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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

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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.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.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.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.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…