ClaraView: Private. In-the-Moment. Connected.
ClaraView: 隱私優先的智能眼鏡生態系統
Class: PD2402
Location: A405
Time: Tue. pm; Fri. am
1. Project Overview
- Project Name:
Clara, from Latin Clarus--bright, clear, transparent--carries a deliberate double meaning in this project.
Optically, it names what eyewear has always done: render the world clear.
Ethically, it names what this device must do differently, which is to remain clear to its wearer. Here, privacy is not a promise, but a verifiable state. Transparency is not just a technical feature, but also a form of respect.
- Vision statement:
To develop smart glasses that seamlessly integrate AI capabilities and elevate privacy and scenario-driven ecosystem connectivity.
- Core Objectives:
- Privacy can be a design constraint that becomes a selling point, not just a compliance checkbox.
- Deliver a technically robust, comfortable, and stylish AI-powered wearable.
- Validate product-market fit across target user segments.
- Establish sustainable business model and ecosystem partnerships.
3. Case Study: Even G2
G2 demonstrates that doing less (no camera, no complex onboard compute) but doing it reliably, privately, and stylishly can outperform a feature-maximalist approach.
4. Pillars:
Pillar A: Privacy & Trust by DesignPrivacy and bystander impact are gating criteria for every feature, not compliance add-ons. Prefer no capture → minimal capture → on-device processing → cloud only when necessary. Capture indicators must be hardware-backed, visible, and not software-disableable.
Pillar B: Scenario Value & Wearability
Combine user research with scenario invention. Prioritize scenarios where the cost of absence exceeds the cost of wearing, especially those rooted in physiological, safety, or contractual needs. Validate frequency, duration, interruption cost, and fallback behavior—not just novelty or demo value.
Deliverables: Scenario Prioritization Matrix + Scenario Journey Maps.
Pillar C: Distributed Sensing & Ecosystem Integration
The glasses are a contextual interface within a distributed system—not a universal sensor or a standalone computer. Place sensors close to the measured object, and allocate computing according to latency, privacy, and bandwidth. Connect phones, appliances, and cloud services through controlled interfaces, with graceful degradation when connections fail.
Pillar D: Actionable Perceptual Augmentation
Reveal hidden properties only when sensing is reliable and the result can guide action. Present fast-changing information as one or two values; present slow-changing information as event-based guidance. Every output should indicate confidence, freshness, and source.
- Environmental: verified readings from nearby sensors—water hardness, air quality, pollen, and UV exposure.
- Accessibility: sound amplification, captions, color assistance, and low-light support where technically feasible.
- Safety: verified hazard alerts and allergen decision support; avoid unsupported medical, safety, or structural claims.
Style is not a branding layer added at the end. Comfort, weight, fit, prescription compatibility, appearance, battery life, and social acceptability determine whether people continue wearing the product.
First a good pair of glasses, then a smart device.
P1 · 通道分工
P2 · 需求先行
P3 · 翻译,不是显示
P4 · 减法优先,形态即产品
P5 · 隐私不对称原则。
- 不戴的时候,用户损失什么?
- 变量是快还是慢?慢变量不要放进视野。
- 这个数据凭什么可信?
- 删掉哪个功能,产品反而更好?
- 旁观者会怎么想?


