most citedAI-exhibited Personality Traits Can Shape Human Self-concept through Conversations

2 citations · 4 across the 4 of their papers we have counts for

collaborators

5 papers

cs.HC2026

InterPilot: Exploring the Design Space of AI-assisted Job Interview Support for HR Professionals

Zhengtao Xu, Zimo Xia, Zicheng Zhu +5

Recruitment interviews are cognitively demanding interactions in which interviewers must simultaneously listen, evaluate candidates, take notes, and formulate follow-up questions.…

cs.HC20261 cited

AI Personalization Paradox: Personalized AI Increases Superficial Engagement in Reading while Undermines Autonomy and Ownership in Writing

Peinuan Qin, Chi-Lan Yang, Nattapat Boonprakong +3

AI-assisted writing raises concerns about autonomy and ownership when benefiting writers. Personalization has been proposed as an effective solution while also risking writers' rel…

cs.HC20261 cited

ChatLearn: Leveraging AI to Transform Non-Native Speaker Communication Challenges as Language Learning Opportunities

Peinuan Qin, Yugin Tan, Jingzhu Chen +4

Non-native speakers (NNSs) face significant language barriers in multilingual communication with native speakers (NSs). While AI-mediated communication (AIMC) tools offer efficient…

cs.HC20262 cited

AI-exhibited Personality Traits Can Shape Human Self-concept through Conversations

Jingshu Li, Tianqi Song, Nattapat Boonprakong +3

Recent Large Language Model (LLM) based AI can exhibit recognizable and measurable personality traits during conversations to improve user experience. However, as human understandi…

cs.HC2022

Approaches to Identify Vulnerabilities to Misinformation: A Research Agenda

Nattapat Boonprakong, Benjamin Tag, Tilman Dingler

Given the prevalence of online misinformation and our scarce cognitive capacity, Internet users have been shown to frequently fall victim to such information. As some studies have…