Substantiation of home occupant archetypes with the use of generative techniques: analysis and results of focus groups

IF 2.1 Q2 CONSTRUCTION & BUILDING TECHNOLOGY
M. Ortiz, Dong Hyun Kim, P. Bluyssen
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引用次数: 0

Abstract

ABSTRACT A previous study clustered home occupants into archetypes with a questionnaire. This study uses qualitative methods to strengthen those previously-found archetypes with data pertaining to the participants’ home experiences. Focus groups were carried out where generative activities were conducted involving the generation of collages. The first activity dealt with the expression of ‘meaning of energy use at home’ and the second one with the ‘ideal home experience’. Analyses were done with content and thematic analysis. Codes were drawn from the data and were assimilated through an affinity diagram. The diagram produced two categories: building themes and human themes, along with five sub-categories (home, financial, energy, psychological, and behavioural aspects). The outcome shows that each archetype expresses needs and meanings of an ideal home experience and energy use differently from each other. The results provide evidence that generative techniques can be used in energy research. In this case, to validate and substantiate the quantitative archetypes previously produced with a questionnaire. Interpretive knowledge in energy research allows for a better understanding of occupants’ differing behavioural patterns in regards to energy use and comfort. It allows customizing interventions to the archetypes’ specific needs to decrease energy consumption while maintaining comfort.
使用生成技术来证明居住者原型:焦点小组的分析和结果
先前的一项研究通过问卷调查将家庭居住者划分为原型。本研究使用定性的方法来加强那些先前发现的原型与数据有关的参与者的家庭经验。焦点小组进行了涉及拼贴画生成的生成活动。第一项活动涉及“家庭能源使用的意义”的表达,第二项活动涉及“理想家庭体验”。分析分为内容分析和主题分析。从数据中提取代码,并通过关联图进行同化。该图表产生了两个类别:建筑主题和人类主题,以及五个子类别(家庭、金融、能源、心理和行为方面)。结果表明,每个原型都表达了理想家庭体验和能源使用的需求和意义,彼此不同。结果表明,生成技术可用于能源研究。在这种情况下,验证和证实之前通过问卷调查产生的定量原型。能源研究中的解释性知识可以更好地理解居住者在能源使用和舒适度方面的不同行为模式。它允许定制干预原型的特定需求,以减少能源消耗,同时保持舒适。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Intelligent Buildings International
Intelligent Buildings International CONSTRUCTION & BUILDING TECHNOLOGY-
CiteScore
4.60
自引率
4.30%
发文量
8
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