activity
20232025
most citedWho Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

6 citations · 7 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2025★ 1 cited

"AI Afterlife" as Digital Legacy: Perceptions, Expectations, and Concerns

Ying Lei, Shuai Ma, Yuling Sun +1

The rise of generative AI technology has sparked interest in using digital information to create AI-generated agents as digital legacy. These agents, often referred to as "AI After…

cs.HC2025

WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch

Ying Lei, Yancheng Cao, Will Wang +13

While just-in-time interventions (JITIs) have effectively targeted common health behaviors, individuals often have unique needs to intervene in personal undesirable actions that ca…

cs.HC2024

Unpacking ICT-supported Social Connections and Support of Late-life Migration: From the Lens of Social Convoys

Ying Lei, Shuai Ma, Yuling Sun

Migration and aging-related dilemmas have limited the opportunities for late-life migrants to rebuild social connections and access support. While research on migrants has drawn in…

cs.HC2024

"Are You Really Sure?" Understanding the Effects of Human Self-Confidence Calibration in AI-Assisted Decision Making

Shuai Ma, Xinru Wang, Ying Lei +3

In AI-assisted decision-making, it is crucial but challenging for humans to achieve appropriate reliance on AI. This paper approaches this problem from a human-centered perspective…

cs.HC2023★ 6 cited

Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making

Shuai Ma, Ying Lei, Xinru Wang +4

In AI-assisted decision-making, it is critical for human decision-makers to know when to trust AI and when to trust themselves. However, prior studies calibrated human trust only b…