Automated Task Extraction from Emails: Aiding Autistic Individuals in the Workplace
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review
Contributors
Abstract
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.
Details
| Original language | English |
|---|---|
| Title of host publication | Universal Access in Human-Computer Interaction |
| Editors | Margherita Antona, Constantine Stephanidis |
| Pages | 343–359 |
| Number of pages | 17 |
| ISBN (electronic) | 978-3-031-93848-1 |
| Publication status | Published - 2025 |
| Peer-reviewed | Yes |
Publication series
| Series | Lecture Notes in Computer Science |
|---|---|
| Volume | 15780 |
| ISSN | 0302-9743 |
External IDs
| unpaywall | 10.1007/978-3-031-93848-1_23 |
|---|---|
| dblp | conf/hci/GollaschBDW25 |
| ORCID | /0000-0002-6151-2152/work/186183362 |
| Scopus | 105008265021 |
Keywords
ASJC Scopus subject areas
Keywords
- ASD, assistive technology, autism, inclusive communication, neurodivergence, textual communication