对比机器人用语言还是视觉提示，发现语音沟通更省力且减少负担。
Human-Robot Teaming Field Deployments: A Comparison Between Verbal and Non-verbal Communication
- 用语音或视觉提示引导机器人找医疗物品，对比实际使用效果。
- 语音沟通使心理负荷降低43%，比视觉提示和传统推车更高效。
- 适合医疗团队在抢救场景中优化人机协作，提升工作舒适度。
医护人员在医院面临快速获取急救车物资的挑战，可能引发医疗失误和延误患者救治。机器人急救车（RCC）通过引导物品搜索和任务提醒，在医疗任务中展现出辅助潜力。但目前对真实环境中哪种通信方式最有效、干扰最小仍缺乏研究。为此，我们开展了一项被试间实验，比较在复苏场景下RCC使用语音与非语音通信方式与传统急救车的差异，评估其对工作负荷及对机器人使用态度的影响。结果表明，相比视觉提示和传统推车，语音通信显著降低了心理负荷与努力程度。尽管与机器人协作时挫败感略高，但研究为高压力环境下人机协作提供了重要参考。
原文摘要 · Abstract (English)
Healthcare workers (HCWs) encounter challenges in hospitals, such as retrieving medical supplies quickly from crash carts, which could potentially result in medical errors and delays in patient care. Robotic crash carts (RCCs) have shown promise in assisting healthcare teams during medical tasks through guided object searches and task reminders. Limited exploration has been done to determine what communication modalities are most effective and least disruptive to patient care in real-world settings. To address this gap, we conducted a between-subjects experiment comparing the RCC's verbal and non-verbal communication of object search with a standard crash cart in resuscitation scenarios to understand the impact of robot communication on workload and attitudes toward using robots in the workplace. Our findings indicate that verbal communication significantly reduced mental demand and effort compared to visual cues and with a traditional crash cart. Although frustration levels were slightly higher during collaborations with the robot compared to a traditional cart, these research insights provide valuable implications for human-robot teamwork in high-stakes environments.
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