🎐 Motivation Model

🧍‍♂️ Who/Do/Be/Feel table

Who

• The Researcher: The primary user of the system is a researcher who relies on the transcription files to analyze audio data for research purposes. They require accurate, timely, and organized transcriptions to draw meaningful insights from their work.

Do

File Upload

• Upload file(s): Researchers can upload one or more audio files for transcription through the system.
• Drag and Drop files for upload: The system supports a drag-and-drop feature, making the file upload process more convenient.
• Select a format for the output file: Users can choose the desired format for the transcription output, ensuring compatibility with their research needs.
• Input my email address to receive the transcription result: Researchers provide their email address to receive the completed transcription directly in their inbox.

Transcription Processing

• Handle multiple file transcriptions using a queue by the system: The system manages multiple transcription tasks in a queue, ensuring that each file is processed in an orderly manner.
• Watch transcribed results in a conversation form: Transcriptions are presented in a conversation form, making it easier for researchers to follow dialogue or spoken content.
• Use the up-to-date OpenAI Whisper model: The system utilizes the latest version of OpenAI’s Whisper model to ensure accurate and efficient transcription.
• Select different transcription language: Researchers can choose from multiple languages for transcription, accommodating diverse research needs.
• Speaker label Differenciation: The system identifies and labels different speakers within the transcription, aiding in clarity and analysis.

Transcription Result Forwarding

• Receive transcription results through email: Completed transcriptions are sent directly to the researcher’s email, allowing for easy access and organization.
• Receive system error reports through email: In case of any issues, system error reports are sent via email to keep researchers informed and allow for quick troubleshooting.
• Alternative file type support: The system supports multiple file types for transcription, providing flexibility in how researchers manage their audio data.

File Management

• File temporary storage: Files are stored temporarily in the system and can be set to expire after 30 days, after which they will be permanently deleted.
• Download history file: Researchers can download previously transcribed files, allowing them to access and review past work easily.
• Access History Record: The system maintains a history record of all transcriptions, providing researchers with a comprehensive overview of their past activities.

Be

• Smooth: The system is designed to operate smoothly, ensuring that tasks are completed without unnecessary delays or interruptions.
• Efficiency: Efficiency is a core aspect, with the system optimized to handle tasks quickly and accurately, minimizing the time researchers spend waiting for results.
• Scalable: The system is scalable, able to accommodate increasing workloads and additional features as the researcher’s needs grow.
• Reliable: Reliability is key, with the system ensuring consistent performance and dependable results, even under heavy use.
• Secure: Security is a priority, with measures in place to protect sensitive data, ensuring that researchers feel confident their information is safe from unauthorized access.
• Accurate: The system is designed to deliver precise transcriptions, providing researchers with high-quality outputs that reflect the original audio content accurately.
• Easy To Use: The system’s simplicity and intuitive design ensure that researchers can comfortably and confidently navigate and utilize the platform without extensive training.

Feel

• Time-efficiency: Researchers feel that their time is respected, with the system providing quick and effective solutions that allow them to focus on their core work.
• Guided: The system helps researchers feel supported and directed, offering clear guidance and intuitive tools that facilitate the transcription process and enhance their understanding of the audio data.
• Supported: Researchers feel reassured knowing that the system is equipped to handle complex transcription needs. Features like multiple file handling, language options, and speaker label differentiation ensure that the platform is capable of accommodating diverse research requirements. The integration of a reliable transcription model and timely system error notifications via email further enhances this feeling of support, as researchers can trust the system to manage and process their files efficiently without requiring constant oversight. This level of support allows them to concentrate on higher-level tasks, knowing that the system will deliver consistent results.