most citedExplainitAI: When do we trust artificial intelligence? The influence of content and explainability in a cross-cultural comparison

15 citations · 16 across the 3 of their papers we have counts for

collaborators

5 papers

cs.HC2025

Theatrical Language Processing: Exploring AI-Augmented Improvisational Acting and Scriptwriting with LLMs

Sora Kang, Joonhwan Lee

The increasing convergence of artificial intelligence has opened new avenues, including its emerging role in enhancing creativity. It is reshaping traditional creative practices su…

cs.HC20251 cited

Designing a User Interface for Generative Design in Augmented Reality: A Step Towards More Visualization and Feed-Forwarding

Sora Kang, Kaiwen Yu, Xinyi Zhou +1

Generative design, an AI-assisted technology for optimizing design through algorithmic processes, is propelling advancements across numerous fields. As the use of immersive environ…

cs.HC2025

An NLP-Driven Approach Using Twitter Data for Tailored K-pop Artist Recommendations

Sora Kang, Mingu Lee

The global rise of K-pop and the digital revolution have paved the way for new dimensions in artist recommendations. With platforms like Twitter serving as a hub for fans to intera…

cs.HC202515 cited

ExplainitAI: When do we trust artificial intelligence? The influence of content and explainability in a cross-cultural comparison

Sora Kang, Andreea-Elena Potinteu, Nadia Said

This study investigates cross-cultural differences in the perception of AI-driven chatbots between Germany and South Korea, focusing on topic dependency and explainability. Using a…

cs.SI2025

Toward a Healthier Social Media Experience: Designing 'Inspiration' and 'Reality' Modes to Enhance Digital Well-Being for Generation Z

Sora Kang

This study presents a dual-mode interface design concept for social media platforms aimed at reducing social comparison in health-related content among Korean MZ (Millennials and G…