Published October 7, 2025 | Version v1.0.1
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Supplemental Material for "AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work"

Authors/Creators

  • 1. EDMO icon Oregon State University

Description

1. Survey instrument.pdf: Survey flow, structure, and questionnaire. Definitions of the RAI principles appear at the end.

2. Respondent_Demographics.xlsx: Summary statistics for N = 860 software developers who participated in the study.

3. Codebook.xlsx: Themes, definitions, and example quotes describing where developers seek or limit AI support across task clusters, as well as their RAI priorities.

4. RQ1–regression_stats.xlsx: Mixed-effects regression results (RQ1) for the full sample, with stratified analyses by risk tolerance and technophilia.

5. z_scores_CI.xlsx: Standardized z-scores and confidence intervals for appraisal dimensions, openness to AI support, and AI usage for each task.

6. RQ1–clustering_plots.pdf: Clustering summary with silhouette and dendrogram plots for hierarchical agglomerative clustering (Ward’s linkage).

7. RQ2–glmm-stats.xlsx: Generalized Logistic linear mixed-model (GLMM) results predicting the odds of selecting each RAI principle (RQ2), with confidence intervals.

Files

1.Survey instrument.pdf

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