{"schema_version":1,"experiment_id":"eoa_inverse_innovation_exp06_four_proposal_generalization60_20260803","cell_id":"catalytic_pathway_enablement__human_computer_interaction","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_id":"hci_behavioral_prototype_foundry","proposal_index":4,"version":0,"title":"Governed Behavioral Prototype Foundry","problem":"A design team may need to observe how people respond to a proposed adaptive, conversational, or context-sensitive interface behavior before the planned backend exists. Each hypothesis otherwise requires bespoke software, improvised researcher intervention, or a static mockup that cannot reproduce the timing and branching under study. Producing a testable interaction is feasible, but rebuilding its behavioral interior for every concept creates a recurring setup and coordination barrier.","actors":["Product designers","UX researchers","Research participants","Trained simulation operators","Prototype engineers","Research ethics and privacy reviewers","Prototype-foundry steward"],"observable_state":"A research plan specifies user-visible behavior but cannot begin until custom logic is implemented; a clickable mockup omits response timing or branching; researchers manually improvise system responses without a shared script; or different sessions expose participants to materially different behavior because the substitute interior is not controlled.","consequence":"Teams can commit engineering effort before examining the interaction question, rely on evidence from a surface that does not enact the proposed behavior, or obtain session results confounded by inconsistent hidden operation.","affected_objective":"Reduce the repeated setup burden between a bounded interaction-behavior hypothesis and a controlled participant-facing trial while preserving informed consent, behavioral fidelity, operator welfare, privacy, and the distinction between experiential evidence and technical feasibility.","intervention":"Establish a reusable behavioral-prototype foundry consisting of a versioned participant-facing shell, an operator console, validated behavior modules, and a governed specialist lane. An eligible research team submits a behavior contract specifying visible states, permitted participant actions, response branches, timing bounds, prohibited responses, logging, consent, and the question the trial may answer. The console binds that contract to the reusable shell; automation executes fixed transitions while a trained hidden operator supplies only declared unresolved behavior. Deviations and ambiguous inputs route to a safe fallback rather than improvisation. After each session, the foundry releases authorized research records, completes the promised debrief, clears participant-specific state, resets the scenario, records fidelity and workload signals, and returns ready for another trial. Operator load, response deviations, privacy events, and analysis capacity govern admission, refresh, and shutdown.","structural_mapping":[{"archetype_element":"Target transformation specification","domain_realization":"Transform an eligible specification of hypothetical interface behavior into a controlled participant-facing interaction session that can answer a bounded experience question."},{"archetype_element":"Activation barrier","domain_realization":"Each hypothesis otherwise requires rebuilding response logic, interface plumbing, operator controls, event logging, and research safeguards before the proposed interaction can be experienced."},{"archetype_element":"Permitted pathway boundary","domain_realization":"The foundry may simulate declared user-visible behavior for low-risk research; it may not establish backend feasibility, production reliability, model capability, security, safety, or authorization for deployment."},{"archetype_element":"Eligible substrate","domain_realization":"A low-consequence interaction hypothesis with a finite behavioral envelope, explicit fallback states, reversible participant actions, a defined experience question, and approved consent and debrief procedures."},{"archetype_element":"Reusable facilitator","domain_realization":"The shared prototype shell, operator console, behavior-module library, and trained simulation lane repeatedly instantiate different bounded behaviors without being incorporated into the proposed product."},{"archetype_element":"Facilitator–substrate interface","domain_realization":"A behavior contract declares inputs, visible outputs, response branches, timing windows, operator discretion, fallbacks, prohibited content, logging, and the evidentiary claims allowed after the trial."},{"archetype_element":"Selectivity rule","domain_realization":"Only hypotheses that the shell and operator can reproduce within the declared envelope enter the foundry; open-ended, consequential, technically diagnostic, deceptive beyond approved consent, or privacy-sensitive cases require another method."},{"archetype_element":"Cofactor system","domain_realization":"The facilitator requires an approved research protocol, participant-facing assets, test data, trained operator coverage, secure logging, and researcher analysis capacity. These complements enable turnover but are not the reusable foundry itself."},{"archetype_element":"Release condition","domain_realization":"A session begins only after rehearsal and consent checks pass; its evidence is released only with fidelity deviations attached and completion of the promised participant debrief."},{"archetype_element":"Regeneration cycle","domain_realization":"After each session, participant-specific state is removed, test data are restored, logs are sealed to the approved study, operator notes are completed, the scenario is reset, and fatigued or deviating operators rotate out."},{"archetype_element":"Turnover capacity","domain_realization":"Useful turnover is completed in-envelope sessions per shell and operator unit over time, measured with setup effort, response latency, deviations, fallback use, operator recovery, privacy exceptions, and scenario-reset time."},{"archetype_element":"Inhibition and poisoning","domain_realization":"Ambiguous scripts, unbounded participant input, stale interface assets, operator fatigue, hidden researcher cues, cross-session data residue, latency instability, or pressure to improvise can suppress or corrupt fidelity."},{"archetype_element":"Downstream recipient","domain_realization":"The UX researcher receives bounded experiential evidence and deviation records; session admission is capped to operator and research-analysis capacity so the foundry does not create an unanalyzed evidence backlog."},{"archetype_element":"Equilibrium neutrality","domain_realization":"The foundry accelerates access to a simulated experience. It does not make the planned system buildable, accurate, affordable, safe, or permissible and cannot support claims about those properties."},{"archetype_element":"Accountable steward and deactivation","domain_realization":"A named research-operations owner governs eligibility, operator training and welfare, fidelity auditing, consent, capacity, incident response, reset, succession, and suspension, with ethics and privacy reviewers holding independent stop authority."}],"mechanism_mapping":[{"mechanism_slug":"interface_contract_design","role":"Defines the behavioral envelope, participant actions, visible responses, timing, fallbacks, operator discretion, protected constraints, and allowable research claims.","counterfactual_removal":"Without the contract, each session depends on negotiation and improvisation, so the foundry cannot reproduce a selected pathway consistently."},{"mechanism_slug":"prevalidated_transformation_template","role":"Provides reusable scenario structure, consent checkpoints, logging, fallback behavior, debrief requirements, and locked safeguards while exposing only hypothesis-specific variables.","counterfactual_removal":"Without the template, every concept must reconstruct the prototype and research-control pathway from zero."},{"mechanism_slug":"workflow_automation_or_macro","role":"Runs deterministic state transitions, timing controls, response delivery, logging, and safe fallbacks at low marginal setup effort.","counterfactual_removal":"Without automation, the operator must manually coordinate every interface transition, increasing per-session labor and variation."},{"mechanism_slug":"embedded_specialist_review_lane","role":"Supplies trained human interpretation only where the declared behavior cannot yet be automated, with triage, workload limits, escalation, rotation, and fidelity review.","counterfactual_removal":"Without the governed lane, unresolved behavior either cannot be tested or is improvised by researchers without controlled capacity and independence."},{"mechanism_slug":"inhibitor_and_poison_screen","role":"Checks scripts, participant inputs, data fixtures, assets, consent, operator readiness, and fallback coverage before they reach a live session.","counterfactual_removal":"Without screening, an unbounded prompt, stale asset, prohibited datum, or fatigued operator can corrupt the session and subsequent evidence."},{"mechanism_slug":"active_site_capacity_dashboard","role":"Displays shell occupancy, operator load, rehearsal failures, response latency, fidelity deviations, fallback use, reset state, and waiting studies.","counterfactual_removal":"Without the dashboard, coordinators may confuse operator degradation with demand saturation and continue scheduling invalid sessions."},{"mechanism_slug":"catalyst_regeneration_protocol","role":"Clears participant state, restores fixtures, seals authorized records, rotates or rests operators, recalibrates timing, refreshes modules, and retires scenarios that cannot regain fidelity.","counterfactual_removal":"Without regeneration, data residue, operator fatigue, and accumulated script drift make successive trials less independent and less faithful."},{"mechanism_slug":"turnover_and_selectivity_assay","role":"Measures in-envelope sessions per facilitator unit and compares preparation, fidelity, participant-visible behavior, deviations, and resource use with a credible coded or manually operated baseline.","counterfactual_removal":"Without the assay, session volume could be mistaken for catalytic leverage despite inconsistent behavior, hidden operator labor, or selection of only trivial hypotheses."},{"mechanism_slug":"small_safe_to_fail_probe","role":"Tests the foundry with a few low-consequence behavior variants, contained data, explicit debriefing, and precommitted fidelity and stop rules.","counterfactual_removal":"Without a bounded probe, ethical, operational, or fidelity failures could spread across studies before reusable barrier reduction is established."}],"causal_chain":["A research team specifies a bounded interaction-behavior hypothesis and the experiential question it is intended to test.","The behavior contract identifies eligible inputs, visible responses, timing, operator discretion, fallbacks, consent, debriefing, and prohibited claims.","The poison screen verifies that the scenario, assets, data, operator state, and privacy controls fit the foundry's operating envelope.","The reusable shell and automation instantiate fixed interface states and deterministic transitions from the prevalidated template.","A trained operator supplies only the unresolved behavior authorized by the contract; ambiguous or out-of-envelope input triggers the declared fallback.","The participant experiences the proposed interaction and generates bounded evidence about comprehension, expectations, control, or response to the behavior.","The researcher receives approved logs with operator deviations and simulation limitations preserved, and the participant receives the promised debrief.","Fidelity, latency, fallback, privacy, operator-load, queue, and downstream-analysis signals update capacity and selectivity records.","Participant state and test fixtures are cleared, the scenario and operator capacity are restored, and degraded modules or scripts are refreshed or retired.","Comparison with coded, static, or ad hoc prototype pathways tests whether the foundry lowers repeated setup burden without changing the research question or overstating what the simulation establishes."],"baseline":"For each behavior hypothesis, the team either builds a bespoke functional prototype, uses a static or clickable mockup that omits unresolved behavior, or has a researcher manually produce responses through an ad hoc hidden channel. The comparison holds the participant task, visible interface, research question, consent boundary, study staffing, and analysis standard constant.","nearest_rivals":["A bespoke coded prototype, which can provide consistent behavior and limited implementation evidence but rebuilds substantial interior logic for each hypothesis.","A static or clickable mockup, which is inexpensive to prepare but cannot faithfully enact adaptive branching, timing, or open participant input.","A general-purpose prototyping platform, which supplies reusable interface components but may still require custom logic and does not itself govern hidden operation, operator capacity, consent, debriefing, or fidelity deviations.","An ad hoc researcher-operated Wizard-of-Oz study, which can simulate missing behavior but lacks a shared interface contract, reusable specialist lane, turnover measurement, reset protocol, and independent stewardship.","A production experiment, which requires an implemented pathway and exposes ordinary users rather than containing an early experiential question."],"remaining_contrastive_claim":"The proposal tests whether a governed, reusable simulation facility can repeatedly convert bounded behavior specifications into controlled human-interaction trials, release qualified experiential evidence, and regenerate for the next hypothesis. Its contrast rests on multi-cycle reuse, declared selectivity, operator governance, fidelity measurement, and reset—not on relabeling an ordinary prototype or treating simulated behavior as proof that the planned system can be built.","authority_safety":{"decision_authority":"The UX research lead and prototype-foundry steward may jointly authorize a bounded study only after required ethics and privacy review. Participants control consent and withdrawal. Researchers retain interpretation authority but may make only the predeclared experiential claims; product and engineering owners retain build and deployment decisions. Ethics and privacy reviewers may stop the foundry independently.","authorized_first_step":"Run at most 12 consented sessions across three behavior variants in a fictional, non-sensitive task-planning interface. Tell participants during consent that some system behavior may be human-assisted, fully debrief them after each session, compare foundry output with a thin coded or controlled manual baseline, and prohibit any real-world decision or production integration.","excluded_actions":["Using the foundry for health, employment, financial, legal, safety-critical, or rights-affecting decisions","Allowing the simulated system to take real actions or access production accounts","Claiming that participant response demonstrates technical feasibility, model accuracy, safety, scalability, or deployment readiness","Unapproved deception, impersonation of a real person, or concealment beyond the reviewed consent protocol","Collecting real credentials, secrets, private communications, or unnecessary sensitive data","Permitting operators to improvise outside the declared behavior envelope","Using operators without workload limits, refusal rights, compensation, rotation, and coverage","Omitting fidelity deviations or the human-assisted nature of the prototype from internal evidence records","Expanding beyond the bounded study without separate authorization"],"halt_rollback":"End the affected session and suspend the scenario if the operator or automation leaves the behavior envelope, participant-specific data appear in another session, prohibited content is requested or disclosed, consent or withdrawal controls fail, the required debrief cannot occur, operator fatigue exceeds the declared limit, or the interface performs a real action. Honor withdrawal and deletion commitments, clear test state, quarantine affected records and modules, revert to the baseline prototype method, and require foundry, ethics, and privacy review before restart."},"negative_tests":{"strongest_counterevidence":"For matched behavior hypotheses, ordinary prototyping tools or controlled ad hoc operation achieve equivalent participant-visible fidelity and evidence quality with equal or less preparation, operator effort, deviation, and governance burden, while the foundry introduces latency cues, constrained behavior, privacy risk, or interpretive overreach.","problem_falsifier":"The research questions primarily concern technical feasibility, performance, safety, or production behavior rather than participant experience, or existing reusable prototype components already instantiate the required behavior without repeated reconstruction; the proposed setup barrier is therefore absent or belongs to engineering.","intervention_falsifier":"The foundry cannot reproduce the declared behavior consistently, requires custom engineering or human improvisation roughly proportional to every hypothesis, produces participant responses materially confounded by simulation artifacts, exceeds consent or privacy stop rules, or cannot reset data and operator capacity between cycles.","risks":["Participants may attribute greater autonomy or capability to the simulated system than the consent and debrief correct.","Operator latency, wording, or judgment may vary across sessions and become an uncontrolled experimental factor.","Researchers may generalize experiential findings into unsupported claims about technical feasibility or production performance.","Behavior templates may constrain hypotheses toward what the foundry can simulate rather than what should be investigated.","Cross-session data residue may expose participant information or influence later responses.","Human operators may experience fatigue, emotional burden, surveillance, or pressure to preserve a preferred study outcome.","Eligibility decisions may make the steward a gatekeeper over which research questions receive rapid testing.","High session throughput may overload analysis and encourage shallow interpretation.","A convincing simulated surface may encourage premature organizational commitment to an infeasible interior.","Automation or operator logs may collect more participant behavior than the research question requires."]},"next_evidence_step":"Before the 12-session probe, preregister the three behavior contracts, participant disclosure and debrief language, matched baseline, fidelity rubric, operator limits, data boundary, allowable claims, and stop rules. Record preparation and rehearsal work, participant-visible state and response fidelity, response latency, operator interventions and deviations, fallback use, participant comprehension of the simulated capability, withdrawal or discomfort, prohibited-data events, cross-session residue checks, operator workload and recovery, reset time, researcher analysis backlog, and whether experiential conclusions differ by prototype pathway. Treat the findings only as evidence about the tested behaviors, shell, operators, participants, and study conditions.","prior_art_status":"UNSEARCHED","diversity_from_prior_proposals":"Proposal 1 converts a retrospective interaction breakdown into a reproducible investigation capsule for product teams. Proposal 2 converts live digital case history at a control-transfer boundary into a verified resumption packet for an operator. Proposal 3 converts a user's functional interaction preferences into confirmed settings for an already-capable application session. Proposal 4 operates earlier in the design lifecycle and converts an unbuilt, bounded behavior hypothesis into a controlled participant-facing research experience through a reusable simulation foundry. Its substrate, recipient, objective, facilitator, evidence type, and causal barrier differ from all three: it neither diagnoses breakdowns, reconstructs operational state, nor configures accommodations, and it is independently adoptable as research infrastructure.","revision_record":{"parent_version":null,"progress_targets_addressed":["A fourth problem centered on pre-implementation behavioral research rather than reporting, work continuity, or accommodation","A reusable human-and-software simulation pathway with explicit turnover, selectivity, regeneration, and operator safeguards","Explicit diversity from sealed proposals 1, 2, and 3","Complete authority, baseline, rival, falsifier, risk, and bounded-evidence specification"],"conceptual_changes":[],"operational_changes":[],"evidence_changes":[],"claim_changes":[]}}