東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Design of Industrial Workplaces to R...

Ender, Johanna.

FindBook

Google Book

Amazon

博客來

Design of Industrial Workplaces to Relieve Workers when Interacting with Joint-Arm-Robots.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Design of Industrial Workplaces to Relieve Workers when Interacting with Joint-Arm-Robots./
作者:	Ender, Johanna.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	233 p.
附註:	Source: Dissertations Abstracts International, Volume: 82-11, Section: A.
Contained By:	Dissertations Abstracts International82-11A.
標題:	Manufacturing. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28451501
ISBN:	9798728295884

Design of Industrial Workplaces to Relieve Workers when Interacting with Joint-Arm-Robots.
Ender, Johanna.

Design of Industrial Workplaces to Relieve Workers when Interacting with Joint-Arm-Robots. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 233 p.

Source: Dissertations Abstracts International, Volume: 82-11, Section: A.

Thesis (Ph.D.)--Liverpool John Moores University (United Kingdom), 2021.

This item must not be sold to any third party vendors.

A comprehensive understanding of the needs of the user is required to design adequate workplace systems in general, but especially in the highly digitised area of industry where operators are interacting with autonomously operating machines.There is little knowledge in design criteria for professionals to enable adequate developments of system design for Human-Machine Interaction, e.g. Human-Robot Collaboration regarding the effects of design decisions to all three levels of Human Factors, i.e. physiological, cognitive and organisational limitations. Moreover, there is little known about objective measurement procedures that evaluate whether the operator subjectively perceives the workplace system design as assistance and improvement.The research presented in the following is affiliated with the scientific discipline of Human Factors Engineering and focuses on the evaluation of Human Factor issues within the digitised industry.Based on broad theoretical and empirical investigations, the results of this research extend our knowledge of adequate Human-Centred Design by providing reliable, powerful design criteria for workplaces where operators interact with machines/collaborate with robots, but also an overall technique, the Objective Workload Detection Method, for evaluation of the effectiveness of design investigation focusing on cognitive stress relief.Through the application of this method within a controlled experiment, the validation of the derived design criteria was confirmed. The study significantly shows how the cognitive workload can be relieved by an assisting environment.This work also gives one best-practice design example of a self-adapting workplace system for hybrid Human-Robot Teams. Following the Human-Centred Design method, the concept of Assisting Industrial Workplace System for Human-Robot Collaboration has been successfully developed as a flexible hybrid unit design. The prototype is related to a real-world scenario from the aerospace industry and the demonstrator was implemented within a laboratory set-up.This work seamlessly applies techniques from interdisciplinary science fields, e.g. Engineering, Neuroscience, Gestalt theory, and Design. Equally, the design criteria and the evaluation method will support professionals from varied disciplines to succeed in the creation process of future system-designs by giving a clear indication of future Human-Centred Design research.

ISBN: 9798728295884Subjects--Topical Terms:

3389707
Manufacturing.
Subjects--Index Terms:

Human factors engineering

Design of Industrial Workplaces to Relieve Workers when Interacting with Joint-Arm-Robots.
LDR:03670nmm a2200385 4500 001 2281626
005 20210920103601.5
008 220723s2021 ||||||||||||||||| ||eng d
020 $a 9798728295884
035 $a (MiAaPQ)AAI28451501
035 $a (MiAaPQ)LiverpoolJohnMoores14557
035 $a AAI28451501
040 $a MiAaPQ $c MiAaPQ
100 1 $a Ender, Johanna. $3 3560308
245 1 0 $a Design of Industrial Workplaces to Relieve Workers when Interacting with Joint-Arm-Robots.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2021
300 $a 233 p.
500 $a Source: Dissertations Abstracts International, Volume: 82-11, Section: A.
500 $a Advisor: Guo, Fang Bin.
502 $a Thesis (Ph.D.)--Liverpool John Moores University (United Kingdom), 2021.
506 $a This item must not be sold to any third party vendors.
520 $a A comprehensive understanding of the needs of the user is required to design adequate workplace systems in general, but especially in the highly digitised area of industry where operators are interacting with autonomously operating machines.There is little knowledge in design criteria for professionals to enable adequate developments of system design for Human-Machine Interaction, e.g. Human-Robot Collaboration regarding the effects of design decisions to all three levels of Human Factors, i.e. physiological, cognitive and organisational limitations. Moreover, there is little known about objective measurement procedures that evaluate whether the operator subjectively perceives the workplace system design as assistance and improvement.The research presented in the following is affiliated with the scientific discipline of Human Factors Engineering and focuses on the evaluation of Human Factor issues within the digitised industry.Based on broad theoretical and empirical investigations, the results of this research extend our knowledge of adequate Human-Centred Design by providing reliable, powerful design criteria for workplaces where operators interact with machines/collaborate with robots, but also an overall technique, the Objective Workload Detection Method, for evaluation of the effectiveness of design investigation focusing on cognitive stress relief.Through the application of this method within a controlled experiment, the validation of the derived design criteria was confirmed. The study significantly shows how the cognitive workload can be relieved by an assisting environment.This work also gives one best-practice design example of a self-adapting workplace system for hybrid Human-Robot Teams. Following the Human-Centred Design method, the concept of Assisting Industrial Workplace System for Human-Robot Collaboration has been successfully developed as a flexible hybrid unit design. The prototype is related to a real-world scenario from the aerospace industry and the demonstrator was implemented within a laboratory set-up.This work seamlessly applies techniques from interdisciplinary science fields, e.g. Engineering, Neuroscience, Gestalt theory, and Design. Equally, the design criteria and the evaluation method will support professionals from varied disciplines to succeed in the creation process of future system-designs by giving a clear indication of future Human-Centred Design research.
590 $a School code: 8357.
650 4 $a Manufacturing. $3 3389707
650 4 $a Artificial intelligence. $3 516317
650 4 $a Systems design. $3 3433840
650 4 $a Robots. $3 529507
650 4 $a Industrial design. $3 957379
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Robotics. $3 519753
650 4 $a Computers. $3 544777
650 4 $a Ergonomics. $3 3560309
650 4 $a Sensors. $3 3549539
650 4 $a Laboratories. $3 531588
650 4 $a Research. $3 531893
650 4 $a Standards. $3 3560310
650 4 $a Collaboration. $3 3556296
650 4 $a Communication. $3 524709
650 4 $a Discipline. $3 581360
650 4 $a Industrial engineering. $3 526216
650 4 $a Perceptions. $3 3435328
650 4 $a Councils. $3 3557627
650 4 $a Cooperation. $3 594090
650 4 $a Knowledge. $3 872758
650 4 $a Systems science. $3 3168411
650 4 $a Scholarships & fellowships. $3 3560311
653 $a Human factors engineering
653 $a Human-robot interactions
690 $a 0771
690 $a 0790
690 $a 0546
690 $a 0800
690 $a 0459
690 $a 0538
710 2 $a Liverpool John Moores University (United Kingdom). $3 3556313
773 0 $t Dissertations Abstracts International $g 82-11A.
790 $a 8357
791 $a Ph.D.
792 $a 2021
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28451501