1 citations · 2 across the 3 of their papers we have counts for
6 papers
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…
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…