57 citations · 103 across the 11 of their papers we have counts for
12 papers
SnuggleSense: Empowering Online Harm Survivors Through a Structured Sensemaking Process
Sijia Xiao, Haodi Zou, Amy Mathews +3
Online interpersonal harm, such as cyberbullying and sexual harassment, remains a pervasive issue on social media platforms. Traditional approaches, primarily content moderation, o…
Generative AI in Knowledge Work: Design Implications for Data Navigation and Decision-Making
Bhada Yun, Dana Feng, Ace S. Chen +2
Our study of 20 knowledge workers revealed a common challenge: the difficulty of synthesizing unstructured information scattered across multiple platforms to make informed decision…
Sustaining Human Agency, Attending to Its Cost: An Investigation into Generative AI Design for Non-Native Speakers' Language Use
Yimin Xiao, Cartor Hancock, Sweta Agrawal +4
AI systems and tools today can generate human-like expressions on behalf of people. It raises the crucial question about how to sustain human agency in AI-mediated communication. W…
(Beyond) Reasonable Doubt: Challenges that Public Defenders Face in Scrutinizing AI in Court
Angela Jin, Niloufar Salehi
Accountable use of AI systems in high-stakes settings relies on making systems contestable. In this paper we study efforts to contest AI systems in practice by studying how public…
Physician Detection of Clinical Harm in Machine Translation: Quality Estimation Aids in Reliance and Backtranslation Identifies Critical Errors
Nikita Mehandru, Sweta Agrawal, Yimin Xiao +4
A major challenge in the practical use of Machine Translation (MT) is that users lack guidance to make informed decisions about when to rely on outputs. Progress in quality estimat…
Beyond General Purpose Machine Translation: The Need for Context-specific Empirical Research to Design for Appropriate User Trust
Wesley Hanwen Deng, Nikita Mehandru, Samantha Robertson +1
Machine Translation (MT) has the potential to help people overcome language barriers and is widely used in high-stakes scenarios, such as in hospitals. However, in order to use MT…