语音合成助理对急救人员培训绩效的影响
Effects of Voice-Based Synthetic Assistant on Performance of Emergency Care Provider in Training
摘要：
作为一个常年项目的一部分，我们的团队正在积极参与开发新的合成助理（SA）技术，以协助培训战斗医务人员和医疗急救人员。至关重要的是，医疗第一反应人员必须训练有素，以更有效地处理紧急情况。这就需要对每个受训人员进行实时监测和反馈。因此，我们引入了基于语音的SA来增强医疗急救人员的培训过程，并提高他们在现场的表现。服务协定的潜在好处包括减少培训费用和加强监测机制。尽管在日常生活中越来越多地使用基于语音的个人助理（PA），但在对人为因素的研究中，相关影响通常被忽视。因此，本文的重点是性能分析开发的语音为基础的SA在紧急护理提供者培训选定的紧急治疗方案。在本文中讨论的研究遵循设计科学在开发建议的技术，在长度，我们讨论了架构和开发，并提出了基于语音的SA的工作结果。使用统计分析工具对两组用户进行了实证测试，一组使用传统方法进行培训，另一组使用SA。统计结果表明，由SA供电的医疗响应者的训练效果和性能的放大。此外，本文还讨论了任务执行的准确性和时间（t），并得出结论，为解决所发现的问题的指导方针。
英文摘要：
As part of a perennial project, our team is actively engaged in developing new synthetic assistant (SA) technologies to assist in training combat medics and medical first responders. It is critical that medical first responders are well trained to deal with emergencies more effectively. This would require real-time monitoring and feedback for each trainee. Therefore, we introduced a voice-based SA to augment the training process of medical first responders and enhance their performance in the field. The potential benefits of SAs include a reduction in training costs and enhanced monitoring mechanisms. Despite the increased usage of voice-based personal assistants (PAs) in day-to-day life, the associated effects are commonly neglected for a study of human factors. Therefore, this paper focuses on performance analysis of the developed voice-based SA in emergency care provider training for a selected emergency treatment scenario. The research discussed in this paper follows design science in developing proposed technology; at length, we discussed architecture and development and presented working results of voice-based SA. The empirical testing was conducted on two groups as user studies using statistical analysis tools, one trained with conventional methods and the other with the help of SA. The statistical results demonstrated the amplification in training efficacy and performance of medical responders powered by SA. Furthermore, the paper also discusses the accuracy and time of task execution (t) and concludes with the guidelines for resolving the identified problems.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
