Abstract
Intelligent vehicles have been widely applied in the industry, academia, and our daily lives, to complete various tasks. However, existing AI that drives intelligent vehicles sometimes falls short as they may not ensure completeness or optimality, leading to issues like local optima or infinite loops. In response to these limitations, we proposed a user interface design for online crowdsourcing tasks, which enables collaborations between crowd workers and intelligent vehicles. This design aims to bolster existing intelligent vehicles’ AI with human intelligence as external support, while also leveraging AI predictions to minimize human effort. This research provides significant insights into the design of collaborative systems that effectively integrate human and artificial intelligence.
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Notes
- 1.
The video of the designed interface can be found at https://osf.io/4e8pb/.
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Acknowledgement.
This work is supported by the National Natural Science Foundation of China (no. 62202477).
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Zhao, Y., Ji, Y., Qiu, S., Zhu, Z., Ju, R. (2024). A User Interface Design for Collaborations Between Humans and Intelligent Vehicles. In: Stefanidis, K., Systä, K., Matera, M., Heil, S., Kondylakis, H., Quintarelli, E. (eds) Web Engineering. ICWE 2024. Lecture Notes in Computer Science, vol 14629. Springer, Cham. https://doi.org/10.1007/978-3-031-62362-2_32
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DOI: https://doi.org/10.1007/978-3-031-62362-2_32
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