3 citations · 3 across the 5 of their papers we have counts for
8 papers
How Far Do Capability Cues Travel? Anthropomorphism and Differentiated Trust in a Platform-Embedded AI Assistant
Chenchen Mao, Hanjing Shi, Haiyan Jia +1
Visible AI capabilities need not translate into broader judgments of trustworthiness. In a randomized 2 x 2 experiment with 270 U.S.-based Reddit users, an embedded assistant displ…
When Readability and Source Retention Diverge: An Evaluability Gap in AI Translation
Chenchen Mao, Hanjing Shi, Haiyan Jia +2
Readable AI output can leave an evaluability gap: even when the source is shown, an overall-quality judgment may not reflect what an output preserves. We investigated how source-te…
Outer Limits: An Experimental Approach to Controlled Content Manipulation within the Reddit Interface
Chenchen Mao, Hanjing Shi, Haiyan Jia +3
Independent researchers often lack access to intervention capabilities for controlled experiments on live social media platforms. We present Outer Limits, a browser-based system fo…
Alignment in Time: Peak-Aware Orchestration for Long-Horizon Agentic Systems
Hanjing Shi, Dominic DiFranzo
Traditional AI alignment primarily focuses on individual model outputs; however, autonomous agents in long-horizon workflows require sustained reliability across entire interaction…
When Visibility Outpaces Verification: Delayed Verification and Narrative Lock-in in Agentic AI Discourse
Hanjing Shi, Dominic DiFranzo
Agentic AI systems-autonomous entities capable of independent planning and execution-reshape the landscape of human-AI trust. Long before direct system exposure, user expectations…
Human Control Is the Anchor, Not the Answer: Early Divergence of Oversight in Agentic AI Communities
Hanjing Shi, Dominic DiFranzo
Oversight for agentic AI is often discussed as a single goal ("human control"), yet early adoption may produce role-specific expectations. We present a comparative analysis of two…