Abstract
In this study, we develop and test a model that explains individuals’ behavioral changes in driving safety after viewing the visualizations, which depict their driving performance against that of artificial intelligence (AI). This study draws on the self-evaluation literature to understand performance comparisons and extends the self-evaluation perspective to the context of human-AI comparisons. Furthermore, this study illustrates that individuals can be incited emotionally by performance comparisons, and these emotional responses influence their driving behaviors subsequently. The results of this study generally support our model. Overall, this study sheds light on how competition between humans and computers can be utilized to promote desirable behaviors.
Recommended Citation
Li, Zhiyin and Choi, Ben, "Promoting Driving Safety with Self-Evaluation Maintenance: Human-Human and Human-Artificial Intelligence Performance Comparisons" (2023). PACIS 2023 Proceedings. 84.
https://aisel.aisnet.org/pacis2023/84
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Comments
Paper Number 1387; Track HCI; Complete Paper