Summary of Ai Does Not Alter Perceptions Of Text Messages, by N’yoma Diamond
AI Does Not Alter Perceptions of Text Messages
by N’yoma Diamond
First submitted to arxiv on: 27 Jan 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Human-Computer Interaction (cs.HC)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The paper explores the potential of large language models (LLMs) in assisting individuals with anxiety, depression, or other social and mental factors who struggle with composing text messages. Despite the rapid adoption of LLMs, there is a lack of research on their assistive usage in text message composition. The study investigates how recipients perceive text messages that are believed to have been composed with or without AI assistance. The findings show that there is no statistically significant evidence that the belief in AI-assisted composition affects recipient perceptions of tone, clarity, and intent conveyance. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper looks at using large language models (LLMs) to help people who find it hard to send text messages because they’re anxious or stressed. Even though many people use LLMs now, nobody has looked at how making them assistive for texting would work out. The study asks people what they think about 18 different text messages that were either labeled as being written with AI help or not. It found that people didn’t care whether the message was written with AI or not – it still came across the same way. |
