Xinheng Song
Joint PhD. Student
Room: 275
Office Hours: by Appointment
E-Mail: xinheng[dot]song[at]tum[dot]de
Career Development
2025-present: Joint PhD. Student, Technical University of Munich in cooperation with Beijing Institute of Technology supported by the China Scholarship Council, Germany
2023-present: Ph.D. Candidate, Design Cognition and Computing Research Center, Beijing Institute of Technology, China
2022: UX Designer, 2012 Lab, Huawei Technologies Co., Ltd., China
2020-2023: M.F.A. in School of Design and Art, Beijing Institute of Technology, China
2016-2020: B.E. in Industrial Design at School of Mechanical and Electrical Engineering, Northeast Forestry University, China
Research Interests
Data Driven Design Methods
Human-Computer Interaction
Generative AI Design
Multimodal Neurophysiological Measurement
Publications
Song, X., Xu, L., Peng, C., Pan, S., Adibi, A., Wang, X., & Lu, Z. (2025). Enhanced creativity at the cost of increased stress? The impact of generative AI on serious games for creativity stimulation. Behaviour & Information Technology, 1–25. doi.org/10.1080/0144929x.2025.2459267
Song, X., Song, H., Gao, B., Gao, Q., Li, W., Xu, L., & Lu, Z. (2025). “Do you need the sage's tea or the friend's cola” Exploring the differential healing effects of generative AI conversational styles. CHI 2025, 1–8. doi.org/10.1145/3706599.3720026
Song, X., Liu, C., Xu, L., Gao, B., Lu, Z., & Zhang, Y. (2025). Affective computing methods for multimodal embodied AI human–computer interaction. Aslib Journal of Information Management, 1–25. doi.org/10.1108/ajim-08-2024-0653
Song, X., & Lu, Z. (2022). Design of museum science popularization interactive installation based on embodied cognition theory. AHFE 2022 International Conference. doi.org/10.54941/ahfe1001946
Song, X., Gong, X & Lu, Z. (2023). Design and Evaluation of Consumer Financial Information Products under the Perspective of Dynamic Trust. Packaging Engineering (24), 34-41. https://doi:10.19554/j.cnki.1001-3563.2023.24.004. (in Chinese)
Lu, Z, Song, X.* & Jin, Y. (2023). State of Arts and Development of Intelligent Design Methods under the AIGC Trend. Packaging Engineering (24), 18-33+13. https://doi:10.19554/j.cnki.1001-3563.2023.24.003. (in Chinese)
Xu, W., Zhao, L., Song, H., Song, X., Lu, Z., Liu, Y., Chen, M., Lim, E. G., & Yu, L. (2025). Mozualization: Crafting music and visual representation with multimodal AI. CHI 2025, 1–7. doi.org/10.1145/3706599.3719686