More time, more work: How time limits bias estimates of task scope and project duration

We propose that externally induced time limits on a task overly affect predictions of other people’s completion times for that task, due to an over-generalized association between the time available and inferred task scope. We find higher estimates of the time needed to complete a given task by ano...

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Main Authors: Indranil Goswami, Oleg Urminsky
Format: Article
Language:English
Published: Society for Judgment and Decision Making 2020-11-01
Series:Judgment and Decision Making
Subjects:
Online Access:http://journal.sjdm.org/19/190918a/jdm190918a.pdf
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spelling doaj-e8bd054766314ba08772f24e8f5854172021-05-02T23:31:34ZengSociety for Judgment and Decision MakingJudgment and Decision Making1930-29752020-11-011569941008More time, more work: How time limits bias estimates of task scope and project durationIndranil GoswamiOleg UrminskyWe propose that externally induced time limits on a task overly affect predictions of other people’s completion times for that task, due to an over-generalized association between the time available and inferred task scope. We find higher estimates of the time needed to complete a given task by another person when the time limit is longer. While such predictions could be normative when time limits are informative, the effect persists even when the decision-maker knows that the limit is arbitrary and is unknown to the other person, and therefore, cannot affect behavior. Perception of task scope mediates the relationship between time limits and completion time estimates, and weakening the association between time limits and task scope attenuates the effect. The over-learned cognitive bias persists even among experienced decision-makers making estimates in a familiar setting. Our findings have implications for people who make decisions that use judgments of others’ task completion time as an input.http://journal.sjdm.org/19/190918a/jdm190918a.pdftime limits; deadlines; time judgments; estimation bias; over-learned responsesnakeywords
collection DOAJ
language English
format Article
sources DOAJ
author Indranil Goswami
Oleg Urminsky
spellingShingle Indranil Goswami
Oleg Urminsky
More time, more work: How time limits bias estimates of task scope and project duration
Judgment and Decision Making
time limits; deadlines; time judgments; estimation bias; over-learned responsesnakeywords
author_facet Indranil Goswami
Oleg Urminsky
author_sort Indranil Goswami
title More time, more work: How time limits bias estimates of task scope and project duration
title_short More time, more work: How time limits bias estimates of task scope and project duration
title_full More time, more work: How time limits bias estimates of task scope and project duration
title_fullStr More time, more work: How time limits bias estimates of task scope and project duration
title_full_unstemmed More time, more work: How time limits bias estimates of task scope and project duration
title_sort more time, more work: how time limits bias estimates of task scope and project duration
publisher Society for Judgment and Decision Making
series Judgment and Decision Making
issn 1930-2975
publishDate 2020-11-01
description We propose that externally induced time limits on a task overly affect predictions of other people’s completion times for that task, due to an over-generalized association between the time available and inferred task scope. We find higher estimates of the time needed to complete a given task by another person when the time limit is longer. While such predictions could be normative when time limits are informative, the effect persists even when the decision-maker knows that the limit is arbitrary and is unknown to the other person, and therefore, cannot affect behavior. Perception of task scope mediates the relationship between time limits and completion time estimates, and weakening the association between time limits and task scope attenuates the effect. The over-learned cognitive bias persists even among experienced decision-makers making estimates in a familiar setting. Our findings have implications for people who make decisions that use judgments of others’ task completion time as an input.
topic time limits; deadlines; time judgments; estimation bias; over-learned responsesnakeywords
url http://journal.sjdm.org/19/190918a/jdm190918a.pdf
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