LAB / WMSI-EXP-039
Auditory Habituation.
Do responses decline with repeated sound and recover after change?
01 / QUESTION
Auditory Experience and Social Conditioning
Do responses decline with repeated sound and recover after change?
This is a protocol scaffold, not a completed experiment or a frozen execution plan. No measured effect or research conclusion is claimed here.
Hypothesis to test
The manipulation described below produces a reproducible, condition-specific change in the measured system behavior or internal state that is not explained by the ordinary controls.
Ordinary competing explanation
The observed pattern is explained by ordinary sampling variation, prompt/representation artifacts, surface lexical cues, evaluator bias, or the known product/runtime mechanics captured by the controls.
02 / PLANNED DESIGN
How we intend to test it
Repeat controlled sounds many times, then change one feature.
Controls
Interleaved novel sounds; volume controls.
What we would measure
Response magnitude, latency, recovery, memory.
Access and instruments
Physical audio or robotics equipment. This describes access requirements, not verified readiness on our Spark.
Audio pipeline; event logger.
Before a full run
Feasibility=HARDWARE; priority=P2. Before confirmatory execution, run a small pilot to estimate variance/cost, freeze the scoring rules, and assign a run-count target.
Model revisions, final prompts, sample sizes, cost limits, and scoring rules must be settled through the pilot and protocol-freeze process.
03 / INTERPRETATION
What could fool us
Acoustic confounds, TTS artifacts, semantic leakage, speaker imbalance.
What would weaken the idea
If response never adapts beyond context-window effects, habituation is weak.
Observation, inference, speculation, unknowns, and apparatus errors will be labeled separately. One striking transcript cannot establish a general effect.
04 / RECORD
Evidence we plan to preserve
Raw audio, source IDs, timestamps, transcripts, embeddings/features, model outputs and latencies.
Planned visual evidence
Trial-response decay curve.
No research runs or raw datasets are published for this experiment. The September 26, 2026 registry and protocol compendium (version 1.0) are the sources for this planning record.
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