TY - GEN
T1 - Application of Generative AI for Real-Time Image Creation in Cross-Cultural Design Communication
AU - Gong, Tao
AU - Zhao, Xiaoxuan
AU - Qiu, Yue
AU - Bao, Guangyi
AU - Deng, Min
AU - Dai, Jialu
AU - Guo, Kerong
AU - Yang, Nan
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - Effective communication between participants is crucial in cross-cultural design research. However, presenting and conveying abstract concepts accurately and efficiently during communication presents a significant challenge, often leading to misunderstandings and comprehension gaps. This study introduces CrossPic, a generative AI-powered tool designed to address these challenges by identifying abstract concepts in online cross-cultural design communication, such as design terminology and user-described scenarios, and generating illustrative images with textual explanations in real-time. A comparative experiment (n = 20) evaluated CrossPic against traditional methods. The results reveal that CrossPic significantly enhances the accuracy of abstract concept conveyance while improving communication efficiency. Furthermore, the tool demonstrates strong cross-cultural adaptability and usability, along with high participant satisfaction, underscoring its potential for advancing cross-cultural design research.
AB - Effective communication between participants is crucial in cross-cultural design research. However, presenting and conveying abstract concepts accurately and efficiently during communication presents a significant challenge, often leading to misunderstandings and comprehension gaps. This study introduces CrossPic, a generative AI-powered tool designed to address these challenges by identifying abstract concepts in online cross-cultural design communication, such as design terminology and user-described scenarios, and generating illustrative images with textual explanations in real-time. A comparative experiment (n = 20) evaluated CrossPic against traditional methods. The results reveal that CrossPic significantly enhances the accuracy of abstract concept conveyance while improving communication efficiency. Furthermore, the tool demonstrates strong cross-cultural adaptability and usability, along with high participant satisfaction, underscoring its potential for advancing cross-cultural design research.
KW - Abstract Concept
KW - Cross-Cultural
KW - Design Communication
KW - Generative AI
UR - http://www.scopus.com/pages/publications/105008673532
U2 - 10.1007/978-3-031-94168-9_7
DO - 10.1007/978-3-031-94168-9_7
M3 - Conference contribution
AN - SCOPUS:105008673532
SN - 9783031941672
T3 - Communications in Computer and Information Science
SP - 65
EP - 76
BT - HCI International 2025 Posters - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
A2 - Salvendy, Gavriel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 27th International Conference on Human-Computer Interaction, HCII 2025
Y2 - 22 June 2025 through 27 June 2025
ER -