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...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2020-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9264629/ |
id |
doaj-ca2d8a0906bb4b478488d6d1176ce466 |
---|---|
record_format |
Article |
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/ |
work_keys_str_mv |
AT dominykasstrazdas robotsandwizardsaninvestigationintonaturalhumanx2013robotinteraction AT janhintz robotsandwizardsaninvestigationintonaturalhumanx2013robotinteraction AT annamariafelbberg robotsandwizardsaninvestigationintonaturalhumanx2013robotinteraction AT ayoubalhamadi robotsandwizardsaninvestigationintonaturalhumanx2013robotinteraction |
_version_ |
1724182669453950976 |