透明度(行为)
机器人
人机交互
城市搜救
背景(考古学)
计算机科学
人机交互
危险废物
避碰
移动机器人
计算机安全
人工智能
工程类
碰撞
古生物学
废物管理
生物
作者
Akuadasuo Ezenyilimba,Margaret Wong,Alexander J. Hehr,Mustafa Demir,Alexandra T. Wolff,Erin K. Chiou,Nancy J. Cooke
标识
DOI:10.1177/15553434221136358
摘要
Urban Search and Rescue (USAR) missions continue to benefit from the incorporation of human–robot teams (HRTs). USAR environments can be ambiguous, hazardous, and unstable. The integration of robot teammates into USAR missions has enabled human teammates to access areas of uncertainty, including hazardous locations. For HRTs to be effective, it is pertinent to understand the factors that influence team effectiveness, such as having shared goals, mutual understanding, and efficient communication. The purpose of our research is to determine how to (1) better establish human trust, (2) identify useful levels of robot transparency and robot explanations, (3) ensure situation awareness, and (4) encourage a bipartisan role amongst teammates. By implementing robot transparency and robot explanations, we found that the driving factors for effective HRTs rely on robot explanations that are context-driven and are readily available to the human teammate.
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