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Case study 05 / 05

Course project · DEI 613 · Speculative design

Human Intelligence

A speculative design project set in 2050, when AI agents handle most of our conversations. Our team of three designed HI, an AR contact lens that rewards people for talking to each other and lets them choose how much AI help they get.

My role
UX Designer
Team
Carley Kerby, Kate Fretz, Sanaa Khalil
Timeline
4 weeks, 2025
Platform
AR contact lens (speculative)
Tools
Miro, Figma Make, Google AI Studio, ChatGPT, Sora
The Human Intelligence compose-message screen shown inside a VR headset visor
The compose-message screen from our final prototype

At a glance

The problem

In our 2050 scenario, AI writes our messages and smooths over every hard conversation. People are constantly connected, and losing the confidence to talk to each other directly.

My part

I developed the AI-enhanced personas, made the low-fidelity wireframes and the user flow, and worked on future casting, ideation and refining the prototype after critique.

What happened

A prototype of the HI lens with five features, from authenticity detection to Human Credits, plus the ethical questions it raises. It’s a provocation, not a product.

Problem: What happens when AI does most of the talking?

We imagined a future we called the emerging asocial society. Personal AI agents write messages, manage relationships, negotiate conflict and interpret emotions. It’s efficient, and emotionally distant.

With fewer chances to practise, people lose confidence in direct conversation and emotional expression. And because AI voices and avatars are so convincing, it gets hard to know who you’re actually talking to.

AI-mediated communication
Agents handle conversations, emotional tone, scheduling, work negotiations and social life.
Declining social skills
With AI smoothing over conflict, people rarely practise empathy, vulnerability or spontaneity.
Ambiguous authenticity
Synthetic speech, avatars and messages make it hard to tell a human from an algorithm.
Regulated digital society
Governments regulate AI communication, emotional data, identity verification and access to virtual spaces.
Scenario map of the asocial society in 2050
Our scenario map for the asocial society in 2050.

How might we

…design a digital tool or experience that helps people rebuild social skills and emotional intelligence in 2050, after decades of relying on AI to communicate?

Approach: Three people living in 2050.

We future-cast with infinity and scenario mapping, then built three personas across generations and cultures. I developed them through structured prompt engineering, iterating on emotional context, pain points, cultural tensions and AI reliance until they felt specific and believable.

We ideated together in Miro and voted on the strongest direction, then moved from low-fidelity wireframes and a user flow to a medium-fidelity prototype. After critique, we switched from Figma Make to Google AI Studio to build a more functional final version.

Lian Torres, 19, Manila

A university student who has grown up with AI shaping her tone, schedule and social life. She’s always connected, but anxious in unscripted conversation.

Needs

Safe chances to practise unfiltered conversation, and support for social anxiety that doesn’t replace her.

Amadou Toure, 47, Paris

A community liaison whose AI handles most of his negotiating at work. He feels overshadowed there and misunderstood at home, and wants to reconnect with his kids.

Needs

Help with hard conversations that doesn’t overwrite his personality or make him feel watched.

Elena Marković, 72, Zagreb

A retired archivist living alone with a government AI caregiver. Her children mostly reach her through algorithms instead of their own voices.

Needs

Easy, human-centred ways to communicate, and proof that a message really came from a person.

Ideation collage from the team's Miro board
Ideation in Miro.
Design moodboard: warm, inviting and minimal
Moodboard: warm, inviting, minimal.
User flow across the HI system
The user flow I designed, covering the main interactions across HI.

Insights: Each person needed AI to step back in a different way.

None of our personas wanted AI gone. They needed it to support them without speaking for them, and each needed something different.

  • Lian needed somewhere safe to practise.

    A bridge between full AI dependence and fully unscripted conversation.

  • Amadou needed support that kept his voice.

    Help in emotional moments that wouldn’t flatten his personality.

  • Elena needed proof it was really a person.

    Reassurance that the people and messages reaching her were human.

Why a contact lens

In our scenario, AR lenses have replaced screens as the main way people handle identity, communication and AI help. A lens can guide you hands-free without breaking eye contact, read real-time context like tone and presence, and confirm whether you’re talking to a person or a synthetic avatar. A phone can’t do that in the middle of a conversation.

Design: Talk to people, earn Human Credits.

HI is a government-led AR lens that tracks real human interaction and rewards it. When you speak for yourself, you earn Human Credits, which you can spend on supportive AI tools when you need them. The point isn’t to remove AI. It’s to rebuild trust in your own voice.

The concept in one line: “Be human. Learn with guidance. Reconnect with confidence.”

  • Authenticity detection

    Confirms you’re talking to a real person, not an AI agent, synthetic voice or generated avatar. Built for Elena.

  • Human / AI mediation slider

    Choose how much AI shapes what you say, from “Mostly Me” to light polish to heavier help. Built for Lian.

  • Human Credits

    Earned through verified human contact and spent on AI tools, so support is tied to practising. It rewards effort, not performance.

  • Social coaching

    Gentle real-time support in tense moments, without replacing your voice. Built for Amadou.

  • Scenario log

    Tracks human contact, AI reliance and communication choices over time, so you can see your own patterns.

Walking through it

HI prototype: Detecting a human
Detecting a human. The lens spots someone nearby, confirms they’re human and shows subtle biometric cues.
HI prototype: Nearby humans
Nearby humans. A scanner lists the people around you and how much each one relies on AI.
HI prototype: Human verified
Human verified. Once both people are verified, HI reads emotional cues and awards credits for the conversation.
HI prototype: Incoming message and tone risk
Incoming message and tone risk. A message with a passive-aggressive edge arrives. HI flags the tone and shows a sincerity index.
HI prototype: Reply yourself, or with AI
Reply yourself, or with AI. Sending your own words earns credits. Letting AI rewrite them costs credits.
HI prototype: Social coaching
Social coaching. Before a hard conversation, HI helps you breathe, set an intention and go in calm.
HI prototype: Credit tracker
Credit tracker. Face-to-face time earns the most credits. AI rewrites are where most get spent.
HI prototype: System menu
System menu. Settings for tone filters, plus your human and AI voice stats, verification and the scenario log.

Keeping the lens quiet

Because HI sits inside your field of view, the interface had to support the conversation without overpowering it. We kept it minimal, warm and ambient: soft transparent panels, small widgets, subtle glow and low-distraction overlays, with a clear hierarchy for social and emotional cues.

Early low-fidelity sketches of AR overlays
Early sketches of how an overlay could support a conversation.
Medium-fidelity prototype screens
Medium fidelity: widget placement, menus, notifications, mediation levels and human scanning.

Outcome: A provocation, not a product.

The final prototype covers the home view, incoming messages, composing a reply, human verification, social coaching, credit tracking and settings. Five decisions shaped it:

  • Support human communication, don’t replace it.

    HI gives people scaffolding to rebuild confidence in their own voice.

  • Reward emotional effort.

    Credits go to verified human contact, not popularity or productivity.

  • Make AI support adjustable.

    People have different comfort levels, so they choose how much help they get.

  • Prioritize trust.

    Authenticity detection answers a future where you can’t tell what’s human.

  • Keep AR subtle.

    Guide people without crowding the conversation or replacing real presence.

The questions it raises

HI deals with emotional data, government regulation and human behaviour, so ethics were central. We used these questions to position it as a provocation rather than a perfect solution:

  • Who controls the data the lens collects?
  • Should governments regulate access to AI support?
  • Could a credit system create social pressure or inequality?
  • How does authenticity detection avoid becoming surveillance?
  • How do you support people without manipulating their emotions?
  • What happens when “being human” becomes something measured?

Reflection: AI should be a scaffold, not a replacement.

HI pushed me past app design into how technology shapes behaviour, relationships and society. Speculative design let us question a future before it happens, and ask what gets lost when communication becomes too automated.

My biggest takeaway: designed responsibly, AI can help people rebuild confidence and trust. But concepts like HI also show the risk of measuring, regulating or gamifying human behaviour too aggressively.

What’s unresolved, and what I’d do next

  • The concept needs validation with real people across age groups, especially around AI mediation and authenticity detection.
  • AR contact lenses are speculative, so feasibility would need research.
  • Authenticity detection raises privacy and surveillance concerns that need a clear ethics framework: privacy, consent, emotional data and government involvement.
  • Explore how the lens would work for people with visual, cognitive, emotional or social accessibility needs.
  • Build a more interactive prototype of real-time tone mediation, credit tracking and coaching.