Research on User Experience Map Design Method Based on Emotional Quantification of In-Vehicle HMI

Huo, Faren; Zhao, Yeying; Fang, Fei

doi:10.2139/ssrn.4252309

Cited by 2 publications

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“…KE can effectively increase product sales by capturing the degree of correlation between product features and users' needs. Therefore, it is widely used in interdisciplinary research in many fields such as product design [23], [24], vehicle interaction [25] and living space [26].…”

Section: Introductionmentioning

confidence: 99%

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: 99%

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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“…The utilization of human affects, encompassing emotions, moods, and feelings, is increasingly recognized as a crucial factor in improving the interaction between humans and diverse machines and systems [1][2][3] . Consequently, there is a growing expectation that technologies capable of detecting and recognizing emotions will contribute to advancements across multiple domains, including HMI device [4][5][6] , robotics [7][8][9] , marketing [10][11][12] , healthcare [13][14][15] , education [16][17][18] , etc. By discerning personal preferences and delivering immersive interaction experiences, these technologies have the potential to offer more userfriendly and customized services.…”

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confidence: 99%

Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface

Lee,

Jang,

Jang

et al. 2024

Nat Commun

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Human affects such as emotions, moods, feelings are increasingly being considered as key parameter to enhance the interaction of human with diverse machines and systems. However, their intrinsically abstract and ambiguous nature make it challenging to accurately extract and exploit the emotional information. Here, we develop a multi-modal human emotion recognition system which can efficiently utilize comprehensive emotional information by combining verbal and non-verbal expression data. This system is composed of personalized skin-integrated facial interface (PSiFI) system that is self-powered, facile, stretchable, transparent, featuring a first bidirectional triboelectric strain and vibration sensor enabling us to sense and combine the verbal and non-verbal expression data for the first time. It is fully integrated with a data processing circuit for wireless data transfer allowing real-time emotion recognition to be performed. With the help of machine learning, various human emotion recognition tasks are done accurately in real time even while wearing mask and demonstrated digital concierge application in VR environment.

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Research on User Experience Map Design Method Based on Emotional Quantification of In-Vehicle HMI

Cited by 2 publications

References 0 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

Encoding of multi-modal emotional information via personalized skin-integrated wireless facial interface

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