Date of Award
1-1-2023
Document Type
Thesis
Degree Name
M.S. in Engineering Science
First Advisor
Thai Le
Second Advisor
Feng Wang
Third Advisor
Timothy Holston
School
University of Mississippi
Relational Format
dissertation/thesis
Abstract
Recently, a lot of new natural language models have been developed which help individuals with writing. One of the widely used tools is Google’s Smart Compose which is a text-predictive system that helps individuals to write by reducing the need for repetitive typing. Though this tool has been well established and used by a lot of people, there is a lack of studies on its impact on open-ended writing.
In this thesis, we investigate the effect of Google’s Smart Compose in open-ended writing. To do this, we built a custom software that collects data while the users are writing on Google Docs web application. We recruited 119 individuals who wrote on Google Docs where 55 of the individuals had smart compose enabled while the other 59 had the smart compose disabled. We then compared the writings of those two groups. Additionally, we also compared the participants’ writing process under different suggestions.
Our results show that Google’s Smart Compose does not have a significant quantitative or qualitative effect on open-ended writing. However, one positive impact of Google’s Smart Compose is that it reduced the time required to write a character by 35.3 milliseconds. This was measured by comparing the time it took to write 10 characters before and 10 characters after the suggestion appeared.
Recommended Citation
Shrestha, Sijan, "The Effects of Google Smart Compose on The Process of Open-Ended Writing" (2023). Electronic Theses and Dissertations. 2722.
https://egrove.olemiss.edu/etd/2722