Ahmetoglu, Y;
Cox, AL;
Brumby, D;
(2020)
Time Estimation Bias in Knowledge Work: Tasks With Fewer Time Constraints Are More Error-Prone.
In: Bernhaupt, R and Mueller, F and Verweij, D and Andres, J, (eds.)
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems.
(pp. pp. 1-8).
Association for Computing Machinery (ACM): New York, NY, USA.
Preview |
Text
LBW_Planning_fallacy (12).pdf - Accepted Version Download (162kB) | Preview |
Abstract
Previous research has found that people often make time estimation errors in their daily planning at work. However, there is limited insight on the types of estimation errors found in different knowledge work tasks. This one-day diary study with 20 academics compared the tasks people aimed to achieve in the morning with what they actually did during the day. Results showed that participants were good at estimating the duration of time-constrained tasks, such as meetings, however they were biased when estimating the time they would spend on less time-constrained tasks. Particularly, the time needed for email and coding tasks was underestimated, whereas the time needed for writing research and planning activities was overestimated. The findings extend previous research by measuring in situ whether some tasks are more prone to time estimation errors than others. Planning and scheduling (AI) tools could incorporate this knowledge to help people overcome these time estimation biases in their work.
Archive Staff Only
 |
View Item |
