SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players

SENSEI: An Intelligent Advisory System for the eSport Community and Casual Players
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SENSEI:面向电子竞技社区和休闲玩家的智能咨询系统

DOI:
10.1109/wi.2018.00010
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发表时间:
2018
期刊:
2018 IEEE/WIC/ACM International Conference on Web Intelligence (WI)
影响因子:
--
通讯作者:
K. Stencel
K. Stencel
中科院分区:
--
文献类型:
--
作者:
Andrzej Janusz;D. Ślęzak;Sebastian Stawicki;K. Stencel

文献摘要

被引文献

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在本文中,我们将描述SENSEI系统。它可以帮助玩家在流行的电子竞技游戏中提高他们的技能。我们讨论了该系统的主要目标,并解释了相关的挑战。我们还介绍了其概念架构,旨在实现数据采集和分析过程的完全自动化。该系统有望对球员的表现进行深入分析,并就可能的改进提出切实可行的建议。因此,它的架构允许玩家提供反馈并手动标记重要概念。最后,我们将讨论我们的第一个案例研究——流行的卡牌电子游戏的咨询系统。
In this article, we describe the SENSEI system. It helps players to improve their skills in popular eSports games. We discuss the main goals of the system and explain the associated challenges. We also present its conceptual architecture which aims at enabling full automation of the data acquisition and analytic processes. The system is expected to provide in-depth analytics of players' performance and give practical advice regarding possible improvements. Thus its architecture allows players to provide feedback and manually label important concepts. Finally, we discuss our first case study - an advisory system for popular collectible card video games.