Automated Task Extraction from Emails: Aiding Autistic Individuals in the Workplace

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-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 languageEnglish
Title of host publicationUniversal Access in Human-Computer Interaction
EditorsMargherita Antona, Constantine Stephanidis
Pages343–359
Number of pages17
ISBN (electronic)978-3-031-93848-1
Publication statusPublished - 2025
Peer-reviewedYes

Publication series

SeriesLecture Notes in Computer Science
Volume15780
ISSN0302-9743

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

Keywords

  • ASD, assistive technology, autism, inclusive communication, neurodivergence, textual communication