TwIPS: A Large Language Model Powered Texting Application to Simplify Conversational Nuances for Autistic Users

TL;DR

TwIPS is an LLM-powered texting app designed to help autistic users interpret and convey emotional nuances, improving communication clarity and reducing mental effort in social interactions.

Contribution

This paper introduces TwIPS, a novel AI-assisted texting application tailored for autistic users to enhance emotional understanding and expression in digital communication.

Findings

TwIPS helps users clarify message tone and meaning.

It offers better alternatives to tone indicators.

Participants found it facilitated reflection on their writing style.

Abstract

Autistic individuals often experience difficulties in conveying and interpreting emotional tone and non-literal nuances. Many also mask their communication style to avoid being misconstrued by others, spending considerable time and mental effort in the process. To address these challenges in text-based communication, we present TwIPS, a prototype texting application powered by a large language model (LLM), which can assist users with: a) deciphering tone and meaning of incoming messages, b) ensuring the emotional tone of their message is in line with their intent, and c) coming up with alternate phrasing for messages that could be misconstrued and received negatively by others. We leverage an AI-based simulation and a conversational script to evaluate TwIPS with 8 autistic participants in an in-lab setting. Our findings show TwIPS enables a convenient way for participants to seek clarifications, provides a better alternative to tone indicators, and facilitates constructive reflection on writing technique and style. We also examine how autistic users utilize language for self-expression and interpretation in instant messaging, and gather feedback for enhancing our prototype. We conclude with a discussion around balancing user-autonomy with AI-mediation, establishing appropriate trust levels in AI systems, and customization needs if autistic users in the context of AI-assisted communication