{"schema_version":1,"research_id":"eoa_inverse_innovation_exp06_external_evaluation_20260803","source_assessment_id":"predictive_residual_processing__human_computer_interaction:P1:v0","cell_id":"predictive_residual_processing__human_computer_interaction","search_queries":["screen reader users dynamic web content announcements overload interruptions study accessibility tree speech queue","site:w3.org WAI status messages screen reader dynamic content announced focus WCAG 4.1.3","site:nvaccess.org NVDA speech mode on-demand suppress automatic speech official","command conditioned screen reader predicted interface transitions residual speech research","site:download.nvaccess.org/documentation user guide speech modes on-demand beeps NVDA","site:support.apple.com VoiceOver Utility verbosity announcements mac user guide","screen reader dynamic content user study notification interruptions blind users live regions research","accessibility speech queue screen reader announcements interrupt queue official developer documentation priority","site:bls.gov OEWS software developers May 2025 annual mean wage United States web digital interface designers","site:download.nvaccess.org/documentation/en/userGuide.html speech modes on-demand NVDA 2026","site:w3.org/TR/wai-aria-1.2 aria-live aria-atomic aria-relevant specification","Forough UCI dissertation dynamic content screen reader blind users 2026 notifications study","\"Tailored presentation of dynamic web content for audio browsers\" PDF Brown Jay Harper","site:cs.manchester.ac.uk \"Tailored presentation\" dynamic web audio browsers pdf","doi 10.1016/j.ijhcs.2011.11.001"],"sources":[{"source_id":"S1","title":"Understanding Success Criterion 4.1.3: Status Messages","publisher":"World Wide Web Consortium, Web Accessibility Initiative","url":"https://www.w3.org/WAI/WCAG21/Understanding/status-messages.html","source_class":"OFFICIAL_GUIDANCE","publication_date":"2018-06-05; living guidance accessed in 2026","accessed_at":"2026-08-03","claims_supported":["Blind and low-vision users need programmatically available notification of important content changes that do not take focus.","Notifications should make users aware of changes without unnecessarily interrupting work.","Assistive technology may delay, suppress, or transform status messages according to user preference.","Overuse of live regions can make an application too chatty, and appropriate feedback levels require user testing."]},{"source_id":"S2","title":"When a screen reader needs to announce content","publisher":"U.S. Department of Veterans Affairs, VA.gov Design System","url":"https://design.va.gov/accessibility/when-a-screen-reader-needs-to-announce-content","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2025","accessed_at":"2026-08-03","claims_supported":["VA identifies excessive announcement verbosity and resulting cognitive load as an accessibility problem for product teams.","Screen-reader output is linear, making auditory presentation a serial channel.","Errors, important state changes, dynamic focus changes, and necessary context must remain announced.","VA instructs teams to keep announcements as concise as the experience allows."]},{"source_id":"S3","title":"Tailored presentation of dynamic web content for audio browsers","publisher":"International Journal of Human-Computer Studies, Elsevier; opened via ResearchGate","url":"https://www.researchgate.net/publication/220107479_Tailored_presentation_of_dynamic_web_content_for_audio_browsers","source_class":"PRIMARY_RESEARCH","publication_date":"2012-03","accessed_at":"2026-08-03","claims_supported":["SASWAT detected and classified dynamic page updates and tailored their audio presentation.","Its rules considered how updates were initiated and were evaluated with blind or visually impaired participants.","Participants found tailored updates easier to handle than the comparison presentation.","The work is close prior art for activity-conditioned, update-sensitive screen-reader speech, although it does not document the candidate's versioned predicted-tree residual, reconstruction audit, or automatic full-speech fallback bundle."]},{"source_id":"S4","title":"UIAccessibilitySpeechAttributeQueueAnnouncement","publisher":"Apple Developer Documentation","url":"https://developer.apple.com/documentation/uikit/uiaccessibilityspeechattributequeueannouncement","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","publication_date":"undated","accessed_at":"2026-08-03","claims_supported":["Apple exposes a first-party control determining whether an accessibility announcement is queued behind existing speech or interrupts it.","The platform also exposes announcement-priority concepts, demonstrating technical control over speech ordering."]},{"source_id":"S5","title":"Change VoiceOver Verbosity settings (Announcements tab) in VoiceOver Utility on Mac","publisher":"Apple Support","url":"https://support.apple.com/en-gb/guide/voiceover/cpvouverbann/mac","source_class":"OFFICIAL_PRODUCT_DOCUMENTATION","publication_date":"undated","accessed_at":"2026-08-03","claims_supported":["VoiceOver already gives users event-specific authority over announcement behavior.","For status, progress, and row-count changes, users can select speech, a tone, or no announcement.","This is established adjacent practice in user-controlled event compression, but it is static by event class rather than command-conditioned residual reconstruction."]},{"source_id":"S6","title":"Accessible Rich Internet Applications (WAI-ARIA) 1.2","publisher":"World Wide Web Consortium","url":"https://www.w3.org/TR/wai-aria/","source_class":"STANDARD","publication_date":"2023-06-06","accessed_at":"2026-08-03","claims_supported":["WAI-ARIA defines live-region semantics including aria-live, aria-relevant, aria-atomic, and aria-busy.","Polite updates generally do not interrupt the current task, whereas assertive updates may interrupt and clear queued speech.","Accessibility APIs and DOM events expose changed regions, and user agents must provide state-change notifications to assistive technologies.","The standard supports priority, changed-node versus whole-region presentation, and user control, but not the proposed predictive manifest and residual-audit loop."]},{"source_id":"S7","title":"Automated Accessibility Analysis of Dynamic Content Changes on Mobile Apps","publisher":"University of California, Irvine, Software Engineering and Analysis Lab","url":"https://ics.uci.edu/~seal/projects/timestump/index.html","source_class":"PRIMARY_RESEARCH","publication_date":"2026","accessed_at":"2026-08-03","claims_supported":["Dynamic interface changes create significant obstacles for screen-reader users who inspect content sequentially and may be unaware of changes elsewhere.","The project reports a formative user study and an automated framework for identifying inaccessible dynamic changes.","Detecting time-varying accessibility-state changes is technically plausible, but this source does not validate residual speech suppression."]},{"source_id":"S8","title":"Web Developers and Digital Designers","publisher":"U.S. Bureau of Labor Statistics","url":"https://www.bls.gov/ooh/computer-and-information-technology/web-developers.htm","source_class":"GOVERNMENT_OR_REGULATOR","publication_date":"2025-08-28","accessed_at":"2026-08-03","claims_supported":["The May 2024 median annual wage was $98,090 for web and digital-interface designers and $90,930 for web developers.","Relevant duties include creating, testing, and maintaining applications, interfaces, navigation, usability, and compatibility.","These wage figures provide a conservative labor anchor for broad resource-equivalent estimates, not vendor quotes or a project budget."]}],"problem_evidence":{"support":"MODERATE","rationale":"Official W3C and VA guidance visibly confirms the underlying tension: important dynamic changes must be conveyed without unnecessary interruption, while excessive linear speech creates verbosity and cognitive load. Primary research also documents difficulty presenting dynamic updates and obstacles caused by changes outside sequential screen-reader focus. However, no source directly measures the candidate's narrower condition—routine command consequences delaying or displacing consequential external changes in professional web applications—so prevalence and effect magnitude remain unverified.","source_ids":["S1","S2","S3","S7"]},"stakeholder_evidence":{"support":"MODERATE","rationale":"VA.gov accessibility and application teams are an identifiable adopter class that explicitly seeks concise but complete announcement behavior, while Apple demonstrates that a screen-reader platform owner can authorize user-controlled event verbosity and queue behavior. W3C provides a credible standards and authorizer context. No organization expresses demand for this specific predictive-residual implementation, offers funding, or commits to a trial.","source_ids":["S1","S2","S4","S5","S6"]},"prior_art":{"proximity":"SUBSTANTIAL_COLLISION","closest_analogues":[{"name":"SASWAT tailored presentation of dynamic web updates","similarity":"Detects and classifies dynamic updates and changes their audio presentation based partly on how the update was initiated; evaluated against a comparison presentation with visually impaired users.","remaining_difference":"The opened evidence does not show a pre-observation, command-conditioned accessibility-tree prediction; structured expected-minus-actual residual; model-version handshake; exact reconstruction; independent raw audit; or automatic full-speech fallback.","source_ids":["S3"]},{"name":"WAI-ARIA live-region priority and atomicity","similarity":"Provides standardized changed-region semantics, polite versus assertive priority, queue-interruption behavior, and changed-node versus whole-region presentation.","remaining_difference":"It is author-declared update metadata, not a maintained command-conditioned predictive model or residual-learning loop.","source_ids":["S1","S6"]},{"name":"VoiceOver event-specific verbosity controls","similarity":"Lets the user choose speech, tones, or silence for classes of state changes and therefore already compresses predictable feedback under user authority.","remaining_difference":"The policy is static by event category and does not compare a predicted transition with the actual accessible state or preserve a reconstructible residual.","source_ids":["S5"]},{"name":"Apple accessibility announcement queue controls","similarity":"Supports explicit enqueue-versus-interrupt behavior and announcement priority.","remaining_difference":"It is a transport primitive, not a prediction, residualization, audit, or fallback architecture.","source_ids":["S4"]},{"name":"TimeStump dynamic-change accessibility analysis","similarity":"Models time-varying interface states to detect screen-reader accessibility problems caused by dynamic changes.","remaining_difference":"It is an analysis and defect-detection approach, not an adaptive speech mediator that suppresses predicted command consequences.","source_ids":["S7"]}],"distinctive_claim_remaining":"For one fixed professional web application version and a preregistered set of commands, a version-gated mediator that computes expected-versus-actual accessible-tree residuals can outperform both full ordered announcements and a static class-based priority/verbosity system: reduce routine speech time by at least 25% and the 95th-percentile time-to-hear injected consequential unexpected changes by at least 30%, while fully announcing 100% of protected events, reconstructing at least 99.5% of actual scoped transitions exactly, and causing no more than a 10% relative increase in orientation errors or user-requested full-context replays. Failure on any safety bound, or failure to beat the static-priority comparator on both efficiency endpoints, falsifies the incremental claim.","confidence":"HIGH"},"implementation_evidence":{"support":"MODERATE","rationale":"WAI-ARIA and accessibility APIs provide change semantics; Apple exposes queue, interruption, priority, and user-verbosity controls; and TimeStump demonstrates automated reasoning over dynamic interface changes. These support an offline prototype. Missing evidence includes reliable application manifests, cross-browser accessibility-tree consistency, predictor synchronization under event loss, exact reconstruction rates, latency, privacy engineering for raw traces, and safe integration with a user's existing screen reader. Authority is feasible only through user consent plus screen-reader/application product approval. The first study can avoid legal and safety exposure by remaining offline or supervised, retaining full speech, excluding real commitments, and minimizing trace collection.","source_ids":["S1","S4","S5","S6","S7"]},"scores":{"meaningful_impact":{"score":4,"rationale":"Missing or delayed errors, focus changes, and material state changes can impair orientation and task completion, while verbosity is an officially recognized burden. Magnitude in the proposed professional-app scenario is not quantified.","source_ids":["S1","S2","S7"]},"stakeholder_pull":{"score":3,"rationale":"VA teams and screen-reader vendors have clear responsibility and express the underlying need for balanced, user-controlled announcements, but no party has requested or committed to the candidate.","source_ids":["S2","S4","S5"]},"incremental_advantage":{"score":2,"rationale":"Command-conditioned residuals may improve timing beyond full speech and static priority rules, but SASWAT already tailored update presentation by initiation and characteristics, and no comparative outcome evidence supports the proposed increment.","source_ids":["S3","S5","S6"]},"distinctiveness_plausibility":{"score":3,"rationale":"The integrated versioned prediction, structured residual, reconstruction audit, and automatic fallback package remains distinguishable in the searched sources, but its speech-tailoring core substantially collides with established research and platform practices.","source_ids":["S3","S4","S5","S6"]},"technical_implementability":{"score":3,"rationale":"Required event, semantic, and speech-queue primitives exist, and dynamic-state analysis has research precedent. Reliable prediction, synchronization, and reconstruction across real application and assistive-technology stacks remain untested.","source_ids":["S4","S6","S7"]},"adoption_authority_feasibility":{"score":3,"rationale":"Users, screen-reader product owners, and application accessibility teams are identifiable authorities. Deployment would require coordination across them and must not let the application unilaterally suppress rights-bearing output.","source_ids":["S1","S2","S5"]},"evidence_readiness":{"score":3,"rationale":"A single-version replay and supervised study is readily specifiable with logged commands, tree transitions, speech, and injected failures. Suitable proprietary traces, participants, and product integration are not yet secured.","source_ids":["S3","S7"]},"safety_net_benefit":{"score":4,"rationale":"Full-speech fallback, protected-event bypass, user replay, version gating, and raw audit could materially limit harm if independently tested. They are proposed controls rather than validated safeguards.","source_ids":["S1","S2","S5","S6"]},"scalability":{"score":2,"rationale":"The architecture could run locally, but application-specific manifests, version churn, browser/screen-reader variation, governance review, and raw-audit maintenance are likely to scale poorly without standardized transition contracts.","source_ids":["S6","S7"]}},"score_confidence":"MODERATE","costs":{"first_evidence":{"band_2026_usd":"50K_TO_250K","scope":"One fixed application version; offline prototype plus a supervised, consented within-subject study with 12–18 screen-reader users, scripted failure injections, manual protected-event audit, and analysis.","confidence":"MODERATE","assumptions":["Approximately 0.5–1.0 combined engineer/researcher FTE-year.","Includes participant compensation, accessibility consulting, study operations, and contingency.","Uses an existing application and screen reader rather than modifying a production speech engine.","BLS wages are base-pay anchors; estimates add benefits, overhead, specialist premiums, and research operations."],"source_ids":["S8"]},"initial_deployment_startup":{"band_2026_usd":"250K_TO_1M","scope":"Product-quality mediator for one screen reader and one professional application, including manifest tooling, logging, privacy controls, synchronization, fallback testing, and accessibility governance.","confidence":"LOW","assumptions":["Roughly 2–5 multidisciplinary FTE-years across accessibility engineering, application integration, user research, security/privacy, and QA.","No new operating-system accessibility API is required.","Excludes broad multi-vendor standardization and production support."],"source_ids":["S4","S6","S8"]},"operational_launch":{"band_2026_usd":"1M_TO_5M","scope":"Supported launch across several application workflows and major browser/screen-reader combinations, with independent audits, incident response, documentation, training, and staged rollout.","confidence":"LOW","assumptions":["Roughly 8–20 multidisciplinary FTE-years plus participant and external-audit costs.","Every protected category and fallback is tested on each supported stack.","Application vendors cooperate on manifests and version notices.","No estimate is made for litigation, patent licensing, or major platform API changes."],"source_ids":["S6","S8"]},"annual_recurring":{"band_2026_usd":"1M_TO_5M","scope":"Manifest and compatibility maintenance, model review, accessibility support, privacy operations, raw-audit sampling, regression testing, and incident response across the launched scope.","confidence":"LOW","assumptions":["Approximately 6–15 ongoing engineering, accessibility, research, governance, and support FTE equivalents.","Application and browser version churn requires continuous regression testing.","Participant advisory and independent audit programs continue annually.","The range is resource-equivalent, not a vendor quotation."],"source_ids":["S6","S8"]}},"verified_pipeline_gates":{"externally_supported_problem":{"status":"YES","reason":"Independent official guidance and primary research confirm both dynamic-change accessibility obstacles and the need to avoid excessive, interruptive screen-reader output; only the candidate's narrow prevalence remains unknown.","source_ids":["S1","S2","S3","S7"]},"externally_credible_adopter_or_authorizer":{"status":"YES","reason":"VA.gov accessibility/product teams are identifiable potential adopters, and screen-reader platform owners such as Apple demonstrably control event verbosity and speech queuing. Specific commitment is absent but credibility and authority are externally established.","source_ids":["S2","S4","S5"]},"distinct_testable_incremental_claim":{"status":"YES","reason":"The residual mediator can be compared against full announcements and a static priority/verbosity implementation using preregistered speech-time, delay, reconstruction, protected-event, orientation, and replay endpoints.","source_ids":["S3","S4","S5","S6"]},"bounded_next_evidence_step":{"status":"YES","reason":"A one-application, one-version, 12–18 participant supervised experiment with scripted transitions and two comparators is finite, consentable, and capable of falsifying the claim without deployment as the sole accessibility channel.","source_ids":["S1","S3","S7"]},"no_unresolved_safety_or_authority_stop":{"status":"YES","reason":"No stop blocks an offline or supervised study if full speech remains available, real commitments are excluded, participants control replay and withdrawal, protected events bypass suppression, and privacy retention is approved. Production deployment is not authorized by this finding.","source_ids":["S1","S2","S5"]},"credible_cost_scope_and_range":{"status":"YES","reason":"The four ranges state concrete scope and FTE assumptions and use government wage data as a conservative labor anchor. Confidence is low beyond first evidence because no vendor quotes or integration measurements exist.","source_ids":["S8"]}},"next_evidence_step":"With a VA.gov or comparable professional-application accessibility team and a blind-user advisory partner, preregister one supervised within-subject study involving 12–18 experienced screen-reader users, one frozen application version, six representative tasks, and no real purchases, submissions, permission grants, or other commitments. Randomize three modes on identical scripted states: (A) full ordered announcements, (B) static class-based priority/verbosity using WAI-ARIA-like polite/assertive and atomic rules, and (C) command-conditioned residual speech. Inject a version mismatch, missing heartbeat, unexpected focus move, validation error, concurrent external edit, permission change, and destructive-action warning. Measure routine speech seconds, median and 95th-percentile time-to-hear each consequential change, protected-event completeness, exact scoped-tree reconstruction, orientation errors, repeated actions, full-context requests, fallback frequency, preference, and model-maintenance time. Independently inspect every protected event and a random sample of suppressed transitions. Falsify the incremental claim if mode C misses or abbreviates any protected event, reconstructs less than 99.5% exactly, fails to improve both efficiency endpoints over mode B by the preregistered margins, increases orientation errors or full-context requests by more than 10% relative to mode A, or requires enough maintenance/fallback operation to erase its speech-time benefit.","blocking_evidence":["No independent dataset establishes how often routine command consequences delay or displace consequential announcements in dynamic professional web applications.","No blind-user field evidence shows that predictable full acknowledgements can be shortened without harming orientation, confidence, or error recovery.","No adopter, screen-reader vendor, or funder has committed personnel, data, product access, or funding.","No prototype evidence establishes command-conditioned prediction accuracy, exact reconstruction, latency, or robustness to accessibility-event loss and version skew.","Cross-browser, cross-screen-reader, multilingual, braille-channel, and atypical workflow behavior is untested.","Protected-event definitions and subgroup or minority-interaction recall have not been validated with affected users.","Privacy, retention, consent, and organizational authority for raw interaction traces require application-specific review.","Cost ranges lack vendor quotations and measured integration or maintenance effort.","World novelty, patentability, freedom to operate, market size, and realized impact remain unmeasured."],"research_disposition":"PARTNERED_RESEARCH_PROGRAM","world_novelty_boundary":"This was a bounded open-web evaluation, not an exhaustive literature, product, code, standards-history, or patent search. It found substantial collision with SASWAT-style activity-conditioned update presentation and established live-region, queue-priority, and event-verbosity practices, while not finding the complete versioned command-prediction, reconstructible accessible-tree residual, independent raw-audit, and automatic fallback bundle. That remaining contrast supports a testable research claim only; world novelty, patentability, freedom to operate, market size, and realized impact are explicitly unmeasured.","arm":"COMPLETE_PROPOSAL_PORTFOLIO","candidate_version":0,"controller_recommendation":{"action":"STOP_EMPIRICAL_RESEARCH_NEEDED","repairable":false,"material_progress_observed":true,"progress_targets":["Secure a named application accessibility partner and blind-user advisory partner with authority to provide a frozen test workflow and consented study access.","Measure baseline prevalence and queue-delay severity from consented or scripted full-announcement traces before tuning the predictor.","Implement the offline mediator and static-priority comparator with identical protected-event rules and immutable full-event logging.","Preregister efficiency, reconstruction, orientation, replay, safety, privacy, and maintenance thresholds before examining comparative results.","Complete independent protected-event and random-suppression audits, including injected version mismatch and heartbeat loss.","Run the bounded supervised within-subject study and publish all endpoint results, fallbacks, exclusions, and falsification outcomes."],"reason":"Web evidence verifies the broad problem, credible authorities, enabling primitives, and close prior art, but it cannot determine whether command-conditioned suppression preserves orientation and protected-event completeness or produces an advantage over static priority rules. The decisive evidence requires consented traces, a working prototype, independent audit, and live supervised testing with screen-reader users; therefore the evaluation must stop for empirical research rather than continue with bounded web research."},"proposal_index":1}