系统仿真学报 ›› 2018, Vol. 30 ›› Issue (7): 2761-2766.doi: 10.16182/j.issn1004731x.joss.201807041
向南1,2, 朱凌云1,2,*, 尚思为1
收稿日期:
2017-08-10
出版日期:
2018-07-10
发布日期:
2019-01-08
作者简介:
向南(1984-),男,陕西旬阳,博士,副教授,研究方向为情感计算,人群仿真。
基金资助:
Xiang Nan1,2, Zhu Lingyun1,2,*, Shang Siwei1
Received:
2017-08-10
Online:
2018-07-10
Published:
2019-01-08
摘要: 为了提高用户在进行严肃游戏的沉浸体验,研究游戏过程中的社交因素对游戏体验的影响权重。划分游戏体验的维度并将能够影响用户体验的游戏过程中的社交事件按照体验维度进行归类,利用霍克斯过程模拟这些事件对用户游戏沉浸体验的影响过程,通过最大后验概率估计和用户的体验强度反求出各种社交事件的权重。系统利用游戏中用户面部表情直接计算游戏体验的强度,面部表情的类别通过训练隐马可夫模型进行识别。实验显示,本方法能够有效计算影响用户游戏体验的社交事件权重并提高游戏的可控性。
中图分类号:
向南, 朱凌云, 尚思为. 基于Hawkes的游戏沉浸体验中的社交因素分析[J]. 系统仿真学报, 2018, 30(7): 2761-2766.
Xiang Nan, Zhu Lingyun, Shang Siwei. Hawkes Based Analysis of Social Interaction Factors in Game Immersion Experience[J]. Journal of System Simulation, 2018, 30(7): 2761-2766.
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