most citedValue Sensitive Design for Fair Online Recruitment: A Conceptual Framework Informed by Job Seekers' Fairness Concerns

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

collaborators

7 papers

cs.RO2026

A User-driven Design Framework for Robotaxi

Yue Deng, Changyang He

Robotaxis are emerging as a promising form of urban mobility, but removing human drivers fundamentally reshapes passenger-vehicle interaction and raises new design challenges. To i…

cs.HC20261 cited

Value Sensitive Design for Fair Online Recruitment: A Conceptual Framework Informed by Job Seekers' Fairness Concerns

Changyang He, Yue Deng, Alessandro Fabris +2

The susceptibility to biases and discrimination is a pressing issue in today's labor markets. While digital recruitment systems play an increasingly significant role in human resou…

cs.HC2026

From Harm to Healing: Understanding Individual Resilience after Cybercrimes

Xiaowei Chen, Mindy Tran, Yue Deng +2

How do individuals recover from cybercrimes? Victims experience various types of harm after cybercrimes, including monetary loss, data breaches, negative emotions, and even psychol…

cs.HC2026

Experiencer, Helper, or Observer: Online Fraud Intervention for Older Adults Through Role-based Simulation

Yue Deng, Xiaowei Chen, Junxiang Liao +2

Online fraud is a critical global threat that disproportionately targets older adults. Prior anti-fraud education for older adults has largely relied on static, traditional instruc…

cs.HC2026

"What If My Face Gets Scanned Without Consent": Understanding Older Adults' Experiences with Biometric Payment

Yue Deng, Changyang He, Bo Li +1

Biometric payment, i.e., biometric authentication implemented in digital payment systems, can reduce memory demands and streamline payment for older adults. However, older adults'…

cs.LG2025

IPAD: Inverse Prompt for AI Detection - A Robust and Interpretable LLM-Generated Text Detector

Zheng Chen, Yushi Feng, Jisheng Dang +5

Large Language Models (LLMs) have attained human-level fluency in text generation, which complicates the distinguishing between human-written and LLM-generated texts. This increase…