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Volume: 22 | Article ID: art00039_2
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A web-based self-diagnosis tool to solve print quality issues
Hector Santos-Villalobos
Hyung Jun Park
Chulwoo Kim
Pilsung Choe
Roy Kumontoy
Kainlu Low
Kristen Oldenburger
Maria Ortiz
Xinran Lehto
Mark Lehto
Jan Allebach
  DOI :  10.2352/ISSN.2169-4451.2006.22.1.art00039_2  Published Online :  January 2006
Abstract

Print quality is an important factor for customer satisfaction. Resolving print quality issues poses special challenges for a manufacturer's support organization. We have developed a troubleshooting web site to enable customers to self-diagnose many of their print quality issues. The diagnosis is based on images of the printed test pages that contain highly accurate simulations of potential print quality defects. We discuss the development process of the website, the results of usability experiments conducted to improve the tool, the general characteristics of the web site, and the web site navigation and diagnosis process.

Journal Title : NIP & Digital Fabrication Conference
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
Subject Areas :
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 DOI 10.2352/ISSN.2169-4451.2006.22.1.art00039_2
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Hector Santos-Villalobos, Hyung Jun Park, Chulwoo Kim, Pilsung Choe, Roy Kumontoy, Kainlu Low, Kristen Oldenburger, Maria Ortiz, Xinran Lehto, Mark Lehto, Jan Allebach, "A web-based self-diagnosis tool to solve print quality issues"  in Proc. IS&T Int'l Conf. on Digital Printing Technologies (NIP22),  2006,  pp 465 - 471,  https://doi.org/10.2352/ISSN.2169-4451.2006.22.1.art00039_2

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Copyright © Society for Imaging Science and Technology 2006
72010410
NIP & Digital Fabrication Conference
nip digi fabric conf
2169-4451
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2169-4451(20060101)2006:2L.465;1-
nip_v2006n2/splitsection39.xml
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Articles
A web-based self-diagnosis tool to solve print quality issues
Santos-VillalobosHector
ParkHyung Jun
KimChulwoo
ChoePilsung
KumontoyRoy
LowKainlu
OldenburgerKristen
OrtizMaria
LehtoXinran
LehtoMark
AllebachJan
01012006
2006
2
465
471
2006
Print quality is an important factor for customer satisfaction. Resolving print quality issues poses special challenges for a manufacturer's support organization. We have developed a troubleshooting web site to enable customers to self-diagnose many of their print quality issues. The diagnosis is based on images of the printed test pages that contain highly accurate simulations of potential print quality defects. We discuss the development process of the website, the results of usability experiments conducted to improve the tool, the general characteristics of the web site, and the web site navigation and diagnosis process.