This book is published open access under a CC BY 4.0 license. Predicting the time needed to complete a project, task or daily activity can be difficult and people frequently underestimate how long an activity will take. This book sheds light on why and when this happens, what we should do to avoid it and how to give more realistic time predictions. It describes methods for predicting time usage in situations with high uncertainty, explains why two plus two is usually more than four in time prediction contexts, reports on research on time prediction biases, and summarizes the evidence in support of different time prediction methods and principles. Based on a comprehensive review of the research, it is the first book summarizing what we know ...
This scientific article explores the application of machine learning methods for estimating project ...
Every day we complete a number of tasks which require us to accurately time events, from estimating ...
This thesis discusses travel time prediction of vehicles on roads based on the methods of machine le...
This book is published open access under a CC BY 4.0 license. Predicting the time needed to complete...
Predicting the time needed to complete a project, task or daily activity can be difficult and people...
Whilst considerable research shows that people tend to underestimate their task completion times, th...
The study explores the relationship between people's self-report of the use of time management ...
This paper discusses the methods of travel time prediction based on the usage of machine learning an...
The study explores the relationship between people's self-report of the use of time management pract...
People are prone to underestimate how long tasks will take them. This is a common phenomenon that ha...
Previous research has found that people often make time estimation errors in their daily planning at...
Predictions of time (e.g., work hours) are often based on the aggregation of estimatesof elements (e...
People tend to underestimate the time it takes to accomplish tasks. This bias known as the planning ...
People tend to underestimate the time it takes to accomplish tasks. This bias known as the planning ...
People tend to underestimate the time it takes to accomplish tasks. This bias known as the planning ...
This scientific article explores the application of machine learning methods for estimating project ...
Every day we complete a number of tasks which require us to accurately time events, from estimating ...
This thesis discusses travel time prediction of vehicles on roads based on the methods of machine le...
This book is published open access under a CC BY 4.0 license. Predicting the time needed to complete...
Predicting the time needed to complete a project, task or daily activity can be difficult and people...
Whilst considerable research shows that people tend to underestimate their task completion times, th...
The study explores the relationship between people's self-report of the use of time management ...
This paper discusses the methods of travel time prediction based on the usage of machine learning an...
The study explores the relationship between people's self-report of the use of time management pract...
People are prone to underestimate how long tasks will take them. This is a common phenomenon that ha...
Previous research has found that people often make time estimation errors in their daily planning at...
Predictions of time (e.g., work hours) are often based on the aggregation of estimatesof elements (e...
People tend to underestimate the time it takes to accomplish tasks. This bias known as the planning ...
People tend to underestimate the time it takes to accomplish tasks. This bias known as the planning ...
People tend to underestimate the time it takes to accomplish tasks. This bias known as the planning ...
This scientific article explores the application of machine learning methods for estimating project ...
Every day we complete a number of tasks which require us to accurately time events, from estimating ...
This thesis discusses travel time prediction of vehicles on roads based on the methods of machine le...