Automated Task Extraction from Emails: Aiding Autistic Individuals in the Workplace
摘要
The development of assistive technologies for autistic persons, particularly in the realm of email communication, is a burgeoning field that intersects multiple domains including human-computer interaction, natural language processing, and cognitive psychology. This research seeks to address this gap by developing an innovative assistive technology that leverages Natural Language Processing (NLP) techniques and Large Language Models (LLMs). The primary objective of this study is to create a tool that automatically extracts tasks and deadlines from emails, presenting them in a clear and user-friendly format. The proposed system aims to reduce cognitive load and improve task management for both autistic and neurotypical employees. The system was evaluated through a user study, demonstrating significant improvements in task comprehension and management efficiency. This study demonstrates the potential of NLP and LLM-based technologies to improve accessibility in professional communication. The insights gained from this study offer a strong foundation for future advancements in assistive email processing technologies.