AI 中文总结
针对火星探测器行驶数据分散难整合问题，设计indsight视觉分析系统，将相关数据统一到单个工作区，把操作员对行驶的直觉转化为视觉查询流程，实现结构化、可共享分析，获操作员初步认可。
AI 中文摘要
在火星探测器操作员规划穿越危险火星地形的行驶路线并诊断意外故障时，必要信息分散在不同系统中，常需人工关联和记忆来重建。为应对这一挑战，我们与美国国家航空航天局喷气推进实验室的火星探测器操作员合作推出了indsight，这是一个视觉分析系统，将以前分散的探测器行驶数据统一到一个工作区进行搜索、比较和调查。本文展示了indsight应用的设计研究。合作发现操作员将行驶视为整体时空事件而非离散参数。通过将操作员直觉转化为明确的视觉查询过程，indsight将分析转变为结构化、可共享的工作流程。操作员的初步反馈表明indsight支持他们在单个工作区关联地形、遥测和故障事件的能力。
英文摘要
While Mars rover operators plan drives across hazardous Martian terrain and diagnose unexpected faults, the necessary information is distributed across separate systems and often reconstructed through manual correlation and memory. To address this challenge, we partnered with Mars rover operators at the NASA Jet Propulsion Laboratory to introduce Hindsight, a visual analytics system that unifies previously disparate rover drive data into a single workspace for search, comparison, and investigation. This paper presents a design study of the Hindsight application. The partnership revealed that operators reason about drives as holistic spatiotemporal episodes rather than discrete parameters. By externalizing operator intuition into an explicit visual query process, we argue that Hindsight transforms analysis into a structured, shareable workflow. Preliminary feedback from operators suggests Hindsight supports their ability to correlate terrain, telemetry, and fault events within a singleworkspace.
CommentsIn press for the 2026 IEEE Conference on Visualization (VIS 2026)
