Conversational Successes and Breakdowns in Everyday Smart Glasses Use
This work informs the design of future voice-only interfaces for smart glasses, but it is incremental as it builds on existing research with a small-scale study.
The study investigated conversational successes and breakdowns in everyday use of non-display smart glasses with voice-only LLM interaction, identifying patterns through a month-long collaborative autoethnography with two participants and comparing them to prior voice-only interaction findings.
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.