Bionic Vision as Neuroadaptive XR: Closed-Loop Perceptual Interfaces for Neurotechnology
Fuente:
arXiv
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866916887258988544 |
|---|---|
| author | Beyeler, Michael |
| author_facet | Beyeler, Michael |
| contents | Visual neuroprostheses are commonly framed as technologies to restore natural sight to people who are blind. In practice, they create a novel mode of perception shaped by sparse, distorted, and unstable input. They resemble early extended reality (XR) headsets more than natural vision, streaming video from a head-mounted camera to a neural "display" with under 1000 pixels, limited field of view, low refresh rates, and nonlinear spatial mappings. No amount of resolution alone will make this experience natural. This paper proposes a reframing: bionic vision as neuroadaptive XR. Rather than replicating natural sight, the goal is to co-adapt brain and device through a bidirectional interface that responds to neural constraints, behavioral goals, and cognitive state. By comparing traditional XR, current implants, and proposed neuroadaptive systems, it introduces a new design space for inclusive, brain-aware computing. It concludes with research provocations spanning encoding, evaluation, learning, and ethics, and invites the XR community to help shape the future of sensory augmentation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_05963 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Bionic Vision as Neuroadaptive XR: Closed-Loop Perceptual Interfaces for Neurotechnology Beyeler, Michael Emerging Technologies Human-Computer Interaction Visual neuroprostheses are commonly framed as technologies to restore natural sight to people who are blind. In practice, they create a novel mode of perception shaped by sparse, distorted, and unstable input. They resemble early extended reality (XR) headsets more than natural vision, streaming video from a head-mounted camera to a neural "display" with under 1000 pixels, limited field of view, low refresh rates, and nonlinear spatial mappings. No amount of resolution alone will make this experience natural. This paper proposes a reframing: bionic vision as neuroadaptive XR. Rather than replicating natural sight, the goal is to co-adapt brain and device through a bidirectional interface that responds to neural constraints, behavioral goals, and cognitive state. By comparing traditional XR, current implants, and proposed neuroadaptive systems, it introduces a new design space for inclusive, brain-aware computing. It concludes with research provocations spanning encoding, evaluation, learning, and ethics, and invites the XR community to help shape the future of sensory augmentation. |
| title | Bionic Vision as Neuroadaptive XR: Closed-Loop Perceptual Interfaces for Neurotechnology |
| topic | Emerging Technologies Human-Computer Interaction |
| url | https://arxiv.org/abs/2508.05963 |