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Mitigating Safety Risks in Information Systems: A Self-Adaptive Approach Research Data
- Citation Author(s):
- Submitted by:
- Shuja Mughal
- Last updated:
- Mon, 03/17/2025 - 18:19
- DOI:
- 10.21227/x53q-2a82
- License:
17 Views- Categories:
- Keywords:
Abstract
Research data for Mitigating Safety Risks in Information Systems: A Self-Adaptive Approach Research Data. A controlled experiment was conducted to determine whether SAS, aware of interruptions, improves effectiveness, efficiency, situational awareness, and usability compared to non-adaptive systems in information systems. A total of 30 participants contributed to the controlled experiment. The subjects were people with experience using IS and knowledge of decision-making. This is the empirical data of that research where we found out that an adaptive system that is *aware* of interruptions performs better (safer, more efficient, more effective, better SA, and more usable) than non-adaptive systems in information systems.
Research data for Mitigating Safety Risks in Information Systems: A Self-Adaptive Approach Research Data. A controlled experiment was conducted to determine whether SAS, aware of interruptions, improves effectiveness, efficiency, situational awareness, and usability compared to non-adaptive systems in information systems. A total of 30 participants contributed to the controlled experiment. The subjects were people with experience using IS and knowledge of decision-making. This is the empirical data of that research where we found out that an adaptive system that is *aware* of interruptions performs better (safer, more efficient, more effective, better SA, and more usable) than non-adaptive systems in information systems.
