| Title |
SwedinSkyler_MCS_2025 |
| Alternative Title |
Findings on Preferences Between Human and Artificial Data Summaries |
| Creator |
Swedin, Skyler Lee |
| Contributors |
Ball, Robert (advisor) |
| Collection Name |
Master of Computer Science |
| Description |
This study examines public preferences for AI-generated versus human-written data summaries, revealing statistically significant differences tied to gender and educational background. Findings show that women with non-STEM backgrounds tend to prefer human-written summaries, while men with STEM backgrounds favor AI-generated ones, with other groups falling in between. |
| Abstract |
Data is a common, indispensable utility in the modern world. This utility is so; great that we continue to produce and store an unending amount of it, using it to enrich; our lives. With its great volume it has become increasingly difficult to process and; comprehend at a reasonable speed. We have, therefore, begun to utilize summarizations; to quickly process new information from this otherwise intractable data. Artificial; intelligence, another useful utility, is often used to create these summaries which are so; useful in saving us time, but how receptive is the public to artificial data summaries? We; ran an experiment to measure the preferences people exhibit toward data summaries; generated by an artificial intelligence vs data summaries written by humans. We found; statistically significant differences in the types of summaries people prefer, and how; those change depending on the person. Specifically, women with non-STEM (Science,; Technology, Engineering, and Mathematics) educational backgrounds report a preference; for human written summaries, whereas men with a STEM educational background report; the opposite. Women with a STEM background and men with a non-STEM background; fall somewhere in between |
| Subject |
Computer science; Artificial intelligence |
| Digital Publisher |
Digitized by Special Collections & University Archives, Stewart Library, Weber State University. |
| Date |
2025-07 |
| Medium |
Thesis |
| Type |
Text |
| Access Extent |
135 page pdf |
| Conversion Specifications |
Adobe Acrobat |
| Language |
eng |
| Rights |
The author has granted Weber State University Archives a limited, non-exclusive, royalty-free license to reproduce his or her thesis, in whole or in part, in electronic or paper form and to make it available to the general public at no charge. The author retains all other rights. For further information:  |
| Source |
University Archives Electronic Records: Master of Education. Stewart Library, Weber State University |
| Format |
application/pdf |
| ARK |
ark:/87278/s6c7w6d3 |
| Setname |
wsu_smt |
| ID |
154961 |
| Reference URL |
https://digital.weber.edu/ark:/87278/s6c7w6d3 |
