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Identifying instant utility using psychophysiological indicators in a transport experiment with ecological validity
Transportation ( IF 3.5 ) Pub Date : 2025-01-18 , DOI: 10.1007/s11116-025-10584-y
Bastian Henriquez-Jara, C. Angelo Guevara, Angel Jimenez-Molina

In this article, we formulate a hybrid model that allows to identify the triggers of instant utilities using psychophysiological indicators (PPIs). Instant utilities are understood as momentary emotions perceived in every instant of an experience. We build the model using transport and environmental variables associated with the experience to explain instant utilities, which are measured by PPIs and stated emotions. The model is estimated with data from a real-life travel experiment, in which SKT (skin temperature), HR (heart rate), HRV (heart rate variation), and EDA (electrodermal activity) were measured with a wristband. In addition, environmental variables such as CO2, noise, brightness, and temperature were collected and used to explain instant utility and to control for variation of PPIs. As emotions can be discomposed into at least two dimensions (valence and activation) we capture this multidimensionality estimating two independent models that explain the valence and activation of stated emotions. To analyse what is gained by including physiological data, these models are compared with baseline models without PPIs. Our main findings are: (1) instant utilities are sensible, for instance, to the travel mode; velocity; crowding; brightness; temperature; and humidity; (2) PPIs help to identify the effect of stimuli that cause small variations in the underlying emotions; and (3) instant utility has heterogeneous effects on PPIs across individuals, implying that it is necessary individuals-specific considerations to infer instant utility from PPIs. We discuss the potential applications of this framework in the evaluation of travel satisfaction and demand estimation.



中文翻译:


在具有生态效度的运输实验中使用心理生理指标确定即时效用



在本文中,我们制定了一个混合模型,允许使用心理生理指标 (PPI) 识别即时效用的触发因素。即时效用被理解为在体验的每一刻感知到的瞬间情绪。我们使用与体验相关的运输和环境变量来构建模型,以解释即时效用,这些效用是通过 PPI 和陈述的情绪来衡量的。该模型是使用真实旅行实验的数据估计的,其中 SKT(皮肤温度)、HR(心率)、HRV(心率变化)和 EDA(皮肤电活动)是用腕带测量的。此外,还收集了 CO2、噪声、亮度和温度等环境变量,并用于解释即时效用和控制 PPI 的变化。由于情绪可以分解为至少两个维度(效价和激活),我们捕捉了这种多维性,估计了两个独立的模型来解释陈述情绪的效价和激活。为了分析通过包含生理数据获得什么,将这些模型与没有 PPI 的基线模型进行了比较。我们的主要发现是:(1) 即时实用程序是明智的,例如,对于出行模式;速度;拥挤;亮度;温度;和湿度;(2) PPI 有助于识别导致潜在情绪发生微小变化的刺激的影响;(3) 即时效用对个体之间的 PPI 具有异质性影响,这意味着有必要根据个体特定因素从 PPI 推断即时效用。我们讨论了该框架在旅行满意度评估和需求估计方面的潜在应用。

更新日期:2025-01-18
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