基于Hawkes的游戏沉浸体验中的社交因素分析

doi:10.16182/j.issn1004731x.joss.201807041

系统仿真学报 ›› 2018, Vol. 30 ›› Issue (7): 2761-2766.doi: 10.16182/j.issn1004731x.joss.201807041

基于Hawkes的游戏沉浸体验中的社交因素分析

向南^1,2, 朱凌云^1,2,*, 尚思为¹

1. 重庆理工大学两江国际学院,重庆 401135;
2. 重庆理工大学计算机学院,重庆 400054

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:
国家自然科学基金(61502064, 61502065),重庆市基础科学与前沿技术研究项目(cstc2017jcyj AX0089/BX0059)

Hawkes Based Analysis of Social Interaction Factors in Game Immersion Experience

Xiang Nan^1,2, Zhu Lingyun^1,2,*, Shang Siwei¹

1. Liangjiang International College, Chongqing University of Technology, Chongqing 401135, China;
2. School of Computer Science and Engineering, Chongqing University of Technology, Chongqing 400054, China

Received:2017-08-10 Online:2018-07-10 Published:2019-01-08

摘要/Abstract

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。

关键词: 游戏体验, 社交因素, 霍克斯过程, 隐马可夫模型

Abstract: In order to improve the user's immersion experience in serious games, the influence of social factors in game process on game experience was studied. Game experience dimensions were divided and the social interactions during the game were categorized according to the dimensions. Hawkes process was adopted to simulate the game experience generation process affected by the social interactions. According to the maximum likelihood estimation and the users’ experience we captured, the weights of the social interactions were calculated. The game experience intensity was calculated by users’ facial expressions which were recognized by the trained HMM (Hidden Markov Model). Experimental results showed that the social interaction factors’ weights can be effectively calculated and the controllability of game experience can be improved by the provided method.

Key words: serious game experiences, social interaction factors, Hawkes process, HMM

中图分类号:

TP391.9

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.

参考文献

[1] Hudlicka E.Affective game engines:motivation and requirements[C]//International Conference on Foundations of Digital Games, Orlando, Florida, USA, 2009: 299-306.
[2] 张国华, 雷雳. 青少年网络游戏体验量表的初步编制及信效度分析[J]. 中华行为医学与脑科学杂志, 2015, 24(1): 84-87.
Zhang Guohua, Lei Li.Development and reliability and validity of the adolescent online game experience scale[J]. Chinese Journal of Behavioral Medicine and Brain Science, 2015, 24(1): 84-87.
[3] Shang H H, Wen M H, Wu M C.Exploring user experiences as predictors of MMORPG addiction[J]. Computers & Education(S0360-1315), 2009, 53(3): 990-999.
[4] 张国华, 雷雳. 网络游戏体验的概念、测量及相关因素[J]. 心理与行为研究, 2016, 14(3): 411-419.
Zhang Guohua, Lei Li.Online Game Experience: Concept, Measurement and Related Factors[J]. Studies of Psychology and Behavior, 2016, 14(3): 411-419.
[5] Yannakakis G N.Game adaptivity impact on affective physical interaction[C]//International Conference on Affective Computing and Intelligent Interaction and Workshops. IEEE, 2009: 1-6.
[6] Nogueira P A, Torres V, Rui R, et al.Vanishing scares: biofeedback modulation of affective player experiences in a procedural horror game[J]. Journal on Multimodal User Interfaces(S1783-8738), 2015, 73(2851): 1-32.
[7] Parnandi A, Gutierrez-Osuna R.A comparative study of game mechanics and control laws for an adaptive physiological game[J]. Journal on Multimodal User Interfaces(S1783-8738), 2014, 9(1): 31-42.
[8] Mäyrä F, Ermi L.Fundamental components of the gameplay experience[C]//Digital Games Research Association’s Second International Conference, 2005: 15-27.
[9] Bontchev B.Adaptation in Affective Video Games: A Literature Review[J]. Cybernetics & Information Technologies(S1314-4081), 2016, 16(3): 3-34.
[10] Soutter A R B, Hitchens M. The relationship between character identification and flow state within video games[J]. Computers in Human Behavior (S0747-5632), 2016, 55: 1030-1038.
[11] Michalik L.Stretching the Code: Sexual Performances and Online Gaming Economies[J]. Liminalities (S1557-2935), 2015, 11(1): 1-24.
[12] Courtois C.Player Identification in Online Games: Validation of a Scale for Measuring Identification in MMOGs[J]. Media Psychology(S1521-3269), 2012, 15(2): 197-221.
[13] Annie Jin S A. “My Avatar Behaves Well and this Feels Right” Ideal and Ought Selves in Video Gaming[J]. Social Behavior & Personality An International Journal(S0301-2212), 2011, 39(9): 1175-1182.
[14] Zumbach J, Seitz C, Bluemke M.Impact of violent video game realism on the self-concept of aggressiveness assessed with explicit and implicit measures[J]. Computers in Human Behavior(S0747-5632), 2015, 53(C): 278-288.
[15] Lv Z, Halawani A, Feng S, et al.Touch-less interactive augmented reality game on vision-based wearable device[J]. Personal & Ubiquitous Computing (S1617-4909), 2015, 19(3/4): 551-567.
[16] 于岩, 陈鸿昶, 于洪涛. 基于霍克斯过程的社交网络用户关系强度模型[J]. 电子学报, 2016, 44(6): 1362-1368.
Yu Yan, Chen H C, Yu Hongtao.A SociaI Networks User ReIationship Strength ModeI Based on Hawkes Process[J]. Acta Electronica Sinica, 2016, 44(6): 1362-1368.
[17] 韩忠明, 张梦, 谭旭升, 等. 基于自激点过程的网络热点话题传播模型[J]. 计算机学报, 2016, 39(4): 704-716.
Han Zhongming, Zhang Meng, Tan Xusheng, et al.An Efficient Topic Propagation Model Based on Self-Exciting Point Process[J]. Chinese Journal of Computers, 2016, 39(4): 704-716.
[18] Zhang M, Zhou X, Xiang N, et al.Expression sequences generator for synthetic emotion[J]. Journal on Multimodal User Interfaces(S1783-8738), 2011, 5(1/2): 19-25.

基于Hawkes的游戏沉浸体验中的社交因素分析

Hawkes Based Analysis of Social Interaction Factors in Game Immersion Experience

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics

本文评价

[1]	李智杰, 石昊琦, 李昌华, 张颉. 基于改进遗传算法的影像中心布局优化方法[J]. 系统仿真学报, 2022, 34(6): 1173-1184.
[2]	陈斌, 刘悦, 杨亚磊. 基于STN的机场航班过站保障时间协同规划建模[J]. 系统仿真学报, 2022, 34(6): 1196-1207.
[3]	杨凯, 陈纯毅, 胡小娟, 于海洋. 蒙卡渲染画面多特征非局部均值滤波降噪算法[J]. 系统仿真学报, 2022, 34(6): 1259-1266.
[4]	陈麒, 崔昊杨. 基于改进鸽群层级的无人机集群视觉巡检模型[J]. 系统仿真学报, 2022, 34(6): 1275-1285.
[5]	王沐晴, 张磊, 范秀敏, 骆晓萌, 朱文敏. VR外设驱动的虚拟人姿态优化仿真方法[J]. 系统仿真学报, 2022, 34(6): 1296-1303.
[6]	陆承, 靳学胜. 基于Steam VR的交互仿真水枪灭火训练系统设计[J]. 系统仿真学报, 2022, 34(6): 1312-1319.
[7]	高宏鼐, 付丽疆, 夏倩, 郭亚. 可观测度在光合作用模型性能评估中的应用[J]. 系统仿真学报, 2022, 34(6): 1330-1342.
[8]	倪凌佳, 黄晓霞, 李红旮, 张子博. 基于协作式深度强化学习的火灾应急疏散仿真研究[J]. 系统仿真学报, 2022, 34(6): 1353-1366.
[9]	蒙盾, 胡卓, 张华军. 基于改进A^*算法的多层邮轮疏散系统仿真[J]. 系统仿真学报, 2022, 34(6): 1375-1382.
[10]	郭宇飞, 赵康, 海永清. 面向有限元分析的三角网格布尔运算方法[J]. 系统仿真学报, 2022, 34(5): 1003-1014.
[11]	吴桐, 王清辉, 徐志佳. 三周期极小曲面多孔材料渗透率尺度特性研究[J]. 系统仿真学报, 2022, 34(5): 1015-1024.
[12]	蒋阳升, 王思琛, 高宽, 刘梦, 姚志洪. 混入智能网联车队的混合交通流元胞自动机模型[J]. 系统仿真学报, 2022, 34(5): 1025-1032.
[13]	梁江涛, 王慧琴. 基于改进蚁群算法的建筑火灾疏散路径规划研究[J]. 系统仿真学报, 2022, 34(5): 1044-1053.
[14]	张其文, 张斌. 基于教学优化算法求解置换流水车间调度问题[J]. 系统仿真学报, 2022, 34(5): 1054-1063.
[15]	邢根上, 鲁芳, 李书山, 罗定提. 基于产品体验性的供应链交货模型与仿真研究[J]. 系统仿真学报, 2022, 34(5): 1064-1075.