Majeed Kazemitabaar

schoolUniversity of Torontobar_chart#2402 Global Rank

Total Papers

HCI Rank

#2402

Research Areas

Years Active

Recent Publications

Invisible Saboteurs: Sycophantic LLMs Mislead Novices in Problem-Solving Tasks

Sycophancy, the tendency of LLM-based chatbots to express excessive agreement with their users, even when inappropriate, is emerging as a significant risk in human-AI interactions. However, the extent to which this affects human-LLM collaboration in complex problem-solving tasks is not well quantified, especially amon…

IUI '251st AuthorHuman-LLM Collaboration +1

Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning

Novice programmers are increasingly relying on Large Language Models (LLMs) to generate code for learning programming concepts. However, this interaction can lead to superficial engagement, giving learners an illusion of learning and hindering skill development. To address this issue, we conducted a systematic design…

UIST '241st AuthorHuman-LLM Collaboration +2

Improving Steering and Verification in AI-Assisted Data Analysis with Interactive Task Decomposition

LLM-powered tools like ChatGPT Data Analysis, have the potential to help users tackle the challenging task of data analysis programming, which requires expertise in data processing, programming, and statistics. However, our formative study (n=15) uncovered serious challenges in verifying AI-generated results and steer…

CHI '241st AuthorHuman-LLM Collaboration +1

CodeAid: Evaluating a Classroom Deployment of an LLM-based Programming Assistant that Balances Student and Educator Needs

Timely, personalized feedback is essential for students learning programming. LLM-powered tools like ChatGPT offer instant support, but reveal direct answers with code, which may hinder deep conceptual engagement. We developed CodeAid, an LLM-powered programming assistant delivering helpful, technically correct respon…

CHI '231st AuthorHuman-LLM Collaboration +1

Studying the Effect of AI Code Generators on Supporting Learners in Introductory Programming

AI code generators like OpenAI Codex have the potential to assist novice programmers by generating code from natural language descriptions, however, over-reliance might negatively impact learning and retention. To explore the implications that AI code generators have on introductory programming, we conducted a control…

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