Analyzing the Impact of AI Tool Type and Work Environment on Employee Productivity: A Multiple Linear Regression Analysis​

Authors

• Katrina Gumerov, University of Central FloridaFollow
• Alex Weninski, University of Central FloridaFollow
• Victor Aviles, University of Central FloridaFollow

Streaming Media

Files

Course Code

STA

Course Number

4164

Faculty/Instructor

Nathaniel Simone

Faculty/Instructor Email

nathaniel.simone@ucf.edu

About the Author

We are Computer Science students in Professor Nathaniel Simone's Statistical Methods III class, and this project was a semester-long analysis of AI usage in the workplace. We would like to thank Professor Simone for all his assistance with this project.

Abstract, Summary, or Creative Statement

An assessment has been conducted to see how much AI tools and workplace conditions affect productivity using a multiple linear regression approach. This project looked at how different kinds of AI tools affect performance, as well as other things like commute time to work, employee well-being, and hours worked. The dataset was cleaned and restructured, and then the various AI tools were grouped into meaningful categories. After grouping the tools, an exploratory data analysis was conducted to look for trends. Finally, models were developed using multiple linear regression. For model selection, forward, backward, and stepwise model selection methods were used to identify the best-fitting model based on the AIC; all three resulted in the same model. The analysis showed evidence that both technology and human-related causes can impact productivity. Good examples of this are high-impact AI tools (particularly on coding and design), which have a positive impact on productivity and commute time, which is the greatest negative contributor to productivity. A key outcome of this study is that not all AI tools will provide the same level of benefit to the user, and therefore need to be carefully selected based on the user's task. In addition, this project also showed how important it is for an employee to have well-being at work in order to be productive. Overall, the conclusion is that in order for an employee to achieve maximum productivity, a balance between using effective AI tools and having a workplace that is conducive to their well-being.

Keywords

AI; Productivity; Profession; Well Being

Recommended Citation

Gumerov, Katrina; Weninski, Alex; and Aviles, Victor, "Analyzing the Impact of AI Tool Type and Work Environment on Employee Productivity: A Multiple Linear Regression Analysis​" (2026). High Impact Practices Student Showcase Spring 2026. 38.
https://stars.library.ucf.edu/hip-2026spring/38