Non-Display Smart Glasses hold the potential to support everyday activities by combining continuous environmental sensing with voice-only interaction powered by large language models (LLMs). Understanding how conversational successes and breakdowns arise in everyday contexts can better inform the design of future voice-only interfaces. To investigate this, we conducted a month-long collaborative autoethnography (n=2) to identify patterns of successes and breakdowns when using such devices. We then compare these patterns with prior findings on voice-only interactions to highlight the unique affordances and opportunities offered by non-display smart glasses.
@article{arxiv.2602.22340,
title = {Conversational Successes and Breakdowns in Everyday Smart Glasses Use},
author = {Xiuqi Tommy Zhu and Xiaoan Liu and Casper Harteveld and Smit Desai and Eileen McGivney},
journal= {arXiv preprint arXiv:2602.22340},
year = {2026}
}