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Ludzie w moim wieku i w mojej okolicy potrzebują żywego człowieka do pomocy, a nie obcej maszyny.","confidence":0.9,"model":"google/gemini-3.1-flash-lite","personaId":"p1:65+|female|urban|higher:15fvudr","personaLabel":"65 lat lub więcej, kobieta, miasto, wykształcenie wyższe"},{"subquestionId":"humanoid_robots_in_homes","position":"30%","rationale":"Na świecie znajdą się firmy i zamożni klienci gotowi kupić pierwsze modele, ale 100 tys. domów to już sporo jak na sprzęt drogi, zawodny i wymagający nadzoru.","confidence":0.72,"model":"openai/gpt-6-luna","personaId":"p1:45-54|female|urban|secondary_vocational:1x14lk2","personaLabel":"45–54 lata, kobieta, miasto, wykształcenie średnie zawodowe lub policealne"},{"subquestionId":"hardware_cost_threshold","position":"15 tys. 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Cena jest drugą barierą, bo nikt nie wyda oszczędności życia na gadżet, który może być niebezpieczny.","confidence":0.9,"model":"google/gemini-3.1-flash-lite","personaId":"p1:25-34|female|urban|higher:1juhiif","personaLabel":"25–34 lata, kobieta, miasto, wykształcenie wyższe"},{"subquestionId":"main_adoption_barrier","position":"Brak realnej potrzeby konsumentów","option":"Brak realnej potrzeby konsumentów","rationale":"Ludzie nie potrzebują metalowego lokaja, potrzebują drugiego człowieka, ale tego technologia nie zastąpi. Reszta barier jest drugorzędna wobec braku sensu posiadania takiego urządzenia.","confidence":0.9,"model":"google/gemini-3.1-flash-lite","personaId":"p1:65+|female|urban|secondary_vocational:eay5mc","personaLabel":"65 lat lub więcej, kobieta, miasto, wykształcenie średnie zawodowe lub policealne"},{"subquestionId":"dexterity_and_safety_feasibility","position":"1/5","option":"1","rationale":"Maszyna nigdy nie zastąpi ludzkiej ręki ani ostrożności, zwłaszcza w kuchni, gdzie łatwo o wypadek.","confidence":0.9,"model":"google/gemini-3.1-flash-lite","personaId":"p1:65+|female|urban|higher:15fvudr","personaLabel":"65 lat lub więcej, kobieta, miasto, wykształcenie wyższe"},{"subquestionId":"dexterity_and_safety_feasibility","position":"1/5","option":"1","rationale":"Dom to nie sterylne laboratorium. Robot musiałby nie tylko sprzątać, ale i uważać na meble oraz domowników, a w to nie wierzę.","confidence":0.9,"model":"google/gemini-3.1-flash-lite","personaId":"p1:65+|female|rural|higher:141cnlf","personaLabel":"65 lat lub więcej, kobieta, wieś, wykształcenie wyższe"},{"subquestionId":"dominant_form_factor","position":"Brak istotnego rozwoju poza obecne AGD","option":"Brak istotnego rozwoju poza obecne AGD","rationale":"Wszystko, co już mamy w domach, w zupełności wystarczy, nie ma sensu komplikować sobie życia nowinkami.","confidence":0.8,"model":"google/gemini-3.1-flash-lite","personaId":"p1:65+|female|urban|higher:15fvudr","personaLabel":"65 lat lub więcej, kobieta, miasto, wykształcenie wyższe"},{"subquestionId":"dominant_form_factor","position":"Roboty na kołach z ramionami chwytnymi","option":"Roboty na kołach z ramionami chwytnymi","rationale":"Koła są bardziej efektywne i stabilne niż nogi, co lepiej wpisuje się w moje zamiłowanie do porządku i przewidywalności rozwiązań technicznych.","confidence":0.8,"model":"google/gemini-3.1-flash-lite","personaId":"p1:55-64|male|urban|secondary_vocational:15rxbxc","personaLabel":"55–64 lata, mężczyzna, miasto, wykształcenie średnie zawodowe lub policealne"}],"audience":{"id":"pl-national","kind":"population","label":"Polska — ogół dorosłych","teryt":"00","frameVersion":"pl-2026-09","frameFetchedAt":"2026-09-14T08:13:16.741Z","attribution":"Dane: Główny Urząd Statystyczny, Bank Danych Lokalnych (bdl.stat.gov.pl), licencja CC BY 4.0","n":50,"nEff":46.26921306583565,"deff":1.08063216741672,"marginOfError":0.14406949665694505,"regions":[{"teryt":"02","name":"dolnośląskie","n":4,"nEff":3.761351040745457},{"teryt":"04","name":"kujawsko-pomorskie","n":3,"nEff":2.8128078651535304},{"teryt":"06","name":"lubelskie","n":3,"nEff":2.9354328024824037},{"teryt":"08","name":"lubuskie","n":1,"nEff":1},{"teryt":"10","name":"łódzkie","n":3,"nEff":2.9703614377974117},{"teryt":"12","name":"małopolskie","n":4,"nEff":3.879849515169111},{"teryt":"14","name":"mazowieckie","n":7,"nEff":6.610263107639899},{"teryt":"16","name":"opolskie","n":1,"nEff":1},{"teryt":"18","name":"podkarpackie","n":3,"nEff":2.676242385918146},{"teryt":"20","name":"podlaskie","n":1,"nEff":1},{"teryt":"22","name":"pomorskie","n":3,"nEff":2.6470854957468717},{"teryt":"24","name":"śląskie","n":6,"nEff":5.461383995265825},{"teryt":"26","name":"świętokrzyskie","n":2,"nEff":1.954326469213694},{"teryt":"28","name":"warmińsko-mazurskie","n":2,"nEff":1.9650290521907423},{"teryt":"30","name":"wielkopolskie","n":5,"nEff":4.767105111904873},{"teryt":"32","name":"zachodniopomorskie","n":2,"nEff":1.9568851284933304}]},"calibration":{"fixture":"pl-calibration-2023-sejm","frame":"pl-2026-09","measuredAt":"2026-09-24","n":2000,"seed":"turnout-final","language":"pl","panel":"persona P1; modele: google/gemini-3.1-flash-lite, google/gemini-3.5-flash-lite, openai/gpt-6-luna","maePp":11.77,"baselineMaePp":14.09,"betterOnItems":15,"worseOnItems":23,"tiedItems":0,"comparableItems":38,"directionAgreement":1,"directionContrasts":8,"directionBaseline":0,"declaredTurnout":0.869,"byFamily":{"głos":{"items":17,"maePp":12.09,"baselineMaePp":14.45,"betterOnItems":11},"frekwencja":{"items":17,"maePp":14.17,"baselineMaePp":11.02,"betterOnItems":0},"samoopis":{"items":4,"maePp":0.16,"baselineMaePp":25.59,"betterOnItems":4}},"claim":"panel-simulation","sources":["PKW, oficjalne wyniki wyborów do Sejmu 2023 (głosy oddane w Polsce)","Operat GUS/BDL, licencja CC BY 4.0"],"caveat":"To jest symulacja panelu, a nie szacunek opinii publicznej. 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Na 37 pytaniach o poglądy z sondaży CBOS z lat 2025–2026 średni błąd panelu wynosi 19,9 punktu procentowego wobec 21,8 pp panelu eksperckiego i 11,4 pp samego modelu zapytanego wprost; panel był bliżej wyniku sondażu w 17 z 37 pytań."},"evidence":null,"webSentiment":null,"composition":{"basis":"gus","claim":"panel-simulation","label":"dorośli mieszkańcy Polski","labelAcc":"dorosłych mieszkańców Polski","region":{"teryt":"00","name":"Polska"},"spec":null,"axes":[{"axis":"sex","label":"Płeć","levels":[{"level":"female","label":"kobiety","share":0.5236427000000001,"n":29},{"level":"male","label":"mężczyźni","share":0.47635730000000004,"n":21}]},{"axis":"age","label":"Wiek","levels":[{"level":"18-34","label":"18–34 lata","share":0.22259462,"n":9},{"level":"35-54","label":"35–54 lata","share":0.37893072,"n":19},{"level":"55+","label":"55 lat i więcej","share":0.39847466000000004,"n":22}]},{"axis":"settlement","label":"Miejsce 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przez panel cena 25 tysięcy dolarów za najprostszy model stanowi barierę utrudniającą powszechne korzystanie z takich maszyn w domach."},{"subquestionId":"main_adoption_barrier","direction":"supports","text":"Wysoką cenę zakupu wskazuje jako główną przeszkodę 56% rozmówców, co ogranicza perspektywy powszechnego wdrożenia."},{"subquestionId":"dexterity_and_safety_feasibility","direction":"supports","text":"Ocena wystarczającej precyzji i bezpieczeństwa wynosi 2 na 5, co oddala wizję samodzielnych robotów domowych."},{"subquestionId":"dominant_form_factor","direction":"supports","text":"Ponieważ 97% rozmówców stawia na wyspecjalizowane urządzenia jednozadaniowe, maszyny humanoidalne nie będą dominować w domowej automatyzacji."}],"highlights":[{"emoji":"🤖","text":"Rozmówcy oceniają szanse na wejście humanoidów do domów na 15%.","subquestionId":"humanoid_robots_in_homes"},{"emoji":"⚠️","text":"Ocena bezpieczeństwa i zwinności robotów wyniosła zaledwie 2 na 5.","subquestionId":"dexterity_and_safety_feasibility"},{"emoji":"🧹","text":"Aż 97% rozmówców stawia na wyspecjalizowane roboty jednozadaniowe.","subquestionId":"dominant_form_factor"}]}