"It's the only thing I can trust": Envisioning Large Language Model Use by Autistic Workers for Communication Assistance
March 05, 2024 Β· Declared Dead Β· π International Conference on Human Factors in Computing Systems
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Authors
JiWoong Jang, Sanika Moharana, Patrick Carrington, Andrew Begel
arXiv ID
2403.03297
Category
cs.HC: Human-Computer Interaction
Citations
44
Venue
International Conference on Human Factors in Computing Systems
Last Checked
3 months ago
Abstract
Autistic adults often experience stigma and discrimination at work, leading them to seek social communication support from coworkers, friends, and family despite emotional risks. Large language models (LLMs) are increasingly considered an alternative. In this work, we investigate the phenomenon of LLM use by autistic adults at work and explore opportunities and risks of LLMs as a source of social communication advice. We asked 11 autistic participants to present questions about their own workplace-related social difficulties to (1) a GPT-4-based chatbot and (2) a disguised human confederate. Our evaluation shows that participants strongly preferred LLM over confederate interactions. However, a coach specializing in supporting autistic job-seekers raised concerns that the LLM was dispensing questionable advice. We highlight how this divergence in participant and practitioner attitudes reflects existing schisms in HCI on the relative privileging of end-user wants versus normative good and propose design considerations for LLMs to center autistic experiences.
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