The Impact of Generative AI on Human Productivity in Creative Writing

Authors

  • Vinay Bhimavarapu Westfield High School

DOI:

https://doi.org/10.47611/jsrhs.v12i3.4780

Keywords:

AI, Artificial Intelligence, Generative AI, Generative Artificial Intelligence, Productivity, Quality, Satisfaction, Creative Writing, Writing, ChatGPT, Human-Computer Interaction, Cognitive Science, Psychology, Efficiency, Comparative Analysis, Writing Assistance, Creative Content Generation, User Perception, Writing Process

Abstract

With the innovative field of generative artificial intelligence having advanced at an incredibly rapid rate, its applications are of the utmost priority to study. The purpose of this study is to determine whether or not generative AI can help increase human productivity, specifically in writing. We hypothesized that generative AI will have a positive impact on human productivity. In order to test this, we employed the use of participants to write short fictional stories, one with the help of AI and one without. They were provided with survey questions that helped assess any changes in productivity levels. The productivity of the participants was also analyzed in terms of grammar, spelling, and consistency while compared against time . With the results obtained, we hoped to assess how AI can impact productivity in creative tasks (i.e., writing, art). We also hoped to understand its broader applications for human use and potential benefits and caveats to using generative AI. Based on the results, we concluded that using generative AI did indeed improve writing productivity as it lowered the amount of errors and shortened the time taken. However, how productive the individual was in producing quality work of their own merit also depended on how much work they delegated to the generative AI as well as how they perceived it.   

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References or Bibliography

Baidoo-Anu, David and Owusu Ansah, Leticia, Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning (January 25, 2023). Available at SSRN: https://ssrn.com/abstract=4337484 or http://dx.doi.org/10.2139/ssrn.4337484

Castelli, Mauro, and Luca Manzoni. “Generative Models in Artificial Intelligence and their Applications.” applied sciences, 2022, p. 3. SSRN, https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4337484. Accessed 2023.

GitHub Next and Microsoft Office of the Chief Economist. “Research: quantifying GitHub Copilot's impact on developer productivity and happiness.” The GitHub Blog, 7 September 2022, https://github.blog/2022-09-07-research-quantifying-github-copilots-impact-on-developer-productivity-and-happiness/. Accessed 17 May 2023.

Nielsen Norman Group. Time Spent On Writing Subtasks. 2023. LinkedIn, https://www.linkedin.com/posts/jakobnielsenphd_chatgpt-productivity-ai-activity-7051574746928320512-3DrA/?trk=public_profile_share_view.

Published

08-31-2023

How to Cite

Bhimavarapu, V. (2023). The Impact of Generative AI on Human Productivity in Creative Writing. Journal of Student Research, 12(3). https://doi.org/10.47611/jsrhs.v12i3.4780

Issue

Section

HS Research Projects