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首页> 外文期刊>Journal of Behavioral Decision Making >An Eye-tracking Study on Information Processing in Risky Decisions: Evidence for Compensatory Strategies Based on Automatic Processes
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An Eye-tracking Study on Information Processing in Risky Decisions: Evidence for Compensatory Strategies Based on Automatic Processes

机译:风险决策中信息处理的眼动研究:基于自动过程的补偿策略的证据

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Many everyday decisions have to be made under risk and can be interpreted as choices between gambles with different outcomes that are realized with specific probabilities. The underlying cognitive processes were investigated by testing six sets of hypotheses concerning choices, decision times, and information search derived from cumulative prospect theory, decision field theory, priority heuristic and parallel constraint satis-faction models. Our participants completed 40 decision tasks of two gambles with two non-negative outcomes each. Information search was recorded using eye-tracking technology. Results for choices, decision time, the amount of information searched for, fixation durations, the direction of the information search, and the distribution of fixations conflict with the prediction of the non-compensatory priority heuristic and indicate that individuals use compensatory strategies. Choice proportions are well in line with the predictions of cumulative prospect theory. Process measures indicate that individuals thereby do not rely on deliberate calculations of weighted sums. Infor-mation integration processes seem to be better explained by models that partially rely on automatic processes such as decision field theory or parallel constraint satisfaction models.
机译:许多日常决策必须在风险下做出,并且可以解释为在具有不同结果的赌博之间进行选择,这些结果以特定的概率实现。通过测试六组关于选择,决策时间和信息搜索的假设,研究了潜在的认知过程,这些假设涉及累积前景理论,决策领域理论,优先启发式和并行约束满足模型。我们的参与者完成了两次赌博的40个决策任务,每个任务都有两个非负结果。使用眼动追踪技术记录信息搜索。选择,决策时间,搜索的信息量,注视持续时间,信息搜索的方向以及注视的分布结果与非补偿性优先启发式算法的预测相冲突,表明个人使用了补偿性策略。选择比例与累积前景理论的预测非常吻合。过程度量表明,个人因此不依赖于加权和的故意计算。信息集成过程似乎可以用部分依赖自动过程的模型(例如决策域理论或并行约束满足模型)更好地解释。

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