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首页> 外文会议>International Conference on Affective Computing and Intelligent Interaction(ACII 2007); 20070912-14; Lisbon(PT) >Entertainment Modeling in Physical Play Through Physiology Beyond Heart-Rate
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Entertainment Modeling in Physical Play Through Physiology Beyond Heart-Rate

机译：通过超出心率的生理活动进行体育游戏中的娱乐建模

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摘要

An investigation into capturing the relation of physiology, beyond heart rate recording, to expressed preferences of entertainment in children's physical gameplay is presented in this paper. An exploratory survey experiment raises the difficulties of isolating elements derived (solely) from heart rate recordings attributed to reported entertainment and a control experiment for surmounting those difficulties is proposed. Then a survey experiment on a larger scale is devised where more physiological signals (Blood Volume Pulse and Skin Conductance) are collected and analyzed. Given effective data collection a set of numerical features is extracted from the child's physiological state. A preference learning mechanism based on neuro-evolution is used to construct a function of single physiological features that models the players' notion of 'fun' for the games under investigation. Performance of the model is evaluated by the degree to which the preferences predicted by the model match those expressed by the children. Results indicate that there appears to be increased mental/emotional effort in preferred games of children.
机译：本文提出了一项对捕获心率记录以外的生理关系与儿童的物理游戏玩法所表达的娱乐偏好之间关系的研究。探索性调查实验提出了隔离（仅）源自心率记录的归因于娱乐报道的元素的困难，并提出了克服这些困难的控制实验。然后，设计了一个更大规模的调查实验，其中收集并分析了更多的生理信号（血液脉冲和皮肤电导）。给定有效的数据收集，将从儿童的生理状态中提取出一组数字特征。使用基于神经进化的偏好学习机制来构建单个生理特征的功能，该功能为正在调查的游戏模拟玩家的“乐趣”概念。通过模型预测的偏好与孩子表达的偏好匹配的程度来评估模型的性能。结果表明，在儿童喜欢的游戏中似乎增加了精神/情绪上的努力。

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