SURPRISE! and When to Schedule It.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. Main Track. Pages 252-260.
https://doi.org/10.24963/ijcai.2021/36
Keywords
- Humans and AI: Human Computation and Crowdsourcing
- Agent-based and Multi-agent Systems: Algorithmic Game Theory
- Agent-based and Multi-agent Systems: Computational Social Choice
Abstract
Information flow measures, over the duration of a game, the audience’s belief of who will win, and thus can reflect the amount of surprise in a game. To quantify the relationship between information flow and audiences' perceived quality, we conduct a case study where subjects watch one of the world’s biggest esports events, LOL S10. In addition to eliciting information flow, we also ask subjects to report their rating for each game. We find that the amount of surprise in the end of the game plays a dominant role in predicting the rating. This suggests the importance of incorporating when the surprise occurs, in addition to the amount of surprise, in perceived quality models. For content providers, it implies that everything else being equal, it is better for twists to be more likely to happen toward the end of a show rather than uniformly throughout.
@inproceedings{ijcai2021p36,
title = {SURPRISE! and When to Schedule It.},
author = {Huang, Zhihuan and Xu, Shengwei and Shan, You and Lu, Yuxuan and Kong, Yuqing and Liu, Tracy Xiao and Schoenebeck, Grant},
booktitle = {Proceedings of the Thirtieth International Joint Conference on
Artificial Intelligence, {IJCAI-21}},
publisher = {International Joint Conferences on Artificial Intelligence Organization},
editor = {Prof. Zhi-Hua Zhou},
pages = {252--260},
year = {2021},
month = {8},
note = {Main Track},
doi = {10.24963/ijcai.2021/36},
url = {https://doi.org/10.24963/ijcai.2021/36},
}
TY - CPAPER TI - SURPRISE! and When to Schedule It. AU - Huang, Zhihuan AU - Xu, Shengwei AU - Shan, You AU - Lu, Yuxuan AU - Kong, Yuqing AU - Liu, Tracy Xiao AU - Schoenebeck, Grant T2 - Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, IJCAI-21 PB - International Joint Conferences on Artificial Intelligence Organization PY - 2021 SP - 252 EP - 260 DO - 10.24963/ijcai.2021/36 UR - https://doi.org/10.24963/ijcai.2021/36 ER -Copied
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