Collaborative Work with Highly Automated Marine Navigation Systems

• DOI: 10.1007/s10606-022-09450-7
• Publication Date: 2022-10-08T08:04:26Z
• Authors: Erik Veitch; Henrikke Dybvik; Martin Steinert; Ole Andreas Alsos
• Keywords: Heuristics; Navigation System

Abstract In navigation applications, Artificial Intelligence (AI) can improve efficiency and decision making. It is not clear, however, how designers should account for human cooperation when integrating AI systems in work. a novel empirical study, we examine the transition maritime domain towards higher levels of machine autonomy. Our method involved interviewing technology (n = 9) navigators aboard two partially automated ferries 5), as well collecting field observations one ferries. The results indicated discrepancy between construed human-AI collaboration compared to navigators’ own accounts field. Navigators reflected upon their role ‘backup,’ defined by ad-hoc control takeovers from automation. Designers positioned ‘in loop’ larger system but discounted in-situ skills heuristic making all most controlled takeover actions. shed light on integration may be better aligned navigation. This included designing that render computational activities more visible incorporate social cues articulate work its natural setting. Positioned within alignment research, main contribution formulation interaction design insights future room