Publications

2026

1. TRF

   

   Evaluating the effectiveness of a behavior change wheel-informed intervention to reduce risky riding behaviors among delivery riders

   F. Ye, C. Wang, Z. Zhang, T. Zhu, H. Dou, and Lirui Guo

   Transportation Research Part F: Traffic Psychology and Behaviour, 2026

   Bib HTML Other Collaborations

   @article{ye2026evaluating,
     title = {Evaluating the effectiveness of a behavior change wheel-informed intervention to reduce risky riding behaviors among delivery riders},
     author = {Ye, F. and Wang, C. and Zhang, Z. and Zhu, T. and Dou, H. and Guo, Lirui},
     journal = {Transportation Research Part F: Traffic Psychology and Behaviour},
     volume = {120},
     pages = {103663},
     year = {2026},
     publisher = {Elsevier},
     doi = {10.1016/j.trf.2026.103663},
     url = {https://doi.org/10.1016/j.trf.2026.103663},
     research_tag = {Other Collaborations},
     research_url = {/projects/#other-collaborations},
   }

2025

1. 

   A new framework to predict and visualize technology acceptance: A case study of shared autonomous vehicles

   Lirui Guo, Michael G. Burke, and Wynita M. Griggs

   Technological Forecasting and Social Change, 2025

   Bib PDF HTML PhD Research

   @article{guo2025framework,
     title = {A new framework to predict and visualize technology acceptance: A case study of shared autonomous vehicles},
     author = {Guo, Lirui and Burke, Michael G. and Griggs, Wynita M.},
     journal = {Technological Forecasting and Social Change},
     volume = {212},
     pages = {123960},
     year = {2025},
     publisher = {Elsevier},
     doi = {10.1016/j.techfore.2024.123960},
     url = {https://doi.org/10.1016/j.techfore.2024.123960},
     research_tag = {PhD Research},
     research_url = {/projects/#phd},
   }

2. 

   Proactive framework for evaluating retrieval-augmented generation-based learning assistants in engineering education

   Linxin Hua, Lirui Guo, Nan Zheng, Y Lu, J Xu, and J Deng

   Computer-Aided Civil and Infrastructure Engineering, 2025

   Bib PDF HTML AI in Education

   @article{hua2025proactive,
     title = {Proactive framework for evaluating retrieval-augmented generation-based learning assistants in engineering education},
     author = {Hua, Linxin and Guo, Lirui and Zheng, Nan and Lu, Y and Xu, J and Deng, J},
     journal = {Computer-Aided Civil and Infrastructure Engineering},
     year = {2025},
     publisher = {Wiley},
     doi = {10.1111/mice.70063},
     url = {https://doi.org/10.1111/mice.70063},
     research_tag = {AI in Education},
     research_url = {/projects/#ai-in-education},
   }

3. 

   Sentiment matters: An analysis of 200 human-sav interactions

   Lirui Guo, Michael G. Burke, and Wynita M. Griggs

   In Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITSC), Nov 2025

   Bib PDF HTML PhD Research

   @inproceedings{guo2025sentiment,
     title = {Sentiment matters: An analysis of 200 human-sav interactions},
     author = {Guo, Lirui and Burke, Michael G. and Griggs, Wynita M.},
     booktitle = {Proceedings of the IEEE International Conference on Intelligent Transportation Systems (ITSC)},
     year = {2025},
     address = {Gold Coast, Australia},
     month = nov,
     url = {https://ieeexplore.ieee.org/document/11423422},
     research_tag = {PhD Research},
     research_url = {/projects/#phd},
   }

4. 

   Exploring human-SAV interaction using large language models: The impact of psychological factors on user experience

   Lirui Guo, Michael G. Burke, and Wynita M. Griggs

   arXiv preprint arXiv:2504.16548, 2025

   Bib PDF HTML PhD Research

   @article{guo2025exploring,
     title = {Exploring human-SAV interaction using large language models: The impact of psychological factors on user experience},
     author = {Guo, Lirui and Burke, Michael G. and Griggs, Wynita M.},
     journal = {arXiv preprint arXiv:2504.16548},
     year = {2025},
     url = {https://arxiv.org/abs/2504.16548},
     research_tag = {PhD Research},
     research_url = {/projects/#phd},
   }

2024

1. 

   Use of large language models in engineering education: A case study on infrastructure design report introductions

   Linxin Hua, Nan Zheng, Y Lu, Lirui Guo, and J Xu

   In Proceedings of the 35th Australasian Association for Engineering Education (AAEE) Annual Conference, 2024

   Bib PDF HTML AI in Education

   @inproceedings{hua2024use,
     title = {Use of large language models in engineering education: A case study on infrastructure design report introductions},
     author = {Hua, Linxin and Zheng, Nan and Lu, Y and Guo, Lirui and Xu, J},
     booktitle = {Proceedings of the 35th Australasian Association for Engineering Education (AAEE) Annual Conference},
     year = {2024},
     address = {Christchurch, New Zealand},
     url = {https://easychair.org/publications/preprint/XpQv},
     research_tag = {AI in Education},
     research_url = {/projects/#ai-in-education},
   }