开发机器人辅助透析系统，减轻科研人员重复性实验负担。
Design of a Robot-Assisted Chemical Dialysis System
- 以用户为中心设计机器人辅助透析系统，适配科研需求
- 通过两次可用性测试优化系统，满足科学家实际使用场景
- 可推广至其他实验流程，助力科学发现加速
科研人员需完成多种繁琐且重复的手动操作，这类过程已成为现代实验科学的瓶颈，耗费大量时间并加重材料科学与医学等领域的负担。本文采用以用户为中心的设计方法，开发了一套用于聚合物与蛋白质合成中常见多日透析纯化流程的机器人辅助系统。通过两次可用性研究获取参与者反馈，并据此迭代优化设计需求，最终形成符合科学家实际需要的系统。该系统有望集成到化学湿法实验室的真实合成流程中，显著降低长期实验期间科研人员的工作负荷，并为设计更多可加速科学发现、解放研究人员于繁重劳动的自动化系统提供有效路径。
原文摘要 · Abstract (English)
Scientists perform diverse manual procedures that are tedious and laborious. Such procedures are considered a bottleneck for modern experimental science, as they consume time and increase burdens in fields including material science and medicine. We employ a user-centered approach to designing a robot-assisted system for dialysis, a common multi-day purification method used in polymer and protein synthesis. Through two usability studies, we obtain participant feedback and revise design requirements to develop the final system that satisfies scientists' needs and has the potential for applications in other experimental workflows. We anticipate that integration of this system into real synthesis procedures in a chemical wet lab will decrease workload on scientists during long experimental procedures and provide an effective approach to designing more systems that have the potential to accelerate scientific discovery and liberate scientists from tedious labor.
Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品；中文卡片由大模型生成，请以原文为准。