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Extracting "broken expectations" from call center records: why and how

Published:05 April 2008Publication History

ABSTRACT

Currently, despite the explicit industrial consideration to improve the appeal and usability of technically sound electronics products, users increasingly seem to have dissatisfactory experiences in interacting with them. These unforeseen experiences (attributable to specifications omissions, usability/learnability problems, or specific usage context) lead to a large and increasing share of unknown field complaints. To correct and prevent such complaints or user reports, we promote effective exploitation of call centers: Valuable usage data is retrievable from the field by adopting a user-centered failure classification model that we developed. We also report on the supporting results of a test from applying our model to a set of call center data.

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  1. Extracting "broken expectations" from call center records: why and how

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    • Published in

      cover image ACM Conferences
      CHI EA '08: CHI '08 Extended Abstracts on Human Factors in Computing Systems
      April 2008
      2035 pages
      ISBN:9781605580128
      DOI:10.1145/1358628

      Copyright © 2008 ACM

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      Publication History

      • Published: 5 April 2008

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