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200 Human–SAV Interactions: Dialogues & Surveys

Version 2 2025-10-13, 04:48
Version 1 2025-10-09, 10:34
dataset
posted on 2025-10-13, 04:48 authored by Lirui GuoLirui Guo, Wynita Griggs, Michael BurkeMichael Burke
<p dir="ltr"><i>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.</i></p><h2>This dataset has already supported two papers:</h2><h4><b>1. Dataset introduction & benchmark case studies:</b></h4><p dir="ltr">Guo, L., Burke, M. G., & Griggs, W. M. (2025). Sentiment Matters: An Analysis of 200 Human–SAV Interactions, <i>IEEE International Intelligent Transportation Systems Conference (ITSC), Gold Coast, Australia</i>, DOI pending.</p><h4>2. In-depth analysis of prompt effects & qualitative insights:</h4><p dir="ltr">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.</p><h2>Licence & Citation</h2><h3><b>Licence</b></h3><p dir="ltr">Creative Commons Attribution 4.0 International (CC BY 4.0)</p><h3><b>How to cite</b></h3><p dir="ltr">If you publish work using this dataset, please cite <b>both</b>:</p><p dir="ltr"><b>1. The dataset itself </b></p><ul><li>Guo, L., Burke, M. G., & Griggs, W. M. (2025). <i>200 Human–SAV Interactions: Dialogues & Surveys</i> [Dataset]. Monash Bridges. https://doi.org/10.26180/29486447</li></ul><p dir="ltr"><b>2. The accompanying paper </b></p><ul><li>Guo, L., Burke, M. G., & Griggs, W. M. (2025). Sentiment Matters: An Analysis of 200 Human–SAV Interactions, <i>IEEE International Intelligent Transportation Systems Conference (ITSC), Gold Coast, Australia</i>, DOI pending.</li></ul><p dir="ltr"><br></p><p dir="ltr">@dataset{guo2025_savdataset,</p><p dir="ltr"> author = {Guo, Lirui and Burke, Michael G. and Griggs, Wynita M.},</p><p dir="ltr"> title = {Human–SAV Interaction Dataset},</p><p dir="ltr"> year = {2025},</p><p dir="ltr"> note = {Monash Bridges Repository},</p><p dir="ltr"> doi = {10.26180/29486447}</p><p>}</p><p dir="ltr"><br></p><p dir="ltr">@inproceedings{guo2025_itsc,</p><p dir="ltr"> author = {Guo, Lirui and Burke, Michael G. and Griggs, Wynita M.},</p><p dir="ltr"> title = {Sentiment Matters: An Analysis of 200 Human--SAV Interactions},</p><p dir="ltr"> booktitle = {IEEE Intelligent Transportation Systems Conference (ITSC)},</p><p dir="ltr"> year = {2025},</p><p dir="ltr"> address = {Gold Coast, Australia},</p><p dir="ltr"> doi = {10.1109/ITSC.2025.XXXXXXX} % Replace upon assignment</p><p>}</p>

Funding

This work was supported by an Australian Government Research Training Program (RTP) Scholarship.

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