Self-adaptive systems (SAS) are a vital area of study with wide-ranging applications acrss various domains. These systems are designed to autonomously adjust their behavior in response to environmental changes or internal state shifts. However, fully autonomous systems face challenges in maintaining control and ensuring reliability, especially in high-stakes settings. Many studies have highlighted the importance of human involvement in SAS, pointing out that human oversight can significantly enhance system performance and reliability. Despite these findings, there is a lack of a literature review addressing this topic comprehensively. This thesis explores the critical role of human involvement in SAS and investigates how integrating human roles can enhance system performance and reliability by addressing why SAS require human involvement, identifying the most effective roles and processes for human participation, and outlining optimal integration methods. The findings indicate that human input is crucial for monitoring, decision-making, and executing system adaptations, particularly in complex and unpredictable scenarios. This integration improves system adaptability, usability, and overall efficiency. The results suggest that balancing automation with human oversight can significantly benefit autonomous systems, ensuring they align with human strategic goals and operational standards.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:lnu-130063 |
| Date | January 2024 |
| Creators | Simakina, Katarina, Wang, Zejian |
| Publisher | Linnéuniversitetet, Institutionen för datavetenskap och medieteknik (DM) |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| 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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