Evidence — Residential
Residential Environment Evidence
Single-occupancy and multi-occupancy residential environments. Evidence records are generated against each of the twelve core principles, with a primary focus on occupant consent, ambient awareness, and reversibility.
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Site Context
The residential spoke encompasses twelve monitored environments ranging from single-occupancy apartments to multi-unit residential buildings. Environments were selected to represent a range of intelligent system densities — from basic ambient sensing to fully integrated building management systems. Occupant consent protocols were established prior to evidence collection.
Evidence by Principle
Awareness
P-01
Ambient Awareness
All twelve residential environments demonstrated compliant ambient awareness behaviour. Sensor activation and deactivation followed occupant-defined schedules without exception.
P-02
Contextual Sensitivity
Environmental context was correctly interpreted in ten of twelve environments. Two environments required vocabulary refinement to distinguish between 'occupied' and 'active occupancy' states.
P-03
Boundary Recognition
Principle scope was narrowed. In multi-unit buildings, system boundaries required explicit definition at the unit level rather than the building level. The principle now specifies the unit as the default boundary scope in residential contexts.
Agency
P-04
Occupant Primacy
Occupant override capability was present and functional in all twelve environments. No instance of system behaviour overriding an explicit occupant instruction was recorded.
P-05
Informed Consent
Consent protocols were followed in all environments. Occupants demonstrated understanding of system capabilities prior to activation in eleven of twelve cases. One environment required a revised consent briefing.
P-06
Preference Persistence
Occupant preferences were retained across system restarts and firmware updates in all environments. No preference loss events were recorded during the evidence period.
Accountability
P-07
Proportional Response
Principle scope was narrowed following residential testing. The definition of 'proportional' was found to be context-dependent in residential environments. A residential-specific applicability condition was added specifying that occupant comfort takes precedence over energy optimisation in single-occupancy contexts.
P-08
Transparent Operation
System operation logs were accessible to occupants in all twelve environments. Log format and accessibility met the specification requirements without modification.
P-09
Audit Readiness
Audit log retention periods required extension in residential contexts. The specification's default 90-day retention was insufficient for annual tenancy review cycles. A residential applicability condition now specifies a minimum 13-month retention period.
Adaptation
P-10
Graceful Degradation
All twelve environments maintained safe fallback states during connectivity loss events. No environment entered an unsafe or non-compliant state during the six degradation test scenarios.
P-11
Reversibility
Full system reversibility was achievable in all residential environments tested. No legacy infrastructure constraints were encountered. Reversibility was completed within the specified 72-hour window in all cases.
P-12
Adaptive Learning Bounds
Two environments produced evidence of adaptive learning behaviour that exceeded the bounds specified in the principle. The systems correctly identified occupant patterns but began anticipating preferences in ways occupants found intrusive. A new governance requirement for 'learning transparency' is under development for the next version cycle.
Key Findings
Consent protocols are effective at the unit level
Residential environments with unit-level consent protocols showed higher occupant satisfaction and fewer override events than environments with building-level protocols.
Adaptive learning requires explicit bounds
The most significant emerged finding from residential environments is the need for explicit governance of adaptive learning behaviour. Occupants accept pattern recognition but resist anticipatory action without explicit authorisation.
Reversibility is achievable in residential contexts
Unlike commercial environments, residential intelligent systems were fully reversible in all tested cases. This is attributed to the relative recency of residential intelligent system installations and the absence of legacy infrastructure dependencies.