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首页> 外文会议>Humaine Association Conference on Affective Computing and Intelligent Interaction >Modeling Framing Effects: Comparing an Appraisal-Based Model with Existing Models
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Modeling Framing Effects: Comparing an Appraisal-Based Model with Existing Models

机译：建模框架效果：将基于评估的模型与现有模型进行比较

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摘要

One significant challenge in creating accurate models of human decision behavior is accounting for the effects of context. Research shows that seemingly minor changes in the presentation of a decision can lead to shifts in behavior, phenomena collectively referred to as framing effects. This work presents a computational modeling analysis comparing the effectiveness of Context Dependent Utility, an appraisal-based approach to modeling the multi-dimensional effects of context on decision behavior, against Cumulative Prospect Theory, Security-Potential/Aspiration Theory, the Transfer of Attention Exchange model, and a power-based utility function. To contrast model performance, a non-linear least-squares analysis and subsequent calculation of Akaike Information Criterion scores, which take into account goodness of fit while penalizing for model complexity, are employed. Results suggest that multi-dimensional models of context and framing, such as Context Dependent Utility, can be much more accurate in modeling decisions which similarly involve multi-dimensional considerations of context. Furthermore, this work demonstrates the effectiveness of employing affective constructs, such as appraisal, for the encoding and evaluation of context within decision-theoretic frameworks to better model and predict human decision behavior.
机译：创建准确模型的人类决策行为模型的一个重大挑战是对上下文的影响。研究表明，决定的呈现中看似微小的变化可能导致行为转移，统称为框架效应的现象。该工作提出了计算建模分析，比较了上下文依赖效用的有效性，基于评估的方法来建立决策行为的多维效应，反对累积前景理论，安全潜力/抽吸理论，关注交换的转移模型，以及基于功率的实用程序功能。为了对比模型性能，采用非线性最小二乘分析和随后计算Akaike信息标准评分，这考虑了在惩罚模型复杂性的同时考虑拟合的良好。结果表明，上下文和帧的多维模型，例如上下文相关实用程序，在建模决策中可以更准确地涉及上下文的多维考虑。此外，这项工作展示了采用情感构建的有效性，例如评估，以便在决策 - 理论框架内进行编码和评估，以更好地模范和预测人类决策行为。

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