A Lightweight Model for End Users' Data: Progress and Future Work

  • Authors:
  • Christopher Scaffidi

  • Affiliations:
  • Carnegie Mellon University, USA

  • Venue:
  • VLHCC '07 Proceedings of the IEEE Symposium on Visual Languages and Human-Centric Computing
  • Year:
  • 2007

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Abstract

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.