School of Government and Public Transformation, Tecnologico de Monterrey, Mexico City, México.
Faculty of Higher Studies Iztacala, National Autonomous University of Mexico, Mexico City, Mexico.
PLoS One. 2023 Oct 5;18(10):e0290683. doi: 10.1371/journal.pone.0290683. eCollection 2023.
Recent advances in Computational Intelligence Tools and the escalating need for decision-making in the face of complex and uncertain phenomena like pandemics, climate change, and geopolitics necessitate understanding the interaction between these tools and human behavior. It is crucial to efficiently utilize the decision-makers cognitive resources in addressing specific problems.
The main goal of this present protocol is to describe the effect that CITs (Computational Intelligence Tools) have on decisions made during complex and uncertain situations. It is an exploratory study with a mixed methodology. Solomon's group experiment design includes a narrative analysis of cognitive features such as integrative complexity (IC), cognitive flexibility (CF), and fluid intelligence (FI). Additionally, measures of neural activity (NA), physiological measures (PM), and eye-tracking data (ET) will be collected during the experimental session to examine the marginal impact of these processes on decision outcomes (DO) and their relation to CIT capabilities. To achieve this objective, 120 undergraduate and graduate students involved in decision-making will participate as subjects. The approximate duration of the study will be 2 years. Strict adherence to the relevant ethical considerations will be maintained during the performance of the experimental tasks.
The study will provide valuable information on CITs' effect on decision-making under complex and uncertain contexts. This will help to better understand the link between technology and human behavior, which has important implications. CIT designers can use future results and at the same time, it will be possible to understand cognitive, behavioral, physiological processes, and even the subjective assessment of individuals when they use technological tools to solve a problem.
计算智能工具的最新进展以及面对复杂和不确定的现象（如大流行病、气候变化和地缘政治）需要决策，这使得理解这些工具与人类行为之间的相互作用变得至关重要。高效利用决策者的认知资源来解决特定问题是非常重要的。
本研究方案的主要目的是描述计算智能工具（CITs）在复杂和不确定情况下做出决策时的影响。这是一项探索性研究，采用混合方法。所罗门小组的实验设计包括对认知特征（如综合复杂性、认知灵活性和流体智力）的叙述性分析。此外，在实验过程中还将收集神经活动、生理测量和眼动追踪数据，以检验这些过程对决策结果的边际影响及其与 CIT 能力的关系。为了实现这一目标，将有 120 名参与决策的本科生和研究生作为研究对象。研究的大致持续时间为 2 年。在进行实验任务时，将严格遵守相关的伦理考虑。
该研究将提供有关计算智能工具在复杂和不确定背景下对决策的影响的宝贵信息。这将有助于更好地理解技术与人类行为之间的联系，这具有重要意义。计算智能工具的设计人员可以利用未来的研究成果，同时，当个体使用技术工具来解决问题时，还可以了解认知、行为、生理过程，甚至是个体的主观评估。
