Robots and Wizards: An Investigation Into Natural Human-Robot Interaction

• Published in: IEEE access Vol. 8; pp. 207635 - 207642
• Main Authors: Strazdas, Dominykas, Hintz, Jan, Felbberg, Anna-Maria, Al-Hamadi, Ayoub
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Activity recognition; Cameras; cooperative systems; Correlation; Education; gesture recognition; Human engineering; human-robot interaction; Industrial robots; intelligent robots; interactive systems; Path planning; Prototyping; robot control; Robot kinematics; robot learning; Robot vision systems; Robots; Service robots; Task analysis; telerobotics
• ISSN: 2169-3536; 2169-3536
• DOI: 10.1109/ACCESS.2020.3037724

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.