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IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2007)
Coeur d?Al?ne, Idaho
September 23-September 27
ISBN: 0-7695-2987-9
Christopher Scaffidi, Carnegie Mellon University, USA
To understand the software needs of information workers, we conducted a contextual inquiry, revealing that end users? tasks often involve categories of short, human-readable, multi-format data such as phone numbers, state names, and product identifiers [6]. In many tasks, workers copied and pasted data between web forms, often with intervening reformatting. At some points in tasks, users came upon data with questionable validity, prompting them to double-check values (which they sometimes used anyway). One task involved copying data from multiple sources into a spreadsheet, then manually reformatting the data into a common format and manually identifying and removing duplicates.
Citation:
Christopher Scaffidi, "A Lightweight Model for End Users? Data: Progress and Future Work," vlhcc, pp.268-269, IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC 2007), 2007
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