# From Text to Self: Users' Perceptions of Potential of AI on Interpersonal Communication and Self

arXiv: https://arxiv.org/abs/2310.03976 · HTML: https://mlsanity.com/paper/2310.03976/

## Key facts

- Cited by 18 papers in the map (data through 14 Oct 2026).
- Builds on 2 of its 57 references that are in the map.
- First posted on arXiv 6 Oct 2023.

## Builds on (most cited first, 2 of 2)

- [Co-Writing with Opinionated Language Models Affects Users' Views](https://mlsanity.com/paper/2302.00560/) (2023)
- [Artificial intelligence in communication impacts language and social relationships](https://mlsanity.com/paper/2102.05756/) (2021)

## Built on by (most cited first, 18 of 18)

- [Prototypical Human-AI Collaboration Behaviors from LLM-Assisted Writing in the Wild](https://mlsanity.com/paper/2505.16023/) (2025)
- [Understanding the LLM-ification of CHI: Unpacking the Impact of LLMs at CHI through a Systematic Literature Review](https://mlsanity.com/paper/2501.12557/) (2025)
- [Exploring the Collaborative Co-Creation Process with AI: A Case Study in Novice Music Production](https://mlsanity.com/paper/2501.15276/) (2025)
- [Understanding and Supporting Formal Email Exchange by Answering AI-Generated Questions](https://mlsanity.com/paper/2502.03804/) (2025)
- [Collaborative Document Editing with Multiple Users and AI Agents](https://mlsanity.com/paper/2509.11826/) (2025)
- [Sword and Shield: Uses and Strategies of LLMs in Navigating Disinformation](https://mlsanity.com/paper/2506.07211/) (2025)
- [Content-Driven Local Response: Supporting Sentence-Level and Message-Level Mobile Email Replies With and Without AI](https://mlsanity.com/paper/2502.06430/) (2025)
- [Exploring Mobile Touch Interaction with Large Language Models](https://mlsanity.com/paper/2502.07629/) (2025)
- [Using Grok to Avoid Personal Attacks While Correcting Misinformation on X](https://mlsanity.com/paper/2601.04251/) (2026)
- [Chaplains' Reflections on the Design and Usage of AI for Conversational Care](https://mlsanity.com/paper/2602.04017/) (2026)
- [PersonaMail: Learning and Adapting Personal Communication Preferences for Context-Aware Email Writing](https://mlsanity.com/paper/2602.17340/) (2026)
- [Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms](https://mlsanity.com/paper/2604.23842/) (2026)
- [Priming, Path-dependence, and Plasticity: Understanding the molding of user-LLM interaction and its implications from (many) chat logs in the wild](https://mlsanity.com/paper/2605.05767/) (2026)
- [Should ChatGPT Write Your Breakup Text? Exploring the Role of AI in Relationship Dissolution](https://mlsanity.com/paper/2401.09695/) (2024)
- [Creativity in the Age of AI: Evaluating the Impact of Generative AI on Design Outputs and Designers' Creative Thinking](https://mlsanity.com/paper/2411.00168/) (2024)
- [Intersubjective Model of AI-mediated Communication: Augmenting Human-Human Text Chat through LLM-based Adaptive Agent Pair](https://mlsanity.com/paper/2502.18201/) (2025)
- [Large Language Model Use Impact Locus of Control](https://mlsanity.com/paper/2505.11406/) (2025)
- [LLM or Human? Perceptions of Trust and Information Quality in Research Summaries](https://mlsanity.com/paper/2601.15556/) (2026)

## Abstract (arXiv)

In the rapidly evolving landscape of AI-mediated communication (AIMC), tools powered by Large Language Models (LLMs) are becoming integral to interpersonal communication. Employing a mixed-methods approach, we conducted a one-week diary and interview study to explore users' perceptions of these tools' ability to: 1) support interpersonal communication in the short-term, and 2) lead to potential long-term effects. Our findings indicate that participants view AIMC support favorably, citing benefits such as increased communication confidence, and finding precise language to express their thoughts, navigating linguistic and cultural barriers. However, the study also uncovers current limitations of AIMC tools, including verbosity, unnatural responses, and excessive emotional intensity. These shortcomings are further exacerbated by user concerns about inauthenticity and potential overreliance on the technology. Furthermore, we identified four key communication spaces delineated by communication stakes (high or low) and relationship dynamics (formal or informal) that differentially predict users' attitudes toward AIMC tools. Specifically, participants found the tool is more suitable for communicating in formal relationships than informal ones and more beneficial in high-stakes than low-stakes communication.