humans respond to incentives and goals in general. However, the reigning view expressed in MIS research has been that most humans do not detect errors in data.
The findings of the two laboratory experiments show that explicit error detection goals and incentives can modify error detection performance. These findings ...
Can humans detect errors in data? Impact of base rates, incentives, and goals. Authors: Barbara D. Klein.
Klein, Barbara; Goodhue, Dale; and Davis, Gordon. 1997. "Can Humans Detect Errors in Data? Impact of Base Rates, Incentives, and Goals," MIS Quarterly, (21: 2).
It is argued that expectations about the base rate of errors in data affect error detection performance when they are developed through direct experience and ...
Jun 1, 1997 · Can Humans Detect Errors in Data? Impact of Base Rates, Incentives, and Goals. Klein B.D., Goodhue D.L., Davis G.B..
The conclusion drawn from the laboratory experiments is that incentive structures and error detection goals affect error detection performance. No main effect ...
The objective of the field study was to examine the relationship between expectations about the base rate of errors and error detection. Base rate expectations ...
We found that larger incentives were associated with increased interview completion rates with minimal impact on data quality or bias.
Missing: Humans Detect
Dec 27, 2023 · Human error rates in manual data entry can range from 1% to 5%, depending on factors such as the complexity of the data and the experience of the data entry ...
Missing: Detect Base Incentives, Goals.