比较年轻人对食物浪费的兴趣和对环境的关注:一种定性推理方法

IF 2.1 3区 心理学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Konstantina Zacharaki, Queralt Prat-i-Pubill, Jennifer Nguyen, Nil Agell, Núria Agell
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引用次数: 0

摘要

世界范围内产生的大量食物浪费突出表明迫切需要用新方法及时调查这一现象,以减少它。在目前的工作中,我们考虑一种定性推理方法,试图了解人们对食物浪费(FW)问题的兴趣。在这个方向上,我们进行了一次亲自品尝实验,并从310名参与者那里获得了数据。我们采用一种基于犹豫语言术语集(HLTS)的测量方法来捕捉个人对新环境范式量表(NEP)的反应时对环境的兴趣程度(Dunlap et al., 2000)。我们还根据参与者的反应计算出犹豫指数。此前,他们必须决定一块据称来自超市的水果是否比另一块据称来自其他来源(如旨在减少食物浪费的应用程序)的水果味道更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing food waste interests and environmental concerns in young adults: A qualitative reasoning approach
The large amount of food waste produced worldwide highlights the urgent need to investigate this phenomenon promptly with new methods in order to reduce it. In the present work, we consider a qualitative reasoning approach in an attempt to understand people’s interest in the food waste (FW) problem. In this direction, we run an in-person taste experiment and acquire data from 310 participants. We apply a measure based on hesitant linguistic terms sets (HLTS) to capture the degree of interest towards the environment as individuals respond to the New Environmental Paradigm scale (NEP) (Dunlap et al., 2000). We also calculate an index of hesitancy based on participants’ responses. Previously, they had to decide on whether a piece of fruit allegedly coming from the supermarket tastes better than another one allegedly coming from an alternative source such as applications designed to reduce food waste.
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来源期刊
Cognitive Systems Research
Cognitive Systems Research 工程技术-计算机:人工智能
CiteScore
9.40
自引率
5.10%
发文量
40
审稿时长
>12 weeks
期刊介绍: Cognitive Systems Research is dedicated to the study of human-level cognition. As such, it welcomes papers which advance the understanding, design and applications of cognitive and intelligent systems, both natural and artificial. The journal brings together a broad community studying cognition in its many facets in vivo and in silico, across the developmental spectrum, focusing on individual capacities or on entire architectures. It aims to foster debate and integrate ideas, concepts, constructs, theories, models and techniques from across different disciplines and different perspectives on human-level cognition. The scope of interest includes the study of cognitive capacities and architectures - both brain-inspired and non-brain-inspired - and the application of cognitive systems to real-world problems as far as it offers insights relevant for the understanding of cognition. Cognitive Systems Research therefore welcomes mature and cutting-edge research approaching cognition from a systems-oriented perspective, both theoretical and empirically-informed, in the form of original manuscripts, short communications, opinion articles, systematic reviews, and topical survey articles from the fields of Cognitive Science (including Philosophy of Cognitive Science), Artificial Intelligence/Computer Science, Cognitive Robotics, Developmental Science, Psychology, and Neuroscience and Neuromorphic Engineering. Empirical studies will be considered if they are supplemented by theoretical analyses and contributions to theory development and/or computational modelling studies.
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