近5年代表论文
1. Gao, E., Guo, J., Pang, X.，Bo, D., Chen, Z.* (2024) Exploring pathways to comprehension performance in multilanguage smart voice systems: insights from Lasso regression, SEM, PLS-SEM, CNN, and BiLSTM. Humanit Soc Sci Commun 11, 1544. https://doi.org/10.1057/s41599-024-04025-x
2. Wang, Y., Gao, E., Zhou, Y., Mo, J., & Chen, Z.* (2025). How Text Length and Speech Rate Affect the Comprehensibility of Intelligent Voice Assistants During Emergencies Such as Earthquakes and Typhoons. International Journal of Human–Computer Interaction, 1–27. https://doi.org/10.1080/10447318.2025.2508305
3. Chen Z., Zhou X., Zhang Z., Yan H., Niu X., & Li Y. (2025). Using the Decomposed Theory of Planned Behavior and a Structural Equation Model with Partial Least Squares to Investigate Construction and Demolition Waste Reduction Behavior. Journal of Construction Engineering and Management, 151(8), 4025105. https://doi.org/10.1061/JCEMD4.COENG-15810
4. Gao, E., Liu, Y., Zhou, Y., Guo, J., & Chen, Z.* (2025). How does comprehension affect user experience quality in multilanguage voice-activated intelligent education? International Journal of Human-Computer Studies, 203, 103551. https://doi.org/https://doi.org/10.1016/j.ijhcs.2025.103551
5. Mo, J., Chen, J., Shi, T., & Chen, Z.* (2025). What type of intelligent cockpit can help more in traffic accident scenarios? Considering the effects of gender and anthropomorphism in voice interface, and their interaction with text length. Transportation Research Part F: Traffic Psychology and Behaviour, 103327. https://doi.org/https://doi.org/10.1016/j.trf.2025.07.037
