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文章列表

PhD Seminar • Artificial Intelligence | Machine Learning • Basis Transformers for Multi-Task Tabular Regression Master’s Thesis Presentation • Programming Languages • C∀ Collection Library PhD Seminar • Computer Algebra | Symbolic Computation • Signature-based Gröbner basis Algorithms for Determinantal Ideals | Cheriton School of Computer Science | University of Waterloo Rhetoricon Symposium: Figures & Constructions, Constructions & Figures PhD Seminar • Systems and Networking • Attacks on Approximate Caches in Text-to-Image Diffusion Models PhD Seminar • Artificial Intelligence | Machine Learning • Simulating the Lateral Reader with an Iterative Multi-Agent RAG System for News Trustworthiness Assessment Master’s Thesis Presentation • Human–Computer Interaction • Investigating Osu!: Exploring a Community who Exhibit Extreme Input Performance PhD Seminar • Cryptography, Security, and Privacy (CrySP) • Selective MPC: Distributed Computation of Differentially Private Key-Value Statistics
PhD Seminar • Human–Computer Interaction • DuckDuckTalk: Conversational Agent Teams to Support Active Externalization during Collaborative Data Analysis | Cheriton School of Computer Science | University of Waterloo
Joe Petrik · 2026-05-27 · via

Please note: This PhD seminar will take place in DC 3317 and online.

Mohammad Hasan Payandeh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jian Zhao

Exploratory data analysis (EDA) benefits from collaboration, yet distributed work often leaves analysts to make sense of data alone. We introduce Active Externalization Partners (AEPs), teams of conversational agents designed to scaffold solo analysts by turning externalized thoughts into opportunities for feedback, critique, and elaboration. Unlike prior AI-assisted EDA systems that rely on either a single agreeable assistant or opaque multi-agent pipelines, AEPs present stable, legible roles that analysts can engage with directly.

We instantiate this concept in DuckDuckTalk, a web-based conversational workspace centered on a computational notebook, where agents observe the analyst’s and other agents’ speech, code, and notebook actions. They respond to requests through dialogue, code suggestions, and annotations. We derived the system and agent design from a formative study of the collaborative roles analysts miss during solo work, and evaluated DuckDuckTalk in a controlled study using an EDA task. Results show positive improvement over the use of a mere chatbot for EDA, suggesting that AEPs can provide meaningful collaborative scaffolding for individual analysts.


To attend this PhD seminar in person, please go to DC 3317. You can also attend virtually on Zoom.