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20202026
most citedStoryfier: Exploring Vocabulary Learning Support with Text Generation Models

24 citations · 81 across the 15 of their papers we have counts for

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14 papers · 1 filter

cs.HC2026

Same Stories, Different Journeys: Exploring Persona-Grounded Conversational Agents for Supporting Career Exploration with Peers' Posts

Pengping Tan, Baoquan Zhao, Shuai Ma +1

Young job seekers frequently explore their career possibilities by browsing peers' posts that share job-seeking experiences. However, static browsing requires them to reconstruct f…

cs.HC2026

CoNewsReader: Supporting Comprehensive Understanding and Raising Critical Thoughts on Social Media News Through Comments

Kangyu Yuan, Guanzheng Chen, Sizhe Liang +5

Critical news reading (CNR), which requires grasping the holistic ideas of and raising critical thoughts on the news, is beneficial yet challenging for general people who usually g…

cs.HC2026★ 1 cited

InkIdeator: Supporting Chinese-Style Visual Design Ideation via AI-Infused Exploration of Chinese Paintings

Shiwei Wu, Ziyao Gao, Zhendong He +6

Visual designers often seek inspiration from Chinese paintings when tasked with creating Chinese-style illustrations, posters, etc. Our formative study (N=10) reveals that during i…

cs.HC2025

Designing AI-Infused Interactive Systems for Online Communities: A Systematic Literature Review

Yuanhao Zhang, Xiaoyu Wang, Jiaxiong Hu +3

AI-infused systems have demonstrated remarkable capabilities in addressing diverse human needs within online communities. Their widespread adoption has shaped user experiences and…

cs.HC2024★ 11 cited

RetAssist: Facilitating Vocabulary Learners with Generative Images in Story Retelling Practices

Qiaoyi Chen, Siyu Liu, Kaihui Huang +4

Reading and repeatedly retelling a short story is a common and effective approach to learning the meanings and usages of target words. However, learners often struggle with compreh…

cs.HC2024★ 9 cited

Towards Human-AI Deliberation: Design and Evaluation of LLM-Empowered Deliberative AI for AI-Assisted Decision-Making

Shuai Ma, Qiaoyi Chen, Xinru Wang +4

In AI-assisted decision-making, humans often passively review AI's suggestion and decide whether to accept or reject it as a whole. In such a paradigm, humans are found to rarely t…