BeltramaSchwarz2024: experimental results (generated) #
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Two experiments on American English round numerals, with the speaker described as Nerdy, as Chill, or not at all (between subjects), crossed with Screen Fit (within subjects): the number on a visible phone screen matched the uttered one, diverged from it largely, or diverged slightly (Imprecise). Experiment 1 (Covered Screen) asked which phone the speaker was looking at, a covered choice rejecting the visible one; Experiment 2 (Truth Value Judgment) showed the screen the speaker looked at and asked whether the answer was right. Rejection is a covered choice or a wrong judgment.
References #
The task of an experiment.
- coveredScreen : Task
Covered Screen: Experiment 1: choose the phone the speaker was looking at, a covered choice rejecting the visible screen
- truthValueJudgment : Task
Truth Value Judgment: Experiment 2: judge the speaker's answer right or wrong given the visible screen
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- BeltramaSchwarz2024.instDecidableEqTask x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instReprTask = { reprPrec := BeltramaSchwarz2024.instReprTask.repr }
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The stereotype the interlocutors are described as; the No.Persona baseline describes none.
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- BeltramaSchwarz2024.instDecidableEqPersona x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instReprPersona = { reprPrec := BeltramaSchwarz2024.instReprPersona.repr }
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- BeltramaSchwarz2024.instDecidableEqScreenFit x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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Screen Fit recoded as a binary factor for the analyses.
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- BeltramaSchwarz2024.instDecidableEqFit x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instReprFit = { reprPrec := BeltramaSchwarz2024.instReprFit.repr }
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- BeltramaSchwarz2024.instDecidableEqRange x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instReprRange = { reprPrec := BeltramaSchwarz2024.instReprRange.repr }
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A trait a persona is introduced with.
- studious : Descriptor
studious: studious
- articulate : Descriptor
articulate: articulate
- introverted : Descriptor
introverted: introverted
- uptight : Descriptor
uptight: uptight
- laidBack : Descriptor
laid-back: laid-back
- sociable : Descriptor
sociable: sociable
- extroverted : Descriptor
extroverted: extroverted
- careFree : Descriptor
care-free: care-free
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- BeltramaSchwarz2024.instDecidableEqDescriptor x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instDecidableEqVerdict x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instReprVerdict = { reprPrec := BeltramaSchwarz2024.instReprVerdict.repr }
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A regression the paper reports.
- main : Model
Persona × Screen Fit: Persona (reference No.Persona) and binary Screen Fit, all trials
- similarity : Model
Persona × Gender × Similarity: Persona and Speaker Gender sum coded and rescaled Similarity, Imprecise trials
- similarityNerdy : Model
Similarity, Nerdy reference: the similarity model with Persona treatment coded, Nerdy as reference
- similarityChill : Model
Similarity, Chill reference: the similarity model with Persona treatment coded, Chill as reference
- combined : Model
Persona × Task: both experiments' Imprecise trials, Task sum coded
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- BeltramaSchwarz2024.instDecidableEqModel x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instReprModel = { reprPrec := BeltramaSchwarz2024.instReprModel.repr }
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A coefficient of a model.
- chill : Term
Chill: Chill against No.Persona
- nerdy : Term
Nerdy: Nerdy against No.Persona
- chillScreenFit : Term
Chill × Screen Fit: its interaction with Screen Fit
- nerdyScreenFit : Term
Nerdy × Screen Fit: its interaction with Screen Fit
- screenFit : Term
Screen Fit: Screen Fit
- persona : Term
Persona: Persona
- similarity : Term
Similarity: Similarity
- gender : Term
Speaker Gender: Speaker Gender
- personaSimilarity : Term
Persona × Similarity: interaction
- personaGender : Term
Persona × Speaker Gender: interaction
- genderSimilarity : Term
Speaker Gender × Similarity: interaction
- personaGenderSimilarity : Term
Persona × Speaker Gender × Similarity: interaction
- nerdyTask : Term
Nerdy × Task: interaction
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- BeltramaSchwarz2024.instDecidableEqTerm x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instReprTerm = { reprPrec := BeltramaSchwarz2024.instReprTerm.repr }
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How a p-value is printed.
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- BeltramaSchwarz2024.instDecidableEqBound x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instReprBound = { reprPrec := BeltramaSchwarz2024.instReprBound.repr }
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Experimental items, each in nine Persona × Screen Fit versions. (§4.2, p. 9; checked against the page images.)
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Filler dialogues. (§4.2, p. 10; checked against the PDF text layer only.)
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Imprecise trials per participant, against six Match and six Mismatch. (§4.2, p. 10; checked against the PDF text layer only.)
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The amount of the utterance of Figure 1, in dollars. (Figure 1, p. 8; checked against the page images.)
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The least deviation of an Imprecise screen, in percent of the count unit. (§4.1, p. 9; checked against the page images.)
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The greatest deviation of an Imprecise screen, in percent of the count unit. (§4.1, p. 9; checked against the page images.)
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The count unit of the dollar amounts the band is relative to. (§4.1, p. 9; checked against the page images.)
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A row of §4.4, p. 11 (Experiment 1); §5.2, p. 17 (Experiment 2): the participants of an experiment, recruited on Prolific.
- recruited : ℕ
Recruited.
- ageMedian : ℕ
Median age.
- female : ℕ
Female.
- male : ℕ
Male.
- other : ℕ
Other.
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The cells of §4.4, p. 11 (Experiment 1); §5.2, p. 17 (Experiment 2), by task; checked against the page images.
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- BeltramaSchwarz2024.participants BeltramaSchwarz2024.Task.coveredScreen = { recruited := 282, ageMedian := 33, female := 166, male := 114, other := 2 }
- BeltramaSchwarz2024.participants BeltramaSchwarz2024.Task.truthValueJudgment = { recruited := 244, ageMedian := 33, female := 135, male := 102, other := 7 }
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A row of §4.1, p. 8: the traits participants were told a persona describes.
- traits : List Descriptor
The traits.
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- BeltramaSchwarz2024.instDecidableEqDescriptors.decEq { traits := a } { traits := b } = if h : a = b then h ▸ isTrue ⋯ else isFalse ⋯
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The cells of §4.1, p. 8, by persona; checked against the page images.
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A row of Figure 1, p. 8: the visible screen of each Screen Fit level for the utterance "The price is $200".
- displayed : Data.Experiments.Decimal
The amount on the visible screen, in dollars.
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- BeltramaSchwarz2024.instDecidableEqScreen.decEq { displayed := a } { displayed := b } = if h : a = b then h ▸ isTrue ⋯ else isFalse ⋯
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- BeltramaSchwarz2024.instReprScreen = { reprPrec := BeltramaSchwarz2024.instReprScreen.repr }
The cells of Figure 1, p. 8, by screenFit; checked against the page images.
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- BeltramaSchwarz2024.screens BeltramaSchwarz2024.ScreenFit.match = { displayed := { mantissa := 20000, exponent := 2 } }
- BeltramaSchwarz2024.screens BeltramaSchwarz2024.ScreenFit.mismatch = { displayed := { mantissa := 65006, exponent := 2 } }
- BeltramaSchwarz2024.screens BeltramaSchwarz2024.ScreenFit.imprecise = { displayed := { mantissa := 20706, exponent := 2 } }
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A row of §2, p. 5: the ranges of values the paper offers as interpretations of "The ticket costs $200".
- lower : ℕ
Its least value, in dollars.
- upper : ℕ
Its greatest value, in dollars.
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- BeltramaSchwarz2024.instDecidableEqRangeRow.decEq { lower := a, upper := a_1 } { lower := b, upper := b_1 } = if h : a = b then h ▸ if h : a_1 = b_1 then h ▸ isTrue ⋯ else isFalse ⋯ else isFalse ⋯
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The cells of §2, p. 5, by range; checked against the page images.
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- BeltramaSchwarz2024.ranges BeltramaSchwarz2024.Range.exact = { lower := 200, upper := 200 }
- BeltramaSchwarz2024.ranges BeltramaSchwarz2024.Range.narrow = { lower := 195, upper := 205 }
- BeltramaSchwarz2024.ranges BeltramaSchwarz2024.Range.wide = { lower := 190, upper := 210 }
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A row of §4.5, p. 12; §5.3, p. 17; §6, p. 20; §7, p. 21: the paper's reading of the rejection rate in the Imprecise condition with a persona against the No.Persona baseline.
- verdict : Verdict
The paper's reading of its rejection rate against No.Persona.
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- BeltramaSchwarz2024.instDecidableEqVerdictRow.decEq { verdict := a } { verdict := b } = if h : a = b then h ▸ isTrue ⋯ else isFalse ⋯
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The cells of §4.5, p. 12; §5.3, p. 17; §6, p. 20; §7, p. 21, by task and persona; checked against the page images.
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- BeltramaSchwarz2024.verdicts BeltramaSchwarz2024.Task.coveredScreen BeltramaSchwarz2024.Persona.nerdy = { verdict := BeltramaSchwarz2024.Verdict.higher }
- BeltramaSchwarz2024.verdicts BeltramaSchwarz2024.Task.coveredScreen BeltramaSchwarz2024.Persona.chill = { verdict := BeltramaSchwarz2024.Verdict.lower }
- BeltramaSchwarz2024.verdicts BeltramaSchwarz2024.Task.truthValueJudgment BeltramaSchwarz2024.Persona.nerdy = { verdict := BeltramaSchwarz2024.Verdict.noDifference }
- BeltramaSchwarz2024.verdicts BeltramaSchwarz2024.Task.truthValueJudgment BeltramaSchwarz2024.Persona.chill = { verdict := BeltramaSchwarz2024.Verdict.lower }
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A row of §4.5, pp. 12–13; §5.3, p. 17; §6, p. 20: a contrast of rejection rates between a persona and No.Persona, extracted with emmeans.
- task : Task
The task.
- fit : Fit
The recoded Screen Fit.
- persona : Persona
The persona compared with No.Persona.
The standard error.
The z statistic, unsigned as printed.
- bound : Bound
How the p-value is printed.
The p-value.
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The 8 rows of §4.5, pp. 12–13; §5.3, p. 17; §6, p. 20, in the paper's order; checked against the page images.
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A row of §6, pp. 20–21: a contrast of Imprecise rejection rates between the two tasks within a persona condition.
- persona : Option Persona
The persona condition, none for No.Persona.
- verdict : Verdict
The paper's reading of the Truth Value Judgment rejection rate against the Covered Screen one.
The standard error.
The z statistic.
- bound : Bound
How the p-value is printed.
The p-value.
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The 3 rows of §6, pp. 20–21, in the paper's order; checked against the page images.
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A row of §4.5, pp. 12–15; §5.3, pp. 17–19; §6, p. 20: a coefficient of a mixed-effects logistic regression on rejections, covered choices in Experiment 1 and wrong judgments in Experiment 2.
- task : Task
The experiment, Truth Value Judgment for the combined analysis.
- model : Model
The model.
- term : Term
The coefficient.
- beta : Data.Experiments.Decimal
Its estimate.
The standard error.
The z statistic, unsigned as printed.
- bound : Bound
How the p-value is printed.
The p-value.
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The 26 rows of §4.5, pp. 12–15; §5.3, pp. 17–19; §6, p. 20, in the paper's order; checked against the page images.
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