Adaptive attention-based human machine interface system for teleoperation of industrial vehicle

Abstract This study proposes a Human Machine Interface (HMI) system with adaptive visual stimuli to facilitate teleoperation of industrial vehicles such as forklifts. The proposed system estimates the context/work state during teleoperation and presents the optimal visual stimuli on the display of H...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Jouh Yeong Chew, Mitsuru Kawamoto, Takashi Okuma, Eiichi Yoshida, Norihiko Kato
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/844ccb995b9e477f995ac4f2b74d030f
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:844ccb995b9e477f995ac4f2b74d030f
record_format	dspace
spelling	oai:doaj.org-article:844ccb995b9e477f995ac4f2b74d030f2021-12-02T18:53:19ZAdaptive attention-based human machine interface system for teleoperation of industrial vehicle10.1038/s41598-021-96682-02045-2322https://doaj.org/article/844ccb995b9e477f995ac4f2b74d030f2021-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-96682-0https://doaj.org/toc/2045-2322Abstract This study proposes a Human Machine Interface (HMI) system with adaptive visual stimuli to facilitate teleoperation of industrial vehicles such as forklifts. The proposed system estimates the context/work state during teleoperation and presents the optimal visual stimuli on the display of HMI. Such adaptability is supported by behavioral models which are developed from behavioral data of conventional/manned forklift operation. The proposed system consists of two models, i.e., gaze attention and work state transition models which are defined by gaze fixations and operation pattern of operators, respectively. In short, the proposed system estimates and shows the optimal visual stimuli on the display of HMI based on temporal operation pattern. The usability of teleoperation system is evaluated by comparing the perceived workload elicited by different types of HMI. The results suggest the adaptive attention-based HMI system outperforms the non-adaptive HMI, where the perceived workload is consistently lower as responded by different categories of forklift operators.Jouh Yeong ChewMitsuru KawamotoTakashi OkumaEiichi YoshidaNorihiko KatoNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Jouh Yeong Chew Mitsuru Kawamoto Takashi Okuma Eiichi Yoshida Norihiko Kato Adaptive attention-based human machine interface system for teleoperation of industrial vehicle
description	Abstract This study proposes a Human Machine Interface (HMI) system with adaptive visual stimuli to facilitate teleoperation of industrial vehicles such as forklifts. The proposed system estimates the context/work state during teleoperation and presents the optimal visual stimuli on the display of HMI. Such adaptability is supported by behavioral models which are developed from behavioral data of conventional/manned forklift operation. The proposed system consists of two models, i.e., gaze attention and work state transition models which are defined by gaze fixations and operation pattern of operators, respectively. In short, the proposed system estimates and shows the optimal visual stimuli on the display of HMI based on temporal operation pattern. The usability of teleoperation system is evaluated by comparing the perceived workload elicited by different types of HMI. The results suggest the adaptive attention-based HMI system outperforms the non-adaptive HMI, where the perceived workload is consistently lower as responded by different categories of forklift operators.
format	article
author	Jouh Yeong Chew Mitsuru Kawamoto Takashi Okuma Eiichi Yoshida Norihiko Kato
author_facet	Jouh Yeong Chew Mitsuru Kawamoto Takashi Okuma Eiichi Yoshida Norihiko Kato
author_sort	Jouh Yeong Chew
title	Adaptive attention-based human machine interface system for teleoperation of industrial vehicle
title_short	Adaptive attention-based human machine interface system for teleoperation of industrial vehicle
title_full	Adaptive attention-based human machine interface system for teleoperation of industrial vehicle
title_fullStr	Adaptive attention-based human machine interface system for teleoperation of industrial vehicle
title_full_unstemmed	Adaptive attention-based human machine interface system for teleoperation of industrial vehicle
title_sort	adaptive attention-based human machine interface system for teleoperation of industrial vehicle
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/844ccb995b9e477f995ac4f2b74d030f
work_keys_str_mv	AT jouhyeongchew adaptiveattentionbasedhumanmachineinterfacesystemforteleoperationofindustrialvehicle AT mitsurukawamoto adaptiveattentionbasedhumanmachineinterfacesystemforteleoperationofindustrialvehicle AT takashiokuma adaptiveattentionbasedhumanmachineinterfacesystemforteleoperationofindustrialvehicle AT eiichiyoshida adaptiveattentionbasedhumanmachineinterfacesystemforteleoperationofindustrialvehicle AT norihikokato adaptiveattentionbasedhumanmachineinterfacesystemforteleoperationofindustrialvehicle
_version_	1718377337738756096

Adaptive attention-based human machine interface system for teleoperation of industrial vehicle

Ejemplares similares