This study presents an in-depth evaluation of a website integrating OpenAI Whisper and ChatGPT-4 for automatic transcription and extraction of meeting dialogues, using design science as the research strategy. The introduction highlights the need for such a system and its potential application areas. The theoretical background elucidates key concepts and technologies in artificial intelligence. Insights into existing methods and their strengths and weaknesses are gained through a review of previous research and similar systems. The methodology section illuminates how the design science strategy was applied to define requirements, develop, and evaluate the system. The process is described in detail and includes steps such as problem identification, survey for data collection, artifact development, demonstration, and evaluation. The results of the user evaluation highlight both positive and negative aspects of the system. User feedback was used to identify areas for improvement and suggest paths for future development. In conclusion, despite some limitations, the system has the potential to be a useful resource in various application areas, and design science proves to be an effective method for the development and evaluation of such systems. This report has contributed to an increased understanding of the design process behind AI-based systems and their utility in practical applications, where strengths and weaknesses have been identified through the application of design science, leading to suggestions for future development.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-44571 |
| Date | January 2024 |
| Creators | Gunnarsson, Jonathan |
| Publisher | Högskolan i Gävle, Datavetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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