Tuesday, March 22, 2011

Paper Reading #15: Designing Adaptive Feedback for Improving Data Entry Accuracy

Comments: Derek Landini, Aaron Kirkes.
Reference Information:
Title: Designing Adaptive Feedback for Improving Data Entry Accuracy

Authors: Kuang Chen, Joseph M. Hellerstein, Tapan S. Parikh.
Venue: UIST’10, October 3–6, 2010, New York, New York, USA.

Summary: In their paper, the researcher's ouline the current limitations of data entry software, and described their ideas to develop an "adaptive" data entry system called USHER.  USHER examines the data being given by a user, and adapts the user interface accordingly. Such adaptions involve examining the data for likely illegal entries, and comparing entries such as birthdays and ages for mis-matched records.

The group tested their software with a group of data entry workers in Uganda. In the end, they found that while the number of errors did not greatly decrease, the speed of entry increased. This speed increase is mostly attributed USHER's auto complete features.

Discussion: I found this paper highly interesting, although a bit technical. I found it interesting that it helped intermediate users the most. I know that personally, auto-complete features generally are irritating for people who know how to do things own their own. For instance, for every time my finger accidentally slips off the shift key and Microsoft Office capitalizes the first letter of a line for me, there's about twenty instances where I actually wanted the first letter to legitimately be lower case.

1 comment:

  1. I think this is a great advancement in the field of HCI. Systems designed like this would be able to adopt to the needs of their user better.

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