基于改良捷运(m-BART)的风险行为与决策结果调查

2015 International Conference on Affective Computing and Intelligent Interaction (ACII) Pub Date : 2015-09-21 DOI:10.1109/ACII.2015.7344587

Kemal Taskin, D. Gökçay

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引用次数: 1

摘要

对风险选择的反应被收集和分析成一个连续的、引人入胜的、可分解的风险承担任务;一个稍作修改的BART(气球模拟风险任务[1])。收集并分析整个实验过程中的瞳孔扩张数据，以了解参与者在风险选择下的生理表达。在实验之前，参与者还接受了一项调查，以监测个人的冒险态度。对反应的彻底分析表明，这是一个由冒险或厌恶状态组成的动态系统。从连续反应中提取的动态模型可预测受试者的瞳孔扩张率。这些发现可能会导致一个模型，融合情感和认知方面的风险不确定的决定。从调查中提取的自然风险倾向对结果没有统计学上显著的影响。

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Investigation of risk taking behavior and outcomes in decision making with modified BART (m-BART)

Responses to risky choices were collected and analyzed in a continuous, engaging and decomposable risk taking task; a slightly modified version of BART (Balloon Analog Risk Task [1]). Pupil dilation data throughout the experiment were collected and analyzed to understand participants' physiological expressions under risky choices. Participants were also administered a survey, prior to the experiment to monitor individual risk taking attitudes. A thorough analysis of responses indicated a dynamic system consisting of risk taking or aversive states. Participants' pupil dilation rates were predictable from this dynamical model abstracted from consecutive responses. These findings may lead to a model that fuses affective and cognitive aspects within risky uncertain decisions. Natural risk tendencies, extracted from the survey had no statistically significant effect on the results.

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2015 International Conference on Affective Computing and Intelligent Interaction (ACII)

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