Switched Reading: Toward Seamless Visual-Auditory Switching When Reading Text in Augmented/Mixed Reality
Augmented/mixed reality (AR/MR) wearable glasses now permit information interaction anywhere, but visual displays can be inappropriate when real-world awareness is essential. We propose Switched Reading, a novel interaction framework for reading text in AR/MR that supports switching between visual and auditory modalities as needed. Specifically, we explore two key interaction techniques within this framework: (1) gaze-based voice playback and (2) a correspondence-aware transition effect. We impl
Record details
Published: 7 August 2026
Source: arXiv cs.HC
Category: Research
Topics: Transparency
Retrieved: 10 August 2026
Related evidence
These records share source-supplied organisations, an exact publisher byline, automatic topics or regions. The reason is shown on every link; related does not mean supporting, agreeing with or verifying this record.
Soft Redaction of Image Provenance via Zero-Knowledge Proofs
arXiv · 7 August 2026
Human-Centered Explainable AI for TinyML Edge Devices: A Pareto-Based Selection Framework with LLM-Guided Design
arXiv cs.HC · 7 August 2026
How Users Interpret AI-Assisted Reviews: Disclosure Design and Authenticity Perceptions
Computers in Human Behavior · 7 August 2026
Beyond the Black Box: Interpretable Models of Human Randomisation Failures
arXiv cs.AI · 7 August 2026
Gender-Based Heterogeneity in Youth Privacy-Protective Behavior for Smart Voice Assistants: Evidence from Multigroup PLS-SEM
arXiv cs.CY · 7 August 2026
Plausible Patients, Impossible Populations: Auditing Epidemiological Fidelity in Large Language Model Mental Health Simulations
arXiv cs.CY · 7 August 2026
How to cite this record
ethics.ai (7 August 2026), “Switched Reading: Toward Seamless Visual-Auditory Switching When Reading Text in Augmented/Mixed Reality,” evidence record 17902, https://ethics.ai/record/17902 (originally published by arXiv cs.HC).
Use and limitations
This page is a stable index and citation surface for a source record. ethics.ai did not author the underlying report and has not independently verified every claim. Automatic topics may be imperfect. For consequential use, quote and cite the original publisher.