activity
20192026
most citedDevelopers Who Vlog: Dismantling Stereotypes through Community and Identity

10 citations · 18 across the 8 of their papers we have counts for

collaborators

10 papers

cs.HC2026

It Matters How You Say It: Exploring Rhetorical Patterns for AI-Assisted Information Evaluation

Sadra Sabouri, Zeinabsadat Saghi, Jordan Lee Boyd-Graber +3

Prior work on AI-assisted information evaluation has largely focused on what AI systems communicate, comparing explanation types and formats, with responses predominantly cast in d…

cs.HC2026

"Like Taking the Path of Least Resistance": Exploring the Impact of LLM Interaction on the Creative Process of Programming

Zeinabsadat Saghi, Run Huang, Souti Chattopadhyay

Creativity is fundamentally human. As AI takes on more of the generative work that once required human imagination, despite documented limitations in creative ability, a critical q…

cs.SE2026

Generating Complex Code Analyzers from Natural Language Questions

Amirmohammad Nazari, Sadra Sabouri, Wang Bill Zhu +3

Many software development tasks, such as implementing features and fixing bugs, begin with developers posing questions about a codebase. However, answering questions about codebase…

cs.HC2026

Non-Markovian Dynamical Systems Modeling of Electroencephalogram-based Brain Activity for Anticipating the Cognitive Fatigue Level

Zeinabsadat Saghi, Daria Riabukhina, Olubukola Akinbami +2

Cognitive fatigue, which transitions from focused attention to inexact responses, can cause catastrophic failures in high-stakes environments, yet current black-box assessment tech…

cs.HC2026

Auditing and Controlling AI Agent Actions in Spreadsheets

Sadra Sabouri, Zeinabsadat Saghi, Run Huang +4

Advances in AI agent capabilities have outpaced users' ability to meaningfully oversee their execution. AI agents can perform sophisticated, multi-step knowledge work autonomously…

cs.SE2026

Cognitive Biases in LLM-Assisted Software Development

Xinyi Zhou, Zeinadsadat Saghi, Sadra Sabouri +3

The widespread adoption of Large Language Models (LLMs) in software development is transforming programming from a solution-generative to a solution-evaluative activity. This shift…