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Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-08 12:24:15 +09:00

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Nudge
Choice Architecture
Behavioral Nudge
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none A 0.9 applied
behavioral-economics
ux
design
psychology
choice-architecture
2026-05-10 pending
language framework
typescript ux-design

Nudge Theory

매 한 줄

"매 choice architecture를 미세 조정하여 freedom of choice를 보존한 채 predictable한 방향으로 행동을 유도.". Richard Thaler · Cass Sunstein의 Nudge (2008) — 2017 Thaler 노벨경제학상. 2026 현재 UX design · public policy · health intervention · LLM safety의 기반 framework.

매 핵심

매 nudge 정의 (Thaler/Sunstein)

  • 매 small change in choice architecture
  • 매 predictable behavior change 유도
  • 매 옵션을 금지하지 않음 (libertarian paternalism)
  • 매 economic incentive 거의 없음 (cheap)

매 mechanism

  • Default: 매 default option 압도적 영향 (organ donation opt-in vs opt-out — 12% vs 99%).
  • Salience: 매 정보 visibility 증가.
  • Framing: 매 동일 정보, 다른 표현 (90% lean vs 10% fat).
  • Social proof: 매 "X% of users do Y".
  • Friction: 매 desired action은 쉽게, undesired는 hard.

매 응용

  1. UK Behavioral Insights Team — tax letter "9 of 10 pay on time" → 5% 회수율 증가.
  2. Spotify "Discover Weekly" → 매 default playlist으로 engagement 증가.
  3. Apple Health — 매 default 7000 step goal로 average +500 step.

💻 패턴

Default opt-in for desired behavior

// BAD: opt-in for 2FA
<Checkbox label="Enable 2FA (recommended)" defaultChecked={false} />

// GOOD: default-on with easy opt-out
<Checkbox
  label="Enable 2FA"
  defaultChecked={true}
  helperText="Recommended. You can disable in Settings."
/>

Friction: confirm destructive action

function DeleteAccountButton() {
  return (
    <ConfirmDialog
      title="Delete account?"
      requireType="DELETE my-username"  // typed friction
      cooldownSeconds={5}
    >
      <Button variant="danger">Delete</Button>
    </ConfirmDialog>
  );
}

Social proof nudge

<PricingCard plan="pro" badge="Most popular — 73% of teams choose this" />

Framing — loss aversion

// BAD (gain frame, weaker)
<p>Save $120/year with annual billing</p>

// GOOD (loss frame, stronger; Tversky/Kahneman)
<p>Stop paying $10/mo extra  switch to annual</p>

Salience — progress nudge

function ProfileCompletion({ percent }: { percent: number }) {
  return (
    <Banner show={percent < 100}>
      Profile {percent}% complete  add a photo to reach 100%
      <ProgressBar value={percent} />
    </Banner>
  );
}

Implementation intention prompt

// "When X happens, I will do Y" — proven habit formation
<Onboarding>
  <p>When will you exercise?</p>
  <Select options={["Morning", "Lunch", "Evening"]} />
  <p>Where?</p>
  <Input placeholder="Living room, gym..." />
</Onboarding>

매 결정 기준

상황 Approach
User benefits from default opt-out default
User must consciously choose opt-in, no default
Discourage harm friction (confirm, delay)
Encourage rare valuable action salience + reminder
Group conformity helpful social proof

기본값: transparent default + easy opt-out — 매 dark pattern과의 차별점.

🔗 Graph

🤖 LLM 활용

언제: UX flow 설계, public health/policy, habit-forming product, opt-in/opt-out 결정. 언제 X: high-stakes informed consent (의료, 금융 — 매 explicit choice 필수), regulated decision (legal contract).

안티패턴

  • Dark pattern (sludge): 매 친 user가 아닌 친 vendor — Sunstein 본인이 Sludge (2021)로 비판.
  • Hidden default: 매 user 모르게 enable — opt-in의 transparency 무시.
  • Manipulation > nudge: 매 deception (e.g. fake countdown) — ethics 위반.
  • Over-nudging: 매 모든 화면에 nudge — banner blindness.
  • No measurement: 매 A/B test 없이 nudge — direction 불명.

🧪 검증 / 중복

  • Verified (Thaler/Sunstein Nudge 2008 / 2021 final ed., UK BIT trial reports, Sunstein Sludge 2021).
  • 신뢰도 A.

🕓 Changelog

날짜 변경
2026-05-08 Phase 1
2026-05-10 Manual cleanup — Nudge theory (Thaler/Sunstein) + UX patterns