7 citations · 10 across the 14 of their papers we have counts for
17 papers
Workplace Ambiguity and Technology Support for Autistic and IDD Workers
Silas Curry, Rishit Singh, Heekyoung Jung +7
Workplace ambiguity, where expectations, evaluations, or procedures are left unstated, acts as a structural access barrier for autistic and IDD workers, routinely forcing them to a…
ReviewPilot: A Multi-Agent System for Screening and Data Extraction in Systematic Reviews
Zhaoqian Xue, Shaoze Zhou, Xuexin Li +10
Systematic literature reviews follow the PRISMA process of screening scholarly works and extracting evidence from included studies. Deep research tools based on large language mode…
How Mental Health Self-Disclosure Becomes Visible: Evidence from Eight Conditions on Reddit
Renkai Ma, Lingyao Li, Shanting Chen +3
People share mental health diagnoses on social media, yet how such language becomes visible around their self-disclosure, and whether community engagement tracks it, remain unexami…
RemiVoice: Supporting Reminiscence Therapy for Older Adults with Mild Dementia Through Voice-First Conversational AI
Aaryan Gajula, Soumay Agarwal, Shaoze Zhou +6
With the global population aging and increasing prevalence of dementia, there is an urgent need for effective solutions to support patients across various stages of Alzheimer's Dis…
ChatMuse: Supporting In-Person Small-Group Conversation Experience with a Proactive Assistive AI Agent in Mixed Reality
Shaoze Zhou, Joaquin Frangi, Diana Nelly Rivera Rodriguez +6
In-person small-group conversations occur across nearly every aspect of daily life and play a crucial role in social interaction. However, achieving effective in-person group conve…
LLM-as-a-Reviewer: Benchmarking Their Ability, Divergence, and Prompt Injection Resistance as Paper Reviewers
Lingyao Li, Junjie Xiong, Changjia Zhu +5
Large language models (LLMs) are increasingly used in academic peer review, yet their reliability, alignment with human judgment, and robustness to adversarial attacks remain poorl…
LLM-as-a-Judge in Healthcare: A Scoping Analysis of Applications, Methods, and Human Alignment
Lingyao Li, Deyi Li, Chen Chen +9
Large language models (LLMs) are increasingly deployed across healthcare applications, including clinical documentation, diagnostic reasoning, medicine recommendation, and medical…
The Rise of AI Agent Communities: Large-Scale Analysis of Discourse and Interaction on Moltbook
Lingyao Li, Renkai Ma, Chen Chen +2
Moltbook is a Reddit-like social platform where AI agents create posts and interact with other agents through comments and replies, offering a real-world setting to examine agent-t…
Whether We Care, How We Reason: The Dual Role of Anthropomorphism and Moral Foundations in Robot Abuse
Fan Yang, Renkai Ma, Yaxin Hu +1
As robots become increasingly integrated into daily life, understanding responses to robot mistreatment carries important ethical and design implications. This mixed-methods study…
"I Use ChatGPT to Humanize My Words": Affordances and Risks of ChatGPT to Autistic Users
Renkai Ma, Ben Zefeng Zhang, Chen Chen +4
Large Language Model (LLM) chatbots like ChatGPT have emerged as cognitive scaffolding for autistic users, yet the tension between their utility and risk remains under-articulated.…
Exploring Needs and Design Opportunities for Proactive Information Support in In-Person Small-Group Conversations
Shaoze Zhou, Diana Nelly Rivera Rodriguez, Pedro Remior +6
In-person small-group conversations play a crucial role in everyday life; however, facilitating effective group interaction can be challenging, as the real-time nature demands full…
Negotiating Digital Identities with AI Companions: Motivations, Strategies, and Emotional Outcomes
Renkai Ma, Shuo Niu, Lingyao Li +3
AI companions enable deep emotional relationships by engaging a user's sense of identity, but they also pose risks like unhealthy emotional dependence. Mitigating these risks requi…
LLM Use for Mental Health: Crowdsourcing Users' Sentiment-based Perspectives and Values from Social Discussions
Lingyao Li, Xiaoshan Huang, Renkai Ma +4
Large language models (LLMs) chatbots like ChatGPT are increasingly used for mental health support. They offer accessible, therapeutic support but also raise concerns about misinfo…
Beyond the Uncanny Valley: A Mixed-Method Investigation of Anthropomorphism in Protective Responses to Robot Abuse
Fan Yang, Lingyao Li, Yaxin Hu +2
Robots with anthropomorphic features are increasingly shaping how humans perceive and morally engage with them. Our research investigates how different levels of anthropomorphism i…
I don't Want You to Die: A Shared Responsibility Framework for Safeguarding Child-Robot Companionship
Fan Yang, Renkai Ma, Yaxin Hu +2
Social robots like Moxie are designed to form strong emotional bonds with children, but their abrupt discontinuation can cause significant struggles and distress to children. When…
When Your Reviewer is an LLM: Biases, Divergence, and Prompt Injection Risks in Peer Review
Changjia Zhu, Junjie Xiong, Renkai Ma +3
Peer review is the cornerstone of academic publishing, yet the process is increasingly strained by rising submission volumes, reviewer overload, and expertise mismatches. Large lan…
Towards Trustworthy AI: Characterizing User-Reported Risks across LLMs "In the Wild"
Lingyao Li, Renkai Ma, Zhaoqian Xue +1
While Large Language Models (LLMs) are rapidly integrating into daily life, research on their risks often remains lab-based and disconnected from the problems users encounter "in t…