论文标题
利用情感作为沟通方式，以改善机器人辅助搜索和救援方案中的人类机器人沟通
Using Affect as a Communication Modality to Improve Human-Robot Communication in Robot-Assisted Search and Rescue Scenarios
论文作者
论文摘要
情感可以提供自然的沟通方式，以补充许多领域中社交机器人（例如文本和语音）现有的多模式能力。我们对112、223和151名参与者进行了三项在线研究，以调查使用情绪作为搜救（SAR）机器人的交流方式的好处。在第一个实验中，我们调查了通过机器人的情绪传达与SAR情况有关的信息的可行性，从而导致了从SAR情况到情感的映射。第二项研究将控制理论视为推导此类映射的替代方法。此方法更灵活，例如允许对此类映射进行调整，以针对不同的情绪集和不同的机器人进行调整。在第三个实验中，我们使用LED作为表达通道为外观受限的室外现场研究机器人创建了情感表达。在各种模拟的SAR情况下，使用这些情感表达方式，我们评估了这些表达式对参与者（采用救援人员的作用）的影响。我们的结果和拟议的方法提供了（a）有关情感如何帮助在SAR背景下传达信息的见解，以及（b）在（模拟）SAR交流环境中添加情绪为沟通方式的有效性的证据。
Emotions can provide a natural communication modality to complement the existing multi-modal capabilities of social robots, such as text and speech, in many domains. We conducted three online studies with 112, 223, and 151 participants to investigate the benefits of using emotions as a communication modality for Search And Rescue (SAR) robots. In the first experiment, we investigated the feasibility of conveying information related to SAR situations through robots' emotions, resulting in mappings from SAR situations to emotions. The second study used Affect Control Theory as an alternative method for deriving such mappings. This method is more flexible, e.g. allows for such mappings to be adjusted for different emotion sets and different robots. In the third experiment, we created affective expressions for an appearance-constrained outdoor field research robot using LEDs as an expressive channel. Using these affective expressions in a variety of simulated SAR situations, we evaluated the effect of these expressions on participants' (adopting the role of rescue workers) situational awareness. Our results and proposed methodologies provide (a) insights on how emotions could help conveying messages in the context of SAR, and (b) evidence on the effectiveness of adding emotions as a communication modality in a (simulated) SAR communication context.
