Emotionally Sustainable Design Toolbox: A Card-Based Design Tool for Designing Products with an Extended Life Based on the User’s Emotional Needs

Wu, Jianfeng; Jin, Chuchu; Zhang, Lekai; Zhang, Li; Li, Ming; Dong, Xuan

doi:10.3390/su131810152

Cited by 8 publications

(15 citation statements)

References 46 publications

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“…Self-positive and moral emotions also play a role in sustainable perception, in particular positive emotions that promote happiness, health, and quality of life, feeling morally righteous in relation to the environment, and feeling powerful by an increase in the social status ( Hain, 2017 ). Positive emotions are also associated with developing an emotional attachment to the product, which ultimately induces more frequent use and helps extend its lifecycle ( Wu et al, 2021 ). Given that positive emotions are associated with sustainability, several theories have been proposed to explain the relationship between product design and emotions.…”

Section: Aesthetic Sustainability Of Materials Perceptionmentioning

confidence: 99%

Sustainable materials: a linking bridge between material perception, affordance, and aesthetics

Strappini,

Fagioli,

Mastandrea

et al. 2024

Front. Psychol.

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The perception of material properties, which refers to the way in which individuals perceive and interpret materials through their sensory experiences, plays a crucial role in our interaction with the environment. Affordance, on the other hand, refers to the potential actions and uses that materials offer to users. In turn, the perception of the affordances is modulated by the aesthetic appreciation that individuals experience when interacting with the environment. Although material perception, affordances, and aesthetic appreciation are recognized as essential to fostering sustainability in society, only a few studies have investigated this subject matter systematically and their reciprocal influences. This scarcity is partially due to the challenges offered by the complexity of combining interdisciplinary topics that explore interactions between various disciplines, such as psychophysics, neurophysiology, affective science, aesthetics, and social and environmental sciences. Outlining the main findings across disciplines, this review highlights the pivotal role of material perception in shaping sustainable behaviors. It establishes connections between material perception, affordance, aesthetics, and sustainability, emphasizing the need for interdisciplinary research and integrated approaches in environmental psychology. This integration is essential as it can provide insight into how to foster sustainable and durable changes.

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Section: Aesthetic Sustainability Of Materials Perceptionmentioning

confidence: 99%

Sustainable materials: a linking bridge between material perception, affordance, and aesthetics

Strappini,

Fagioli,

Mastandrea

et al. 2024

Front. Psychol.

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show abstract

“…Though MDD delves into the emotional characterisation of materials, the approach is predominantly function-oriented, such as Alejandro Plumed and others' exploration of eco-friendly materials in the industrial sector [34]. Furthermore, a significant trend has been observed where products are discarded not because of a lack of physical durability but rather due to a loss of attachment by the users [35]. Products that evoke enjoyment or foster connections with people, places, and events have strengthened users' "attachment" to them [36].…”

Section: Material-driven Design (Mdd)mentioning

confidence: 99%

A Case Study in Natural Fibre Material (Luffa Sponge) Development Using E2-Material-Driven Design

Li,

Wang,

Zhang

2024

Sustainability

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To unleash the emotional potential of natural fibre materials in sustainable development and utilisation, this paper presents a material-driven design method with emotional and ecological indicators (E2-MDD). The method offers product-level solutions for the sustainable development of natural materials. The method involves several steps, such as screening the main material quality, capturing the user emotion vision, deconstructing the E2 vision pattern, and deducting the product design concept. The method was tested on luffa sponge samples, seen as one kind of traditional fibre resource, which resulted in four differentiated schemes, which were evaluated using the E2-MDD ring radar column score chart. The study identified three key emotional qualities for natural fibre materials: associativity, uniqueness, and biophilicity. The results show that product concepts closer to the natural material’s original form scored higher, while the inclusion of non-natural materials had a negative impact on the evaluations. This study also found that E2-MDD could strengthen the emotional and ecological connection between people and products, further indicating that material and design can establish a link between environmental friendliness and emotional experience. Lastly, the paper suggests future development areas for the E2-MDD method, including focusing on users, ecology, and business.

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“…Literature [20] utilized the emotional connection with users in the product development process for a range of artifacts from cosmetic packaging to the make-up industry, camera housings, and handmade prosthetics to examine the challenges of emotionally designing products and systematically integrating conceptual design with industrial and engineering design, thereby reducing the stress on product development teams and enhancing competition in product consumption. Literature [21] suggests that emotionally sustainable design helps users to develop an emotional attachment to a product, and based on literature review and expert validation, an emotionally sustainable design toolkit is proposed, and the usability of the ESD toolkit is verified through the design practice of a teapot product, which improves the efficiency of the sustainable design process. EEG signals often have some noise interference in the acquisition process, and the original EEG signals need to be preprocessed after obtaining the original data, and only after that can the EEG data be used for emotion recognition.…”

Section: Related Workmentioning

confidence: 99%

Research on Emotional Improvement of Product Design Based on Emotion Recognition Technology

Xin

2023

Applied Mathematics and Nonlinear Sciences

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In this paper, we first extracted the time-domain features, frequency-domain features and spatial-domain features of EEG signals, combined with the three-stage feature selection algorithm applicable to the binary classification problem and the multi-classification problem, and constructed the SEE model for emotion recognition based on EEG signals. Then, based on the three-level design model of emotion, emotion decoding and labeling are carried out on the instinctive layer, behavioral layer and reflective layer of product design, and the constructed model is combined to improve the product design emotionally. Finally, after analyzing the results of product emotion annotation, we explore the performance of the EEG-based emotion recognition model and the improvement effect of product design emotionalization. The results showed that the average accuracy of the EEG signal emotion recognition model for various emotion recognition was about 0.99, and the intensity of emotion intensity in Dahe was 0.32 and 0.25, respectively, accounting for 0.57 of the total sample, and the performance evaluation indicators of the eight emotions were greater than 0.85. Ninety percent of product experiencers had pre- and post-improvement differences between [0.12, 0.22] for happiness and [-0.20, -0.04] for dissatisfaction.

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Emotionally Sustainable Design Toolbox: A Card-Based Design Tool for Designing Products with an Extended Life Based on the User’s Emotional Needs

Cited by 8 publications

References 46 publications

Sustainable materials: a linking bridge between material perception, affordance, and aesthetics

Sustainable materials: a linking bridge between material perception, affordance, and aesthetics

A Case Study in Natural Fibre Material (Luffa Sponge) Development Using E2-Material-Driven Design

Research on Emotional Improvement of Product Design Based on Emotion Recognition Technology

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