Related Experiment Video
Updated: Jul 30, 2025

14:14
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
Published on: May 13, 2022
5.9K
Breaks and productivity: An exploratory analysis
Jessica A Nastasi1, Isabella B Tassistro1, Nicole E Gravina1
1Department of Psychology, University of Florida, Gainesville, FL, USA.
Journal of Applied Behavior Analysis
|May 11, 2023
Summary
Short, programmed work breaks significantly boosted employee productivity in a simulated task. This research supports the value of incorporating regular breaks to enhance performance and efficiency.
Area of Science:
- Occupational Health
- Cognitive Psychology
- Human Factors Engineering
Background:
- The Fair Labor Standards Act suggests short rest periods may improve productivity.
- Limited experimental research exists on the impact of programmed work breaks on employee performance.
Purpose of the Study:
- To experimentally compare employee productivity with and without programmed work breaks.
- To investigate the effect of short, frequent breaks on task completion rates.
Main Methods:
- Sixteen undergraduate students participated in two 2-hour sessions of a simulated check-processing task.
- One session included programmed 5-minute breaks every 20 minutes; the other served as a control with no required breaks.
- Participants were randomly assigned to the order of the sessions to control for order effects.
Main Results:
- 75% of participants completed significantly more checks during the session with programmed breaks.
- Participants took more unprogrammed break time during the control session compared to the experimental session.
- The difference in productivity between the two conditions was statistically significant.
Conclusions:
- Programmed short work breaks can lead to a significant increase in employee productivity.
- The findings highlight the practical value of structured breaks in optimizing work performance.
- Further research is warranted to explore the optimal frequency and duration of breaks for different tasks.
Related Concept Videos
Interpreting Run Charts
238
Run charts, essentially line graphs plotted over time, serve as fundamental yet effective tools for process analysis. They chronicle data sequentially, facilitating the identification of trends, shifts, or cyclical movements. This graphical representation is instrumental in determining whether a process is stable or exhibits signs of potential instability indicative of special cause variation. In the healthcare domain, run charts depict infection rates over time, enabling hospitals to monitor...
238
Quantifying Work
20.6K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
20.6K
Run Charts
90
Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
90
Production Efficiency
16.9K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
16.9K
Factorial Design
13.1K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
13.1K
Variability: Analysis
163
Measures of variability are statistical metrics that reveal the dispersion pattern within a dataset. They are pivotal in biostatistics, providing insights into the heterogeneity within health and biological data. Variability signifies the degree to which data points diverge from one another, helping researchers understand the potential range of values and associated uncertainty within the data.
The range is a simple measure of variability, indicating the difference between the highest and...
The range is a simple measure of variability, indicating the difference between the highest and...
163

