200 Human–SAV Interactions: Dialogues & Surveys

A dataset of 2,136 human–SAV chat exchanges, 200 post-interaction surveys, and 50 interview transcripts, released alongside two benchmark case studies. All data are anonymised and licensed under CC BY 4.0.This dataset has already supported two papers:1. Dataset introduction & benchmark case studies:Guo, L., Burke, M. G., & Griggs, W. M. (2025). Sentiment Matters: An Analysis of 200 Human–SAV Interactions, IEEE International Intelligent Transportation Systems Conference (ITSC), Gold Coast, Australia, DOI pending.2. In-depth analysis of prompt effects & qualitative insights:Guo, L., Burke, M. G., & Griggs, W. M. (2025). Exploring human-SAV interaction using large language models: The impact of psychological ownership and anthropomorphism on user experience. arXiv preprint arXiv:2504.16548.Licence & CitationLicenceCreative Commons Attribution 4.0 International (CC BY 4.0)How to citeIf you publish work using this dataset, please cite both:1. The dataset itself Guo, L., Burke, M. G., & Griggs, W. M. (2025). 200 Human–SAV Interactions: Dialogues & Surveys [Dataset]. Monash Bridges. https://doi.org/10.26180/294864472. The accompanying paper Guo, L., Burke, M. G., & Griggs, W. M. (2025). Sentiment Matters: An Analysis of 200 Human–SAV Interactions, IEEE International Intelligent Transportation Systems Conference (ITSC), Gold Coast, Australia, DOI pending.@dataset{guo2025_savdataset, author = {Guo, Lirui and Burke, Michael G. and Griggs, Wynita M.}, title = {Human–SAV Interaction Dataset}, year = {2025}, note = {Monash Bridges Repository}, doi = {10.26180/29486447}}@inproceedings{guo2025_itsc, author = {Guo, Lirui and Burke, Michael G. and Griggs, Wynita M.}, title = {Sentiment Matters: An Analysis of 200 Human--SAV Interactions}, booktitle = {IEEE Intelligent Transportation Systems Conference (ITSC)}, year = {2025}, address = {Gold Coast, Australia}, doi = {10.1109/ITSC.2025.XXXXXXX} % Replace upon assignment}