Kansei Design and Its Applications in Architecture and the Built Environment

Caratelli, Paolo; Misuri, Maria Alessandra

doi:10.1007/978-3-030-44267-5_7

Cited by 4 publications

(3 citation statements)

References 8 publications

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“…In the study of Caratelli and Misiri (2020), they adopted the semantic difference method (SD) to map user perception and semantically related descriptions, and combined with the KE research framework, thus building a public space shared by heterogeneous users. The results show that the design based on the common emotional pattern of users can effectively improve the well-being of community space [27]. The study of Papantonopoulos et al, (2022) shows that the use of KE to evaluate the correlation attributes between lighting variables and users' emotional imagery can effectively guide the lighting design of indoor space so that the related design goals of optimizing space efficiency and space emotional atmosphere can be achieved and users sleep can be improved as well [28].…”

Section: Introductionmentioning

confidence: 97%

Optimization Strategies for the Modular Resource Construction of Art Gallery’s Exhibition Halls Based on Kansei Engineering

Li,

Dai

2024

IEEE Access

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With the popularization of community's micro-renewal and sustainability concept, the improvement of residents' satisfaction and the reasonable allocation of resources have become the core elements in the effectiveness evaluation of community renewal. The degree of adaptation between residents' emotional needs and spatial forms has also become the focus of discussion in the community public space's renewal strategy. This paper aims to explore the mapping relationships between residents' emotional images based on Kansei Engineering(KE) and the spatial form of mobile exhibition halls in community's art gallery. First of all, relevant samples are collected and Web crawler technology is used to retrieve relevant Kansei words, and the most representative Kansei words relative to the samples in the exhibition hall are collected. Secondly, the data values corresponding to Kansei words are obtained by using Likert scale, and the Exploratory factor analysis (EFA) is used to cluster Kansei words to obtain seven most representative emotional semantic words, namely, natural, bright, diverse, simple, fun and sustainable. Moreover, in combination with principal component analysis (PCA), three factors structures are obtained, namely the sense of clearness, sense of lucidity and sense of symbiosis. Analytical Hierarchy Process (AHP) is used to get the index weight ranking of each factor structure. Finally, the Quality Function Deployment (QFD) tool is used to map the emotional image of the user and the form of the exhibition hall's components. At the same time, it is combined with the design requirements of sustainable development to form a complete design scheme. Based on KE, assemblability and recyclable waste wood can, to a certain extent, the exhibition hall design model meets the emotional needs of residents in different communities through diversified exhibition hall assembly design. In addition, the material and assembly mode are also responsive to global sustainable development.

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Section: Introductionmentioning

confidence: 97%

Optimization Strategies for the Modular Resource Construction of Art Gallery’s Exhibition Halls Based on Kansei Engineering

Li,

Dai

2024

IEEE Access

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“…KE has many applications, especially in product development [89,[91][92][93], including in the assessment of lighting equipment and uses [94][95][96]. In the field of environmental evaluation [97], it has been used to examine acoustic and sound perception [98], thermal [99], and classroom environments [100]. Nonetheless, to the best of the authors' knowledge, while KE has been applied in many contexts, it has not been applied to PLE to measure residents' responses.…”

Section: Introductionmentioning

confidence: 99%

The Influence of the Public Lighting Environment on Local Residents’ Subjective Assessment

Castilla,

Blanca-Giménez,

Pérez-Carramiñana

et al. 2024

Applied Sciences

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Sustainable development and energy savings are crucial to the significant worldwide trend in smart city-related research and projects. In this regard, public lighting systems have great energy-saving potential. Nevertheless, while citizen engagement is a key element of most conceptualisations of smart cities, many smart lighting projects and systems fail to take account of the citizen’s viewpoint. Applying a citizen-centric lighting design model, the objective of this study is to examine the affective impressions of local residents of the luminous environments in their areas, taking account of the activities they carry out there. Kansei Engineering is employed to connect luminous design elements with citizens’ affective responses. Lighting environments in 18 urban spaces were evaluated by 310 local residents. The results show that subjective assessments in the evaluation of urban lighting environments can be explained by the following dimensions: Expressive-interesting, Innovative-efficient, Defined-sufficient, Formal-uniform and Glaring. The relationship of these dimensions to urban social activities shows that public lighting should generate, in local residents, sensations consistent with the nature of the activities. Urban lighting must create in the citizen a feeling of innovation (being up-to-date and contemporary) if it is to be seen as energy-saving and caring for the environment. These findings may be valuable for governments, architects, engineers, and lighting designers when developing strategies to ensure their designs are evaluated as being efficient, sustainable, and environmentally friendly.

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“…Extracting emotional dimensions is another essential component of Kansei engineering. Many scholars have explored emotional dimension extraction: Yu-Ming Chang et al examined the semantic cognition of steering wheel styling design [ 26 ]; Paolo Caratelli et al summarized the semantic preferences of interior spaces with special functions [ 27 ]; and Lai et al collected extensive information on the emotional needs [ 28 ]. These explorations extracted emotional dimensions using perceptual adjective word pairs with explicit emotional intentions, providing a good foundation for subsequent mapping model building.…”

Section: Introductionmentioning

confidence: 99%

Emotional matching model construction of the interior interface form of age-friendly housing in Jinan city examined using Kansei engineering

Wang,

Buranaut,

Zhang

et al. 2024

Heliyon

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Kansei Design and Its Applications in Architecture and the Built Environment

Cited by 4 publications

References 8 publications

Optimization Strategies for the Modular Resource Construction of Art Gallery’s Exhibition Halls Based on Kansei Engineering

Optimization Strategies for the Modular Resource Construction of Art Gallery’s Exhibition Halls Based on Kansei Engineering

The Influence of the Public Lighting Environment on Local Residents’ Subjective Assessment

Emotional matching model construction of the interior interface form of age-friendly housing in Jinan city examined using Kansei engineering

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