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Design of Mobile Application Using L...
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University of Toronto (Canada).
Design of Mobile Application Using Location Based Adaptive Automation.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Design of Mobile Application Using Location Based Adaptive Automation./
作者:
Addnan, Nasif.
面頁冊數:
1 online resource (82 pages)
附註:
Source: Masters Abstracts International, Volume: 56-05.
標題:
Industrial engineering. -
電子資源:
click for full text (PQDT)
ISBN:
9780355081145
Design of Mobile Application Using Location Based Adaptive Automation.
Addnan, Nasif.
Design of Mobile Application Using Location Based Adaptive Automation.
- 1 online resource (82 pages)
Source: Masters Abstracts International, Volume: 56-05.
Thesis (M.A.S.)--University of Toronto (Canada), 2017.
Includes bibliographical references
Process industry workplaces are increasingly more automated and require workers to collaborate with an automated agent. Implementing mobile devices in such workplaces is expected to improve task performance and restore multi-sensory cues by providing information to workers at the point of work. Focus group was conducted with 23 field workers to identify challenges that they currently face and proposed opportunities to address them. This resulted in identifying 19 challenges and 7 opportunities to address them using mobile devices. I designed one opportunity that used Adaptive Automation to deliver location-specific equipment operational data to workers at the point of work. Usability results from four participants validated the application and earned an excellent mean System Usability Scale score of 85. The design is expected to provide workers with real-time and projected operational data using a mobile device, providing smart services and allowing them to deliver more accurate equipment diagnosis during maintenance work.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780355081145Subjects--Topical Terms:
679492
Industrial engineering.
Index Terms--Genre/Form:
554714
Electronic books.
Design of Mobile Application Using Location Based Adaptive Automation.
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Process industry workplaces are increasingly more automated and require workers to collaborate with an automated agent. Implementing mobile devices in such workplaces is expected to improve task performance and restore multi-sensory cues by providing information to workers at the point of work. Focus group was conducted with 23 field workers to identify challenges that they currently face and proposed opportunities to address them. This resulted in identifying 19 challenges and 7 opportunities to address them using mobile devices. I designed one opportunity that used Adaptive Automation to deliver location-specific equipment operational data to workers at the point of work. Usability results from four participants validated the application and earned an excellent mean System Usability Scale score of 85. The design is expected to provide workers with real-time and projected operational data using a mobile device, providing smart services and allowing them to deliver more accurate equipment diagnosis during maintenance work.
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Ann Arbor, Mich. :
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click for full text (PQDT)
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