researcher

Joseph Chee Chang

I am a research scientist at the Allen Institute for AI (Ai2) working on the Asta project. I received my PhD from the Language Technologies Institute and the Human-Computer Interaction Institute at Carnegie Mellon University. My research sits at the intersection of human-computer interaction and AI, with the goal of building systems that help people navigate, understand, and synthesize large amounts of information. I primarily publish in HCI venues (e.g., CHI, UIST) and occationally in NLP conf

12 papers hereh-index 201.3k citations29 works total

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author position

first author2
middle author8
last author2

Across the 12 of 12 papers where every author was matched, so the position is known.

fields

affiliations

I am a research scientist at the Allen Institute for AI (Ai2) working on the Asta project. I received my PhD from the Language Technologies Institute and the Human-Computer Interaction Institute at Carnegie Mellon University. My research sits at the intersection of human-computer interaction and AI, with the goal of building systems that help people navigate, understand, and synthesize large amounts of information. I primarily publish in HCI venues (e.g., CHI, UIST) and occationally in NLP conf

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same name

Joseph Chee Chang — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity

20142023

most citedEvorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time

65 citations · 396 across the 12 of their papers we have counts for

collaborators

Showing 2023Show all

7 papers · 1 filter

cs.HC2023★ 17 cited

Papeos: Augmenting Research Papers with Talk Videos

Tae Soo Kim, Matt Latzke, Jonathan Bragg +2

Research consumption has been traditionally limited to the reading of academic papers-a static, dense, and formally written format. Alternatively, pre-recorded conference presentat…

cs.HC2023★ 45 cited

Synergi: A Mixed-Initiative System for Scholarly Synthesis and Sensemaking

Hyeonsu B. Kang, Sherry Tongshuang Wu, Joseph Chee Chang +1

Efficiently reviewing scholarly literature and synthesizing prior art are crucial for scientific progress. Yet, the growing scale of publications and the burden of knowledge make s…

cs.HC2023★ 8 cited

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces

Kyle Lo, Joseph Chee Chang, Andrew Head +52

Scholarly publications are key to the transfer of knowledge from scholars to others. However, research papers are information-dense, and as the volume of the scientific literature…

cs.CL2023★ 3 cited

Beyond Summarization: Designing AI Support for Real-World Expository Writing Tasks

Zejiang Shen, Tal August, Pao Siangliulue +6

Large language models have introduced exciting new opportunities and challenges in designing and developing new AI-assisted writing support tools. Recent work has shown that levera…

cs.HC2023★ 45 cited

CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context

Joseph Chee Chang, Amy X. Zhang, Jonathan Bragg +4

When reading a scholarly article, inline citations help researchers contextualize the current article and discover relevant prior work. However, it can be challenging to prioritize…

cs.HC2023★ 16 cited

ComLittee: Literature Discovery with Personal Elected Author Committees

Hyeonsu B. Kang, Nouran Soliman, Matt Latzke +2

In order to help scholars understand and follow a research topic, significant research has been devoted to creating systems that help scholars discover relevant papers and authors.…