Digital Sports Interviews Using Game-Context Report Generation

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Solution Overview

Problem

Minor sports events lack professional-quality player interviews and game reports due to the lack of resources and effort typically invested in professional sports, leaving spectators and coaches without valuable insights and feedback.

Innovation Solution

A system and method for digitally generating and sending interview questions, gathering responses, and creating reports using mobile devices, servers, and networks, integrating event input devices, client devices, and external devices to capture game events and statistics, and generate interviews and reports automatically.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Manufacturing precision

If professional interviews and reports are conducted for minor sports events, then the quality of player interviews and game reports is improved, but the cost and effort required increases significantly

Engineering Contradiction:
Improvequality of interviews and reportsVSAvoidcost and effort
Core Design Contradiction:
Manufacturing precisionVSDevice complexity

Solution Approach 1:

The system enables automated self-service functionality where the system automatically generates interview questions based on game events, collects responses from players, and produces reports without requiring manual intervention from reporters or coaches. This eliminates the need for expensive professional interviewers while maintaining quality output.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of manual interviewing and report writing with an automated digital system that uses algorithms to generate questions, process responses, and create reports. This substitution of manual mechanical processes with automated systems reduces both cost and effort while improving consistency and quality.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Productivity

If manual interviewing and report generation is used for minor sports, then flexibility and personalization are maintained, but productivity and efficiency are reduced

Engineering Contradiction:
Improveefficiency of interview and report generationVSAvoidtime for conducting interviews and creating reports
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by automatically generating interview questions based on game events before the actual interview takes place. This preparation is done automatically using algorithms that analyze game data, eliminating the need for manual question preparation and significantly reducing the time required for the interviewing process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system enables continuous operation where interviews and reports can be conducted simultaneously across multiple games and events. The automated nature of the system allows it to process multiple interviews in parallel without the downtime between manual transitions, significantly increasing overall productivity and reducing total time required.

Inventive Principle:
Principle #20Continuity of useful action

Data Source

PatentUS20260041983A1System and methods of conducting digital interviews and reports for sporting events
Publication Date: 2026.02.12 MAD PUCK INC
  • US20260041983A1 patent drawing
  • US20260041983A1 patent drawing
  • US20260041983A1 patent drawing

AI summary

System and methods for generating and sending interview questions, gathering interview responses and generating and sending reports for sporting events. When a sports game has finished, post game interviews are generated for players, staff and fans using the game context. Interviews are distributed to the interviewees on their mobile devices where the interview is completed using text, audio or video methods. Post game reports are generated using the game context and the interview questions and responses previously generated and gathered. Post game reports are published and distributed to fans to enjoy. Machine learning models and AI may be used to generate the interview questions and reports.