Designing Non-Intrusive Proactive Interventions and Understanding Their Effects

Determine how to ensure that proactive interventions by always-on smart-glasses agents are perceived as welcome rather than intrusive, and ascertain how such proactive assistance affects user agency and decision-making over time.

Background

Proactive assistance could leverage ongoing egocentric sensing to surface timely suggestions (e.g., retrieving shopping lists in a store, offering meeting briefings). However, proactive prompts risk intrusiveness and may alter users’ sense of control.

The authors identify two concrete open questions: how to design proactive interventions that are welcome rather than intrusive, and how these interventions impact user agency and decision-making trajectories over extended use.

References

Important open questions include how to ensure proactive interventions are welcome rather than intrusive, and how proactive assistance affects user agency and decision-making over time.

VisionClaw: Always-On AI Agents through Smart Glasses  (2604.03486 - Liu et al., 3 Apr 2026) in Section 8 Limitations and Future Work — Proactive Always-On AI Agents