activity
20232026
most citedWhat Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAI

3 citations · 10 across the 12 of their papers we have counts for

collaborators

15 papers

cs.HC2026

Vibe-GUIDE: A Graph-based User Interface in IDEs for Oversight in Vibe Coding

Chifang Chou, Sam Yu-Te Lee, Rudrajit Choudhuri +1

In agentic coding, developers shift from implementing changes themselves to specifying intent, evaluating the agent's work, and making approval decisions. However, delegating imple…

cs.HC2026

Apply-<x>Mag: One Tool to Support Many Inclusive Design Methods

Sadia Afroz, Rudrajit Choudhuri, Fatima A. Moussaoui +3

Doing inclusive design in HCI practice can be labor-intensive, a costly barrier that some companies and HCI practitioners may be unwilling or unable to overcome. Yet, not doing inc…

cs.HC2026

What Makes a Great Co-Worker in an AI-Native Workplace?

Rudrajit Choudhuri, Max Meijer, Sam Yu-Te Lee +6

As knowledge work grows interdependent between humans and AI, we ask what makes a great co-worker in an AI-native workplace. To answer this, we conducted 22 interviews and a large-…

cs.SE2026

When AI Joins the Team! A Model of How AI Adoption Relates To Social Patterns in Software Engineering Teams

Giusy Annunziata, Rudrajit Choudhuri, Anita Sarma +2

Context: The growing adoption of AI-assisted development tools is changing how software teams collaborate, share knowledge, and coordinate, yet its consequences for team social dyn…

cs.HC2026

You Shall Not Pass! Where and Why Developers Draw The Line on AI Autonomy

Rudrajit Choudhuri, Christian Bird, Carmen Badea +2

As AI takes on more software work, the line between human and AI effort is shifting. Where developers draw that line around AI autonomy bears on how we design tools and roles that…

cs.SE2026

To Copilot and Beyond: 22 AI Systems Developers Want Built

Rudrajit Choudhuri, Christian Bird, Carmen Badea +1

Developers spend roughly one-tenth of their workday writing code, yet most AI tooling targets that fraction. This paper asks what should be built for the rest. We surveyed 860 Micr…

cs.HC2026★ 1 cited

Thinking Less, Trusting More: GenAI's Impacts on Students' Cognitive Habits

Rudrajit Choudhuri, Christopher Sanchez, Margaret Burnett +1

Objectives: When students use generative AI in coursework, what are its persistent effects on their intellectual development? We investigate (RQ1-How) how students' trust in and ro…

cs.SE2025

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…

cs.SE2025★ 1 cited

"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…

cs.HC2025

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…

cs.HC2025

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…

cs.HC2024★ 2 cited

Insights from the Frontline: GenAI Utilization Among Software Engineering Students

Rudrajit Choudhuri, Ambareesh Ramakrishnan, Amreeta Chatterjee +4

Generative AI (genAI) tools (e.g., ChatGPT, Copilot) have become ubiquitous in software engineering (SE). As SE educators, it behooves us to understand the consequences of genAI us…

cs.SE2024

Investigating the Impact of Interpersonal Challenges on Feeling Welcome in OSS

Bianca Trinkenreich, Zixuan Feng, Rudrajit Choudhuri +3

The sustainability of open source software (OSS) projects hinges on contributor retention. Interpersonal challenges can inhibit a feeling of welcomeness among contributors, particu…

cs.HC2024★ 3 cited

What Guides Our Choices? Modeling Developers' Trust and Behavioral Intentions Towards GenAI

Rudrajit Choudhuri, Bianca Trinkenreich, Rahul Pandita +5

Generative AI (genAI) tools, such as ChatGPT or Copilot, are advertised to improve developer productivity and are being integrated into software development. However, misaligned tr…

cs.SE2023★ 3 cited

How Far Are We? The Triumphs and Trials of Generative AI in Learning Software Engineering

Rudrajit Choudhuri, Dylan Liu, Igor Steinmacher +2

Conversational Generative AI (convo-genAI) is revolutionizing Software Engineering (SE) as engineers and academics embrace this technology in their work. However, there is a gap in…