基于相关和回归分析的CCI游戏化角色建模

Nor Haniza binti Mohd Khir, Marina Ismail, J. Ahmad
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引用次数: 1

摘要

细分在人物角色建模中起着重要的作用。大量的研究旨在发现更好的选择,以提高分割过程的准确性,使叙事写作将产生最佳的人物角色模型。在儿童电脑互动(CCI)中建立适合不同儿童行为、目标和态度的角色模型可能是困难的。在之前的数据收集阶段进行的访谈和观察表明,孩子们在玩游戏时有不同的期望,当被反复问同样的问题时,他们的情绪和态度会发生变化,有时他们不确定答案。因此,本文旨在利用相关和回归分析探讨认知和身体发育与社会/情感发展之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Persona Modelling via Correlation and Regression Analysis in CCI Gamification
Segmentation plays an important aspect in persona modelling. Numerous researches directed to discover better choices to improve the accuracy of the segmentation process so that the narrative writing will produce the best persona model. Modelling persona that suit the different children behaviors, goals and attitudes towards the use of gamification in Children Computer Interaction (CCI) might be difficult. Interviews and observations conducted during the data collection phase before show that children have different expectations when playing games and their emotions and attitudes change when asked the same questions repeatedly and sometimes, they are not sure of the answer. Thus, this paper aims to discuss the relationship between cognitive and physical development with social/emotional development using correlation and regression analysis.
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