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

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

4 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationNIP22
Subtitle of host publication22nd International Conference on Digital Printing Technologies - Final Program and Proceedings
Pages465-471
Number of pages7
Publication statusPublished - 2006
Externally publishedYes
EventInternational Conference on Digital Printing Technologies - Denver, CO, United States
Duration: 17 Sept 200622 Sept 2006

Publication series

NameInternational Conference on Digital Printing Technologies
Volume2006

Conference

ConferenceInternational Conference on Digital Printing Technologies
Country/TerritoryUnited States
CityDenver, CO
Period17/09/0622/09/06

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