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20232025
most citedConversAR: Exploring Embodied LLM-Powered Group Conversations in Augmented Reality for Second Language Learners

9 citations · 32 across the 12 of their papers we have counts for

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11 papers · 1 filter

cs.HC2025★ 6 cited

GPTFootprint: Increasing Consumer Awareness of the Environmental Impacts of LLMs

Nora Graves, Vitus Larrieu, Yingyue Trace Zhang +4

With the growth of AI, researchers are studying how to mitigate its environmental impact, primarily by proposing policy changes and increasing awareness among developers. However,…

cs.HC2025★ 9 cited

ConversAR: Exploring Embodied LLM-Powered Group Conversations in Augmented Reality for Second Language Learners

Jad Bendarkawi, Ashley Ponce, Sean Mata +6

Group conversations are valuable for second language (L2) learners as they provide opportunities to practice listening and speaking, exercise complex turn-taking skills, and experi…

cs.HC2025★ 3 cited

PolicyPulse: LLM-Synthesis Tool for Policy Researchers

Maggie Wang, Ella Colby, Jennifer Okwara +3

Public opinion shapes policy, yet capturing it effectively to surface diverse perspectives remains challenging. This paper introduces PolicyPulse, an LLM-powered interactive system…

cs.HC2025

Understanding Decentralized Social Feed Curation on Mastodon

Yuhan Liu, Emmy Song, Owen Xingjian Zhang +3

As centralized social media platforms face growing concerns, more users are seeking greater control over their social feeds and turning to decentralized alternatives such as Mastod…

cs.HC2025★ 3 cited

Exploring the Design Space of Real-time LLM Knowledge Support Systems: A Case Study of Jargon Explanations

Yuhan Liu, Aadit Shah, Jordan Ackerman +1

Knowledge gaps often arise during communication due to diverse backgrounds, knowledge bases, and vocabularies. With recent LLM developments, providing real-time knowledge support i…

cs.HC2024★ 2 cited

Dr. GPT in Campus Counseling: Understanding Higher Education Students' Opinions on LLM-assisted Mental Health Services

Owen Xingjian Zhang, Shuyao Zhou, Jiayi Geng +2

In response to the increasing mental health challenges faced by college students, we sought to understand their perspectives on how AI applications, particularly Large Language Mod…

cs.HC2024★ 1 cited

Evaluating Fairness in Black-box Algorithmic Markets: A Case Study of Ride Sharing in Chicago

Yuhan Liu, Yuhan Zheng, Siyuan Zhang +1

This study examines fairness within the rideshare industry, focusing on both drivers' wages and riders' trip fares. Through quantitative analysis, we found that drivers' hourly wag…

cs.HC2024★ 2 cited

Mapping the Landscape of Independent Food Delivery Platforms in the United States

Yuhan Liu, Amna Liaqat, Owen Xingjian Zhang +5

Beyond the well-known giants like Uber Eats and DoorDash, there are hundreds of independent food delivery platforms in the United States. However, little is known about the sociote…

cs.HC2023★ 1 cited

Should Policymakers be Involved? Understanding the Opinions and Needs for Independent Food Delivery Platforms in the United States regarding Public Policy

Yuhan Liu, Amna Liaqat, Andrés Monroy-Hernández

Mainstream food delivery platforms, like DoorDash and Uber Eats, have been the locus of fierce policy debates about their unfair business and labor practices. At the same time, hun…

cs.HC2023★ 2 cited

Agent-based Simulation for Online Mental Health Matching

Yuhan Liu, Anna Fang, Glen Moriarty +2

Online mental health communities (OMHCs) are an effective and accessible channel to give and receive social support for individuals with mental and emotional issues. However, a key…

cs.HC2023★ 1 cited

Understanding Human Intervention in the Platform Economy: A case study of an indie food delivery service

Samantha Dalal, Ngan Chiem, Nikoo Karbassi +2

This paper examines the sociotechnical infrastructure of an "indie" food delivery platform. The platform, Nosh, provides an alternative to mainstream services, such as Doordash and…