Accès ouvert
2026
article
OpenAlex
Jia-Qi Shi, Yixiong Wang, Jiawen Zheng, Hourun Wang et autres
Machine Civilization is a multi-screen mechanical installation that imagines an autonomous system observing the world through diverse machine perspectives and generating scripts independent of human semantic frameworks. The installation implements a real-time system of observation, interpretation, collective deliberation, and script inscription, producing …
cn
(code pays fourni par la source)
Accès ouvert
2026
conference-paper
OpenAlex
Yue Qin, Tengjia Zuo, Liang Chen
Dark patterns are commonly defined as manipulative interface designs that undermine user autonomy, with prior work evaluating their impact through predefined negative framings. However, users’ lived experiences of influential design are often more heterogeneous and situational. This paper examines how users experience …
cn
(code pays fourni par la source)
Accès ouvert
2026
conference-paper
OpenAlex
Zijun Wan, Yuxuan Guo, Haowei Xiong, Kexin Nie et autres
Novice ceramic makers often struggle to bridge early-stage inspiration with feasible physical making, particularly when transitioning from ideation to embodied shaping and surface decoration. To address this challenge, we present ARtisanAI, an integrated AI and AR workflow that supports the full ceramic …
gb, cn, au
(code pays fourni par la source)
2026
conference-paper
OpenAlex
Yufeng Zeng, Tianzhao Lin, Shuyue Li, Yue Hong et autres
Performance-driven AI video creation allows users to express ideas through bodily action, but it also requires performers to coordinate embodied performance with camera movement. For solo creators, managing this coordination in real time can be cognitively demanding and limits cinematic exploration. We …
cn, hk
(code pays fourni par la source)
Accès ouvert
2026
conference-paper
OpenAlex
Jingruo Chen, Kexin Nie, Mingshan Zhang, Zhiqi Gao et autres
Situational visual impairments (SVIs) hinder mobile readability, causing discomfort and limiting information access. Building on prior work in adaptive typography and accessibility, this paper presents SituFont, a context-aware and human-in-the-loop adaptive typography adjustment approach that enhances smartphone mobile readability by dynamically adjusting …
us, au, cn
(code pays fourni par la source)
Accès ouvert
2026
conference-paper
OpenAlex
Zisu Li, Ruohao Li, Jiawei Li, Chao Liu et autres
Reconstructing realistic digital twins has become crucial as advances in mixed reality, metaverse, and robotics demand more accurate simulations for the physical world. Despite technical progress, building high-fidelity digital twins from a systematic and human-centered perspective remains underexplored. Drawing from the human …
hk, cn, ca, us
(code pays fourni par la source)
2025
conference-abstract
OpenAlex
Yixiong Wang, Jia-Qi Shi, Hourun Wang, Yufeng Zeng et autres
No abstract available.
cn
(code pays fourni par la source)
Accès ouvert
2025
conference-paper
OpenAlex
Tianzhao Lin, Bo Zheng, Wen You, Haichuan Lin et autres
The expressive power of Chinese calligraphy lies in its gestural dynamics, such as rhythm and velocity, which are implicitly captured in the final 2D form. This paper introduces Generative Strokes, a novel parametric framework that translates these implicit dynamics into explicit and …
cn
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Tiancheng Liu, Shumeng Zhang, Kang Zhang, Liang Chen
Chinese calligraphy offers fruitful visual structure not found in abstract/ figurative paintings or photographic images. It makes it well-suited for studying how personality shapes aesthetic preference, yet few works have explored this link. This paper introduces the first computational framework that models …
hk, cn
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Chongyang Wang, Tianyi Xia, Yifan Wang, Gang Yu et autres
cn, us, hk, de
(code pays fourni par la source)
2025
article
OpenAlex
Liang Chen, Yun Yang
cn
(code pays fourni par la source)
2025
conference-paper
OpenAlex
Xing Chen, Liang Chen
The scarcity of fault samples limits cross-domain knowledge transfer, while training dominated by healthy samples leads to biased decision boundaries. In addition, distribution imbalance further aggravates the problem of negative transfer. To address these issues, a Multi-Source Contrastive Learning model with Pseudo-Label …
cn
(code pays fourni par la source)