修订报告

Uroš Lajovic
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引用次数: 1

摘要

我们要感谢我们的牧羊人和匿名审稿人,他们的仔细和有见地的评论,帮助我们提高了论文的整体质量。为了遵守牧羊人的指导和审稿人的意见,我们对论文进行了修改。论文中修改过的部分用红色标出。我们对六个类别的修订摘要如下。1 HOP作为一种新颖的贡献被夸大了。审稿人和shepherd正确地指出,HOPs并不是一种全新的方法,它与一些现有的方法类似。为了解决这些意见,我们在第1节和第7节中重新表述了hop的描述,并在第1节和第6节中提到了hop与现有方法之间的联系。对啤酒花的描述进行了重新表述,以便在第1节第4段和第7节第1段中不再将啤酒花描述为“新的”或“新颖的”。在第1节第4段的介绍中提到了啤酒花和行为生物识别技术之间的联系,并在第6.2节第1段的相关工作中再次提到了这一点。提供关于实验的更准确的细节。审稿人和shepherd对论文中没有讨论的几个实验细节进行了评论。为了解决这些评论,我们在3.2节中添加了更多关于人口统计,实验设置,游戏中执行的任务,人类角色,bot角色和bot配置文件的细节。总共增加了三个新段落:30名人类玩家的人口统计数据详见3.2节第2段。详细信息包括年龄、性别和电脑游戏经验。2. 实验设置将在3.2节第3段中进一步详细说明。这些细节包括收集痕迹的地点,即在实验室或玩家的家用电脑上,人类玩家在游戏中执行什么类型的任务,以及人类玩家的角色类别和级别。3.机器人配置文件和字符的详细信息见3.2节第4段。细节包括配置文件的位置如何不同,以及机器人的角色类别和级别。此外,我们在5.2节最后一段澄清了我们用BP神经网络进行实验的描述。最后,我们在第5节最后一段添加了两个新图表,以说明机器人和人类的决策时间分布。承认实验……
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Revision report
We would like to thank our shepherd and the anonymous reviewers for their careful and insightful comments , which helped us to improve the overall quality of the paper. We have revised the paper to comply with the guidance of the shepherd and the comments of the reviewers. The revised portions of the paper are highlighted in red. Our revisions for the six categories are summarized below. 1 HOP is overstated as a novel contribution. The reviewers and shepherd are right to point out that HOPs are not a completely new approach and are similar to some existing methods. To address these comments, we have rephrased the description of HOPs in Section 1 and 7 and mentioned the link between HOPs and existing methods in Sections 1 and 6. The description of HOPs is rephrased so that HOPs are no longer described as " new " or " novel " in Section 1, paragraph 4 and Section 7, paragraph 1. The link between HOPs and behavioral biometrics is now mentioned in the introduction in Section 1, paragraph 4 and again in the related work in Section 6.2, paragraph 1. 2 Provide more exact details about the experiment. The reviewers and shepherd commented on several details of the experiments that were not discussed in the paper. To address these comments, we have added more details on demographics, experimental setup, tasks performed in the game, human characters, bot characters, and bot profiles in Section 3.2. In total, three new paragraphs were added: 1. The demographics of the 30 human players are detailed in Section 3.2, paragraph 2. The details include age, gender, and computer gaming experience. 2. The experimental setup is further detailed in Section 3.2, paragraph 3. The details include where the traces were collected, i.e., in the lab or on the players' home computer, what types of tasks are performed by the human players in the game, and the human players' character classes and levels. 3. The bot profiles and characters are detailed in Section 3.2, paragraph 4. The details include how the locations of the profiles differ, and the bots' character classes and levels. Additionally, we have clarified the description of our experiments with BP neural networks in Section 5.2, last paragraph. Lastly, we have added two new graphs in Section 5, last paragraph to illustrate the distribution of decision time for bots and humans. 3 Acknowledge the experimental …
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