Weidemann Alexandra, Rußwinkel Nele
Cognitive Modeling in Dynamic Human-Machine Systems, Faculty of Mechanical Engineering and Transport Systems, Department of Psychology and Ergonomics, Technical University of Berlin, Berlin, Germany.
Junior Research Group MTI-engAge, Control Systems Group, Department of Electrical Engineering and Computer Science, Faculty of Electrical Engineering and Computer Science, Technical University of Berlin, Berlin, Germany.
Front Psychol. 2021 Mar 22;12:640186. doi: 10.3389/fpsyg.2021.640186. eCollection 2021.
To realize a successful and collaborative interaction between human and robots remains a big challenge. Emotional reactions of the user provide crucial information for a successful interaction. These reactions carry key factors to prevent errors and fatal bidirectional misunderstanding. In cases where human-machine interaction does not proceed as expected, negative emotions, like frustration, can arise. Therefore, it is important to identify frustration in a human-machine interaction and to investigate its impact on other influencing factors such as dominance, sense of control and task performance. This paper presents a study that investigates a close cooperative work situation between human and robot, and explore the influence frustration has on the interaction. The task for the participants was to hand over colored balls to two different robot systems (an anthropomorphic robot and a robotic arm). The robot systems had to throw the balls into appropriate baskets. The coordination between human and robot was controlled by various gestures and words by means of trial and error. Participants were divided into two groups, a frustration- (FRUST) and a no frustration- (NOFRUST) group. Frustration was induced by the behavior of the robotic systems which made errors during the ball handover. Subjective and objective methods were used. The sample size of participants was = 30 and the study was conducted in a between-subject design. Results show clear differences in perceived frustration in the two condition groups and different behavioral interactions were shown by the participants. Furthermore, frustration has a negative influence on interaction factors such as dominance and sense of control. The study provides important information concerning the influence of frustration on human-robot interaction (HRI) for the requirements of a successful, natural, and social HRI. The results (qualitative and quantitative) are discussed in favor of how a successful und effortless interaction between human and robot can be realized and what relevant factors, like appearance of the robot and influence of frustration on sense of control, have to be regarded.
要实现人与机器人之间成功且协作的互动仍然是一项巨大的挑战。用户的情绪反应为成功互动提供了关键信息。这些反应包含预防错误和致命双向误解的关键因素。在人机交互未按预期进行的情况下,可能会产生诸如沮丧等负面情绪。因此,识别出人机交互中的沮丧情绪并研究其对其他影响因素(如主导性、控制感和任务表现)的影响非常重要。本文呈现了一项研究,该研究调查了人与机器人之间紧密的合作工作情境,并探讨了沮丧情绪对这种互动的影响。参与者的任务是将彩色球交给两个不同的机器人系统(一个拟人机器人和一个机械臂)。机器人系统必须将球扔进合适的篮子里。人与机器人之间的协调通过反复试验借助各种手势和语言来控制。参与者被分为两组,一组为沮丧组(FRUST),另一组为无沮丧组(NOFRUST)。沮丧情绪是由机器人系统在球交接过程中出错的行为引发的。研究使用了主观和客观的方法。参与者的样本量为 = 30,该研究采用了组间设计。结果表明,两个条件组在感知到的沮丧程度上存在明显差异,并且参与者表现出了不同的行为互动。此外,沮丧情绪对诸如主导性和控制感等互动因素有负面影响。该研究为成功、自然和社交的人机交互需求提供了有关沮丧情绪对人机交互(HRI)影响的重要信息。针对如何实现人与机器人之间成功且轻松的互动以及必须考虑哪些相关因素(如机器人的外观和沮丧情绪对控制感的影响),对结果(定性和定量)进行了讨论。