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- W2528169933 abstract "The goal of this study is to explore which aspects of people’s analytical decision making are affected when exposed to music. To this end, we apply a stochastic sequential model of simple decisions, the drift-diffusion model (DDM), to understand risky decision behavior. Numerous studies have demonstrated that mood can affect emotional and cognitive processing, but the exact nature of the impact music has on decision making in quantitative tasks has not been sufficiently studied. In our experiment, participants decided whether to accept or reject multiple bets with different risk vs. reward ratios while listening to music that was chosen to induce positive or negative mood. Our results indicate that music indeed alters people’s behavior in a surprising way happy music made people make better choices. In other words, it made people more likely to accept good bets and reject bad bets. The DDM decomposition indicated the effect focused primarily on both the caution and the information processing aspects of decision making. To further understand the correspondence between auditory features and decision making, we studied how individual aspects of music affect response patterns. Our results are particularly interesting when compared with recent results regarding the impact of music on emotional processing, as they illustrate that music affects analytical decision making in a fundamentally different way, hinting at a different psychological mechanism that music impacts." @default.
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- W2528169933 date "2016-01-01" @default.
- W2528169933 modified "2023-09-26" @default.
- W2528169933 title "Impact of Music on Decision Making in Quantitative Tasks." @default.
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