3 citations · 10 across the 12 of their papers we have counts for
4 papers · 1 filter
AI Where It Matters: Where, Why, and How Developers Want AI Support in Daily Work
Rudrajit Choudhuri, Carmen Badea, Christian Bird +3
Generative AI is reshaping software work, yet we lack clear guidance on where developers most need support and how to design it responsibly. We report a large-scale, mixed-methods…
"Maybe We Need Some More Examples:" Individual and Team Drivers of Developer GenAI Tool Use
Courtney Miller, Rudrajit Choudhuri, Mara Ulloa +6
Despite the widespread availability of generative AI tools in software engineering, developer adoption remains uneven. This unevenness is problematic because it hampers productivit…
What Needs Attention? Prioritizing Drivers of Developers' Trust and Adoption of Generative AI
Rudrajit Choudhuri, Bianca Trinkenreich, Rahul Pandita +5
Generative AI (genAI) tools promise productivity gains, yet miscalibrated trust and usage friction still hinder adoption. Moreover, genAI can be exclusionary, failing to adequately…
Measuring SES-related traits relating to technology usage: Two validated surveys
Chimdi Chikezie, Pannapat Chenpaiseng, Puja Agarwal +9
Software producers are now recognizing the importance of improving their products' suitability for diverse populations, but little attention has been given to measurements to shed…