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Design of Mobile Application Using L...

University of Toronto (Canada).

Design of Mobile Application Using Location Based Adaptive Automation.

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Design of Mobile Application Using Location Based Adaptive Automation./
Author:	Addnan, Nasif.
Description:	1 online resource (82 pages)
Notes:	Source: Masters Abstracts International, Volume: 56-05.
Subject:	Industrial engineering. -
Online resource:	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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035 $a (MiAaPQ)AAI10255249
035 $a (MiAaPQ)toronto:15315
035 $a AAI10255249
040 $a MiAaPQ $b eng $c MiAaPQ
100 1 $a Addnan, Nasif. $3 1184908
245 1 0 $a Design of Mobile Application Using Location Based Adaptive Automation.
264 0 $c 2017
300 $a 1 online resource (82 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Masters Abstracts International, Volume: 56-05.
500 $a Adviser: Greg Jamieson.
502 $a Thesis (M.A.S.)--University of Toronto (Canada), 2017.
504 $a Includes bibliographical references
520 $a 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.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Industrial engineering. $3 679492
650 4 $a Information technology. $3 559429
655 7 $a Electronic books. $2 local $3 554714
690 $a 0546
690 $a 0489
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a University of Toronto (Canada). $b Mechanical and Industrial Engineering. $3 845502
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10255249 $z click for full text (PQDT)

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