult external resources, thereby eliminating time loss while maintaining information access.
Solution Approach 2:
The system performs preliminary actions by pre-processing game state data and task information into structured formats that the virtual assistant can quickly retrieve and respond to. This preparation of information in advance enables rapid responses during gameplay without interrupting the player's flow or requiring time-consuming external research.
2Adaptability or versatility
If players with no or little experience face a steep learning curve in gaming applications, then the gaming application can maintain complexity and richness, but players may lose interest or need external help
Solution Approach 1:
The virtual assistant provides dynamic, context-aware guidance that adapts to the player's current game state, query intent, and experience level. The system dynamically retrieves and presents information relevant to the specific situation, allowing the game to maintain its complex design while providing customized support that makes it accessible to players of varying experience levels.
Solution Approach 2:
The system enables self-service by empowering players to ask natural language questions about game tasks and receive immediate, contextualized answers. Players can independently resolve their own uncertainties without requiring external manuals or community help, making the complex game system self-explanatory and more accessible.
3Loss of information
If players search for and review external resources for help, then they can find relevant information, but it is difficult to identify relevant resources and takes time
Solution Approach 1:
The virtual assistant implements feedback mechanisms by analyzing player queries against the current game state and retrieving only the most relevant task information. This targeted feedback loop ensures players receive precisely the information they need for their current situation, eliminating the time-consuming process of searching through general external resources and reviewing irrelevant content.
Data Source
AI summary
In various examples, providing virtual assistants for content streaming systems and applications is described herein. For instance, systems and methods are disclosed that use a virtual assistant associated with an application, such as a gaming application, to at least process queries received from a user in order to provide the user with information on how to perform various tasks associated with the application. In some examples, to determine the output information, data associated with the application is processed in order to determine state information describing a current state of the application. Additionally, the query, the state information, and/or additional information may be used to determine contextual information related to the query. One or more language models may then process the query and/or the information to determine the output information associated with the query. The output information may then be provided using various techniques, such as text, graphics, and/or audio.