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Extending NGOMSL model for human-humanoid robot interaction in the soccer robotics domain

机译:扩展NGOMSL模型用于足球机器人领域中的人机仿人机器人交互

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In the field of human-computer interaction, theNatural Goals, Operators, Methods, and Selection rules Language (NGOMSL)model is one of the most popular methods for modelling knowledge and cognitive processes for rapid usability evaluation.The NGOMSL model is a description of the knowledge that a user must possess to operate the system represented as elementary actions for effective usability evaluations. In the last few years, mobile robots have been exhibiting a stronger presence in commercial markets and very little work has been done with NGOMSL modelling for usability evaluations in the human-robot interaction discipline. This paper focuses on extending the NGOMSL model for usability evaluation of human-humanoid robot interaction in the soccer robotics domain. The NGOMSL modelled human-humanoid interaction design of Robo-Erectus Junior was evaluated and the results of the experiments showed that the interaction design was able to find faults in an average time of 23.84 s. Also, the interaction design was able to detect the fault within the 60 s in 100% of the cases. The Evaluated Interaction design was adopted by our Robo-Erectus Junior version of humanoid robots in the RoboCup 2007 humanoid soccer league.
机译:在人机交互领域,自然目标,运算符,方法和选择规则语言(NGOMSL)模型是为快速可用性评估而对知识和认知过程进行建模的最受欢迎的方法之一.NGOMSL模型是对用户必须具备的知识才能操作系统,并表示为基本操作,以进行有效的可用性评估。在过去的几年中,移动机器人在商业市场上表现出越来越强的影响力,而在人机交互学科中,NGOMSL建模用于可用性评估的工作很少。本文着重于扩展NGOMSL模型,以评估足球机器人领域中人与类人机器人互动的可用性。评估了NGOMSL建模的Robo-Erectus Junior的人机交互设计,实验结果表明,该交互设计能够在平均23.84 s的时间内发现故障。而且,交互设计能够在100%的情况下在60 s内检测到故障。在RoboCup 2007人形足球联赛中,我们的Robo-Erectus Junior型人形机器人采用了Evaluated Interaction设计。

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