Safety perception and pedestrian dynamics: Experimental results towards affective agents modeling

IF 1.4 4区 计算机科学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE AI Communications Pub Date : 2021-01-01 DOI:10.3233/AIC-201576
F. Gasparini, Marta Giltri, S. Bandini
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引用次数: 3

Abstract

The modeling of a new generation of agent-based simulation systems supporting pedestrian and crowd management taking into account affective states represents a new research frontier. Pedestrian behaviour involves human perception processes, based on subjective and psychological aspects. Following the concept of pedestrian environmental awareness, each walker adapts his/her crossing behaviour according to environmental conditions and his/her perception of safety. Different pedestrian behaviours can be related to subjective mobility and readiness to respond, and these factors are strongly dependent on the subjective interaction with the environment. Having additional inputs about pedestrian behaviour related to their perception processes could be useful in order to develop a more representative pedestrian dynamic model. In particular, the subjective perception of the safeness of crossing should be taken into consideration. In order to focus on the pedestrians’ perception of safe road crossing and walking, an experiment in an uncontrolled urban scenario has been carried out. Besides more conventional self-assessment questionnaires, physiological responses have been considered to evaluate the affective state of pedestrians during the interaction with the urban environment. Results from the analysis of the collected data show that physiological responses are reliable indicators of safety perception while road crossing and interacting with real urban environment, suggesting the design of agent-based models for pedestrian dynamics simulations taking in account the representation of affective states.
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安全感知与行人动力学:情感主体建模的实验结果
考虑情感状态的新一代基于智能体的行人和人群管理仿真系统的建模代表了一个新的研究前沿。行人的行为涉及人类的感知过程,基于主观和心理方面。遵循行人环境意识的概念,每个步行者根据环境条件和自己的安全感知来调整自己的过马路行为。不同的行人行为可能与主观移动性和反应准备程度有关,这些因素强烈依赖于与环境的主观互动。为了开发更具代表性的行人动态模型,对与其感知过程相关的行人行为进行额外的输入可能是有用的。尤其要考虑到人们对穿越安全的主观认知。为了关注行人对安全过马路和步行的感知,在一个不受控制的城市场景下进行了实验。除了传统的自我评估问卷,生理反应也被用来评估行人在与城市环境互动过程中的情感状态。数据分析结果表明,生理反应是行人过马路和与真实城市环境互动时安全感知的可靠指标,建议设计基于智能体的行人动态模拟模型,考虑情感状态的表征。
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来源期刊
AI Communications
AI Communications 工程技术-计算机:人工智能
CiteScore
2.30
自引率
12.50%
发文量
34
审稿时长
4.5 months
期刊介绍: AI Communications is a journal on artificial intelligence (AI) which has a close relationship to EurAI (European Association for Artificial Intelligence, formerly ECCAI). It covers the whole AI community: Scientific institutions as well as commercial and industrial companies. AI Communications aims to enhance contacts and information exchange between AI researchers and developers, and to provide supranational information to those concerned with AI and advanced information processing. AI Communications publishes refereed articles concerning scientific and technical AI procedures, provided they are of sufficient interest to a large readership of both scientific and practical background. In addition it contains high-level background material, both at the technical level as well as the level of opinions, policies and news.
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