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Adaptive Domesticity Research
01-03 - OBJECT TO APARTMENTOngoing2024

Adaptive Domesticity

Why does a Tokyo apartment feel different from a Paris one? We measured.

Scale 01-03 Multi
Regions 8 cultures
Duration 12 months
Team 3 researchers
Tools Python CV
Status Active Ongoing
01

Walk into a Tokyo apartment. The kitchen flows into the living room. No door, no threshold. It feels open, almost exposed.

Walk into a Paris apartment. The kitchen hides behind a door. Always. The salon is for guests; the kitchen is for work. They don't mix.

Walk into an Istanbul apartment. There's a formal salon for guests, completely separate from the family living room. Two worlds under one roof.

Why? These aren't random preferences. They're cultural patterns encoded in space. Privacy gradients. Hospitality protocols. Rules about who sees what. We set out to measure them.

Comparative analysis of furniture joinery across cultures

Furniture as Evidence: Joint complexity predicts spatial hierarchy. Complex joinery correlates with more threshold conditions.

02

Theoretical Framework

01

Furniture Scale

3,200 pieces photographed and measured. Joint typologies reveal cultural attitudes toward craftsmanship and material.

02

Room Scale

47 apartments tracked over 6 months. LiDAR and depth cameras documented daily routines.

03

Typology Scale

856 floor plans from 1920 to 2024. Machine learning extracted room adjacencies, circulation patterns, privacy gradients.

04

Cultural Synthesis

All three scales feed into a pattern database. Products like SpaceCraft use this data.

03

Research Process

01

Document Furniture

Computer vision analysis of 3,200 pieces from 8 cultural regions

02

Track Occupancy

47 apartments observed with LiDAR and depth cameras

03

Analyze Plans

856 floor plans processed with ML for pattern extraction

04

Synthesize Patterns

Cultural typology database for product integration

04

Research Phases

01

Furniture Documentation

Computer vision analysis of 3,200 pieces from 8 regions. Joint typologies, material transitions, proportion systems.

02

Occupancy Tracking

47 families let us install cameras. Six months of morning routines, evening gatherings, sleeping transitions.

03

Floor Plan Analysis

856 plans from a century of housing. ML extracts adjacencies, proportions, circulation hierarchies.

04

Product Integration

Cultural pattern database powers SpaceCraft scanner.

05

Key Metrics

3,200
Furniture Pieces
From 8 cultural regions
47
Apartments Tracked
6-month observation
856
Floor Plans
1920-2024 analysis
0.73
Correlation
Joinery to spatial hierarchy
06

Key Thinkers

01

Gottfried Semper

German Architect, 1803-1879

Semper argued that architecture begins with textile weaving and furniture joinery, not monumental form. We took him literally and started measuring furniture joints.

02

Gaston Bachelard

French Philosopher, 1884-1962

The Poetics of Space taught us that houses are emotional, not just geometric. Corners protect us. Attics dream. Cellars store fears. Our research tries to measure what Bachelard described.

03

Junichiro Tanizaki

Japanese Author, 1886-1965

In Praise of Shadows explains why Japanese spaces value penumbra while Western spaces chase illumination. There's no universal 'good design.' There are cultural grammars.

04

Edward T. Hall

American Anthropologist, 1914-2009

Hall invented proxemics: the study of human spatial relationships. Comfortable distances vary by culture. Our privacy gradient metrics extend his work.

07

Case Studies

Tokyo Compact Living

Shibuya, Tokyo

32 square meters with no doors between living spaces. Privacy through ritual, not walls. Morning routines are choreographed to avoid collision.

32 m² Size
0 Thresholds

Paris Haussmann Apartment

6th Arrondissement, Paris

Classic bourgeois layout. Kitchen hidden from salon. Service corridor for staff. 95 square meters with 4 distinct threshold conditions.

95 m² Size
4 Buffer Zones

Istanbul Multi-Generational

Kadikoy, Istanbul

Guest salon completely isolated from family living. Grandmother has her own entrance. Hospitality and intimacy don't share space.

140 m² Size
Isolated Guest Salon

Comparative Analysis

Tokyo

The Flowing Space

No doors between living areas. Privacy through ritual, not walls. Kitchen is the social center.

OpenRitual-BasedJapan

Paris

The Hidden Kitchen

Kitchen always separate. Service and served spaces don't mix. Guests see the salon, not the mess.

CompartmentalizedFormalFrance

Istanbul

The Guest Salon

Two living rooms: one for family, one for guests. Hospitality has its own architecture.

Dual ZonesHospitalityTurkey

Marrakech

The Courtyard Home

Blank exterior, rich interior. All rooms face the central court. Maximum privacy from street.

IntrovertedClimate-AdaptedMorocco
05

Optimization Results

100% 75% 50% 25% 0%
5%
5%
3%
3%
1%
Istanbul
Marrakech
Tokyo
Paris
LA (Open)

How many thresholds between street and most private room?

08

Key Findings

01

Furniture joints predict spatial hierarchy. Cultures with complex joinery (Japan, Scandinavia) have more nuanced room transitions.

0.73 correlation
02

Turkish apartments have 2.3 times more 'buffer zones' than Tokyo apartments. Hospitality protocols are encoded in circulation.

2.3× more buffers
03

Parisian kitchens are 40% smaller than Tokyo kitchens in same-sized apartments. Privacy gradient trumps cooking space.

40% size difference
04

Morning routines in Istanbul start 25 minutes later than Tokyo. Urban rhythm shapes domestic choreography.

25 min offset
09

Honest Limitations

Data Dependency

47 apartments is a small sample. We see patterns, not statistical proof.

Data Dependency

All apartments were middle-class urban. We can't claim this applies to social housing or luxury.

Behavioral Assumption

Cameras change behavior. 'Natural' routines might be performances.

Temporal Limitation

1920s floor plans versus 2024 occupancy. Building stock evolved faster than our analysis.

10

Conclusion

Domestic space encodes culture. The way a door is positioned, where the kitchen sits, how many thresholds separate street from bedroom: these aren't random choices. They're cultural grammars. We can measure them, compare them, and design with them.

Limitations

  • Small sample size
  • Middle-class focus

Future Directions

  • Expand to social housing
  • Real-time occupancy API