Abstract
The goal of the study was to research different communication modalities needed for intuitive Human-Robot Interaction. This study utilizes a Wizard of Oz prototyping method to enable a restriction-free, intuitive interaction with an industrial robot. The data from 36 test subjects suggests a high preference for speech input, automatic path planning and pointing gestures. The catalogue developed during this experiment contains intrinsic gestures suggesting that the two most popular gestures per action can be sufficient to cover the majority of users. The system scored an average of 74% in different user interface experience questionnaires, while containing forced flaws. These findings allow a future development of an intuitive Human-Robot interaction system with high user acceptance.
Highlights
The factory of the future, the so-called smart factory, relies on intelligent, independently operating and globally networked systems [1]
One way to overcome this issue is to use the well-established method of Wizard of Oz (WoZ), to evaluate and adapt existing, unfinished systems
All subjects completed the tasks with a time between 13 and 37 minutes, averaging around 19.58 minutes
Summary
The factory of the future, the so-called smart factory, relies on intelligent, independently operating and globally networked systems [1]. As part of the fourth industrial revolution (Industry 4.0), a new possibility for production was introduced: Human-Robot Interaction (HRI). Robots are not operated behind a protective barrier as usual, but work in the same space as humans. Three levels of cooperation between humans and robots have been established: coexistence, cooperation and collaboration [2]. To enable collaboration and integrate humans into these smart surroundings, intelligent systems and sensors are required, since humans lack a direct digital interface. What is the use of a great expensive system that is not safe or not applicable? One way to overcome this issue is to use the well-established method of Wizard of Oz (WoZ), to evaluate and adapt existing, unfinished systems
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