International Journal of Human-Computer Studies· 2026Q1
“Triggering autonomy, not just automation”: Design implications for LLM-based home automation assistants for people with intellectual disability
- 0citations
- Q1SCImago
- 2026year
Short summary
LLM-powered conversational interfaces can enable individuals with intellectual disabilities (ID) to program smart home behaviors, moving beyond simple automation to foster true autonomy.
AI-generated from the title and abstract; the full text is not read.
Key points
- LLMs can support individuals with intellectual disabilities (ID) in programming smart home behaviors.
- Conversational interfaces powered by LLMs can make automation programming more accessible.
- This approach moves beyond simple automation to enable greater autonomy for users with ID.
- Iterative clarifications through natural conversation are key to effective programming.
AI-generated from the title and abstract; the full text is not read.
Abstract
Smart home technologies offer considerable potential to enhance autonomy, safety, and quality of life for individuals with intellectual disabilities (ID). Yet, configuring and personalizing such systems remains challenging due to complex interfaces and the technical expertise required. Traditionally, End-User Development (EUD) is often proposed as a way for non-experts to autonomously configure home devices. This work investigates the extent to which Large Language Models (LLMs) can provide effective support to people with ID in applying EUD. It explores whether an LLM-powered conversational interface can support individuals with ID in shaping smart home behaviors through natural conversations. Insights from exploratory sessions involving users with ID, caregivers, and stakeholders demonstrate a positive attitude towards this approach and suggest that conversational interaction can foster accessibility of automation programming through iterative clarifications. We conclude by outlining design opportunities and broader implications that can inform future research towards LLM-based EUD interfaces for people with ID.
The authors' abstract, as published at the source. International Journal of Human-Computer Studies, 2026 · DOI ↗
Continue with a free account
Ask the paper: 3 free questions a day about this paper; save it, get its citation, new summaries every day for your field. Takeaways are Premium.
Continue free on the webSign in with Google or Apple; no card needed. You come back to this paper.
On your phone:
Field: Software
SoftwareComputer Science