7 citations · 12 across the 16 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…
Value-Sensitive Delegation in Everyday AI Agent Use: Evidence from OpenClaw
Renkai Ma, Ruyuan Wan, Xuan Lu +3
Users increasingly delegate work to autonomous AI agents, yet evaluations typically measure task completion rather than the values users prioritize. Using Value Sensitive Design, w…
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…
Large Language Models and Social Media Information Integrity: Opportunities, Challenges, and Research Directions
Junjie Xiong, Zhengyuan Jiang, Xiaoran Xu +7
Large Language Models (LLMs) have emerged as powerful tools that impact information integrity on social media platforms. This comprehensive review examines the dual role of LLMs in…
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…
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…
COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA Solvers
Junyu Wang, Changjia Zhu, Yuanbo Zhou +4
This paper studies how multimodal large language models (MLLMs) undermine the security guarantees of visual CAPTCHA. We identify the attack surface where an adversary can cheaply a…
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…
Guardians and Offenders: A Survey on Harmful Content Generation and Safety Mitigation of LLM
Chi Zhang, Changjia Zhu, Junjie Xiong +4
Large Language Models (LLMs) have revolutionized content creation across digital platforms, offering unprecedented capabilities in natural language generation and understanding. Me…