基于变异系数的游戏用户体验度量方法研究
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摘要
目的对角色扮演游戏过程中被试的行为进行分析。探索和建立一种符合不同需求的游戏用户体验的研究方法,为角色扮演游戏设计和评价提供客观依据。方法通过预实验确定具体研究内容,通过眼动技术研究游戏提示的可用性。采用基于行为观察和自我报告的度量研究方法,通过新手—专家范式对实验结果进行分析。眼动数据结果基本符合大众认知,同时也受游戏设置的影响。对于游戏的评价很大程度上受游戏的战斗效果和难易度设置影响。变异系数反映了被试组内和组间的差异,新手与专家间表现的差异,反映了游戏的难度特征及游戏本身特性。结论利用变异系数研究新手组和专家组在游戏中的不同表现,可以综合体现难易度和用户表现之间的关系。
The paper aims to analyze the user's behavior of subjects in the role playing game(RPG), explore and establish a research method of game user experience that meets different needs, so as to provide an objective basis for design and evaluation of RPG. The specific content of the study was determined through pre-experiment. The usability of the game cue was studied through the eye-track technology. The experimental result was analyzed through novice-expert paradigm based on behavior observation and self–report. The eye-track data were basically consistent with the public cognition, but were also influenced by the game design itself. Evaluation on a game was largely influenced by the game's combat effect and difficulty setting effect. CV(coefficient of variability) was a good reflection of the differences between group and the differences in group. The difference between the novice and the expert reflects the difficulty level characteristics and other design characteristics of the game. Studying different behaviors of expert group and novice group in the game through CV can reflect the relationship between the difficulty level and user performance.
The paper aims to analyze the user's behavior of subjects in the role playing game(RPG), explore and establish a research method of game user experience that meets different needs, so as to provide an objective basis for design and evaluation of RPG. The specific content of the study was determined through pre-experiment. The usability of the game cue was studied through the eye-track technology. The experimental result was analyzed through novice-expert paradigm based on behavior observation and self–report. The eye-track data were basically consistent with the public cognition, but were also influenced by the game design itself. Evaluation on a game was largely influenced by the game's combat effect and difficulty setting effect. CV(coefficient of variability) was a good reflection of the differences between group and the differences in group. The difference between the novice and the expert reflects the difficulty level characteristics and other design characteristics of the game. Studying different behaviors of expert group and novice group in the game through CV can reflect the relationship between the difficulty level and user performance.
引文
[1]赫伊津哈.游戏的人[M].杭州:中国美术学院出版社,1996.JOHAN H.Study of the Play-element in Culture[M].Hangzhou:The China Academy of Art Press,1996.
[2]新华网.2015年全球电子游戏收入排行榜出炉:LOL登顶COC居次[EB\OL].http://news.xinhuanet.com/info/2016-01/28/c_135050057.htm Xinhua Net.2015 global video game revenue list:LOLtop COC in[EB\OL].http://news.xinhuanet.com/info/2016-01/28/c_135050057.htm
[3]中国音像与数字出版协会游戏出版工作委员会.2015年中国游戏产业报告[M].北京:中国书籍出版社,2015.Chinese Video and Digital Publishing Association Game Publishing Committee.China Game Industry Report[M].Beijing:China Book Publishing House,2015.
[4]MICHAEL D,KICKMEIER R.Tracking the UFO's Paths:Using Eye-Tracking for the Evaluation of Serious Games[M].USA:Orlando,2011.
[5]米哈里·契克森米哈赖.生命的心流[M].北京:中信出版社,2009.MIHALY C.Finding Flow the Psychology of Engagement with Everyday Life[M].Beijing:CITIC Press,2009.
[6]RICHARD D J.The Nature of Engagement and Its Role in Hypermedia Evaluation and Design[D].London:South Bank University,1996.
[7]王文森.变异系数--一个衡量离散程度简单而有用的统计指标[J].中国统计,2007(6):41-42.WANG Wen-Sen.Coefficient of Variation:a Statistical Indicator of the Simple and Useful Degree of Dispersion[J].China Statistics,2007(6):41-42.
[8]吴晓琪.基于行业工资的居民收入差距研究[J].工业技术经济,2018(3):137-146WU Xiao-qi.Resident Income Difference Analysis Based on Industrial Salary[J].Industrial Technology&Economy,2018(3):137-146.
[9]郑显亮,顾海根.大学生网络利他行为和网络行为偏好的关系:班级环境的作用[J].心理与行为研究,2013,11(5):690-696.ZHENG Xian-liang,GU Hai-gen.The Relationship between Online Altruistic Behavior and Behavioral Preference of College Students:the Role of Classroom Environment[J].Psychological and Behavioral Research,2013,11(5):690-696.
[10]崔运坤,贾燕,张英波,等.知觉预测领域专家--新手研究范式的元分析[J].北京体育大学学报,2016,39(4):109-117.CUI Yun-kun,JIA Yan,ZHANG Ying-bo,et al.Analysis on the Meta-analysis of Novice Research Paradigm in the Field of Perceptual Prediction[J].Journal of Beijing Sports University,2016,39(4):109-117.
[11]闫国利,熊建平.阅读研究中的主要眼动指标评述[J].心理科学进展,2013,21(4):589-605.YAN Guo-li,XIONG Jian-ping.Commented on the Main Indexes of Eye Movement of Reading Research[J].Advances in Psychological Science,2013,21(4):589-605.
[12]ESRB.Rating Information[EB\OL].http://www.esrb.org/ratings/search.aspx?from=home&titleOrPublisher=tomb%20raider.
[13]金瑜.心理测量[M].上海:华东师范大学出版社,2005.JIN Yu.Psychometrics[M].Shanghai:East China Normal University Press,2005.
[14]汤晓静,庹素馨,孙丽君,等.加强医学生情绪智力和自我效能感培养的重要意义[J].卫生职业教育,2017,35(14):63-64.TANG Xiao-jing,TUO Su-xin,SUN Li-jun,et al.Important Significance of Strengthening the Emotional Intelligence and Self-efficacy of Medical Students[J].Health Profession Education,2017,35(14):63-64.
[15]潘彦谷,刘衍玲.共情的神经生物基础[J].心理科学进展,2012,20(12):2011-2021.PAN Yan-gu,LIU Yan-ling.Empathic Neurobiological Basis[J].Progress in Psychological Science,2012,20(12):2011-2021.
[2]新华网.2015年全球电子游戏收入排行榜出炉:LOL登顶COC居次[EB\OL].http://news.xinhuanet.com/info/2016-01/28/c_135050057.htm Xinhua Net.2015 global video game revenue list:LOLtop COC in[EB\OL].http://news.xinhuanet.com/info/2016-01/28/c_135050057.htm
[3]中国音像与数字出版协会游戏出版工作委员会.2015年中国游戏产业报告[M].北京:中国书籍出版社,2015.Chinese Video and Digital Publishing Association Game Publishing Committee.China Game Industry Report[M].Beijing:China Book Publishing House,2015.
[4]MICHAEL D,KICKMEIER R.Tracking the UFO's Paths:Using Eye-Tracking for the Evaluation of Serious Games[M].USA:Orlando,2011.
[5]米哈里·契克森米哈赖.生命的心流[M].北京:中信出版社,2009.MIHALY C.Finding Flow the Psychology of Engagement with Everyday Life[M].Beijing:CITIC Press,2009.
[6]RICHARD D J.The Nature of Engagement and Its Role in Hypermedia Evaluation and Design[D].London:South Bank University,1996.
[7]王文森.变异系数--一个衡量离散程度简单而有用的统计指标[J].中国统计,2007(6):41-42.WANG Wen-Sen.Coefficient of Variation:a Statistical Indicator of the Simple and Useful Degree of Dispersion[J].China Statistics,2007(6):41-42.
[8]吴晓琪.基于行业工资的居民收入差距研究[J].工业技术经济,2018(3):137-146WU Xiao-qi.Resident Income Difference Analysis Based on Industrial Salary[J].Industrial Technology&Economy,2018(3):137-146.
[9]郑显亮,顾海根.大学生网络利他行为和网络行为偏好的关系:班级环境的作用[J].心理与行为研究,2013,11(5):690-696.ZHENG Xian-liang,GU Hai-gen.The Relationship between Online Altruistic Behavior and Behavioral Preference of College Students:the Role of Classroom Environment[J].Psychological and Behavioral Research,2013,11(5):690-696.
[10]崔运坤,贾燕,张英波,等.知觉预测领域专家--新手研究范式的元分析[J].北京体育大学学报,2016,39(4):109-117.CUI Yun-kun,JIA Yan,ZHANG Ying-bo,et al.Analysis on the Meta-analysis of Novice Research Paradigm in the Field of Perceptual Prediction[J].Journal of Beijing Sports University,2016,39(4):109-117.
[11]闫国利,熊建平.阅读研究中的主要眼动指标评述[J].心理科学进展,2013,21(4):589-605.YAN Guo-li,XIONG Jian-ping.Commented on the Main Indexes of Eye Movement of Reading Research[J].Advances in Psychological Science,2013,21(4):589-605.
[12]ESRB.Rating Information[EB\OL].http://www.esrb.org/ratings/search.aspx?from=home&titleOrPublisher=tomb%20raider.
[13]金瑜.心理测量[M].上海:华东师范大学出版社,2005.JIN Yu.Psychometrics[M].Shanghai:East China Normal University Press,2005.
[14]汤晓静,庹素馨,孙丽君,等.加强医学生情绪智力和自我效能感培养的重要意义[J].卫生职业教育,2017,35(14):63-64.TANG Xiao-jing,TUO Su-xin,SUN Li-jun,et al.Important Significance of Strengthening the Emotional Intelligence and Self-efficacy of Medical Students[J].Health Profession Education,2017,35(14):63-64.
[15]潘彦谷,刘衍玲.共情的神经生物基础[J].心理科学进展,2012,20(12):2011-2021.PAN Yan-gu,LIU Yan-ling.Empathic Neurobiological Basis[J].Progress in Psychological Science,2012,20(12):2011-2021.