AI Chatbot Codex Generation for Immediate Game Strategy Help
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Novice computer game players often lack access to effective assistance for improving their gameplay, leading to frustration.
Innovation Solution
A system utilizing a generative pre-trained transformer (GPTT) trained on gamer comments from social media sites provides real-time, human-like advice on game strategies, mechanics, characters, and environments through natural language or video responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional help methods are used for novice players, then players have no one to turn to for help, but implementing a chatbot trained on wide corpus documents and experienced user comments provides quick and effective assistance
Solution Approach 1:
The system performs preliminary action by pre-training the chatbot on a wide corpus of documents and experienced user comments before deployment. This advance preparation enables the chatbot to provide immediate, effective assistance to novice players without requiring complex real-time processing or human intervention during gameplay.
2Loss of time
If ML models are trained on social media comments to provide game strategies, then players receive immediate guidance, but the system requires extensive training data and processing
Solution Approach 1:
The system performs preliminary action by pre-training the machine learning model on social media comments and game data before deployment. This advance preparation enables the model to provide immediate game strategy guidance to players during gameplay without requiring complex real-time processing or extensive training during actual use.
Data Source
AI summary
A chatbot receives a player query for help and based on being trained on a wide corpus of documents including gamer comments on social media sites, returns in natural human language either spoken or written, a gameplay strategy. Accordingly, a player can input a question to a model such as chatGPT to cause the model to determine an optimum mechanic (such as a weapon) for the player's current game situation and if desired return a video clip showing the mechanic and use thereof. In training, recognized objects can be input to the chatbot with ground truth description. The chatbot can access sites such as Discord, Reddit, etc. to learn what gamers are talking about.