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

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 pr...

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Main Authors: Dominykas Strazdas, Jan Hintz, Anna-Maria Felbberg, Ayoub Al-Hamadi
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9264629/
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spelling doaj-ca2d8a0906bb4b478488d6d1176ce4662021-03-30T03:55:07ZengIEEEIEEE Access2169-35362020-01-01820763520764210.1109/ACCESS.2020.30377249264629Robots and Wizards: An Investigation Into Natural Human–Robot InteractionDominykas Strazdas0https://orcid.org/0000-0002-0463-6781Jan Hintz1https://orcid.org/0000-0003-2910-8202Anna-Maria Felbberg2https://orcid.org/0000-0001-6651-5128Ayoub Al-Hamadi3https://orcid.org/0000-0002-3632-2402Neuro-Information Technology, Otto-von-Guericke-University Magdeburg, Magdeburg, GermanyNeuro-Information Technology, Otto-von-Guericke-University Magdeburg, Magdeburg, GermanyDepartment of Experimental Psychology, Otto-von-Guericke Universität Magdeburg, Magdeburg, GermanyNeuro-Information Technology, Otto-von-Guericke-University Magdeburg, Magdeburg, GermanyThe 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.https://ieeexplore.ieee.org/document/9264629/Activity recognitioncooperative systemsgesture recognitionhuman-robot interactionintelligent robotsinteractive systems
collection DOAJ
language English
format Article
sources DOAJ
author Dominykas Strazdas
Jan Hintz
Anna-Maria Felbberg
Ayoub Al-Hamadi
spellingShingle Dominykas Strazdas
Jan Hintz
Anna-Maria Felbberg
Ayoub Al-Hamadi
Robots and Wizards: An Investigation Into Natural Human–Robot Interaction
IEEE Access
Activity recognition
cooperative systems
gesture recognition
human-robot interaction
intelligent robots
interactive systems
author_facet Dominykas Strazdas
Jan Hintz
Anna-Maria Felbberg
Ayoub Al-Hamadi
author_sort Dominykas Strazdas
title Robots and Wizards: An Investigation Into Natural Human–Robot Interaction
title_short Robots and Wizards: An Investigation Into Natural Human–Robot Interaction
title_full Robots and Wizards: An Investigation Into Natural Human–Robot Interaction
title_fullStr Robots and Wizards: An Investigation Into Natural Human–Robot Interaction
title_full_unstemmed Robots and Wizards: An Investigation Into Natural Human–Robot Interaction
title_sort robots and wizards: an investigation into natural human–robot interaction
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description 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.
topic Activity recognition
cooperative systems
gesture recognition
human-robot interaction
intelligent robots
interactive systems
url https://ieeexplore.ieee.org/document/9264629/
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AT annamariafelbberg robotsandwizardsaninvestigationintonaturalhumanx2013robotinteraction
AT ayoubalhamadi robotsandwizardsaninvestigationintonaturalhumanx2013robotinteraction
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