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Este artigo faz parte de uma pesquisa multidisciplinar sobre valores e riscos de sistemas ciber-físicos (CPS) em andamento. Apresentamos um recorte da mesma, a partir da perspectiva do design. Com este foco, buscamos entender como os CPS, peças fundamentais da indústria 4.0, podem ser projetados de forma a serem não apenas funcionais, como também contribuirem para o bem-estar das pessoas. Um paralelo semântico foi feito a partir do levantamento bibliográfico sobre valores que são mais importantes num projeto de design, e num projeto de CPS especificamente, com a escala de bem-estar HEMA. Como resultado, é proposto um modelo conceitual teórico com 12 valores que servem como base para desenvolvimento de CPS com foco no bem-estar das pessoas. Por fim, apresentamos uma visão geral das etapas futuras da pesquisa, This article is part of an ongoing multidisciplinary research on the values and risks of cyber-physical systems (CPS). Here we present a snapshot of it, from the design point of view. With this focus in mind, we seek to understand how CPS, as the foundations of Industry 4.0, can be projected in a way that not only works, but also contributes, to people wellbeing. A semantic parallel was made from the bibliographical survey on the most important values in a design project, and in a CPS project specifically, with the HEMA wellbeing scale. As a result, a conceptual theoretical model is proposed with 12 values that serve as a basis for the development of the CPS with a focus on people wellbeing. Finally, we present an overview of future steps of the research.

O ser humano é um ser racional, mas também emocional. Seu inconsciente, englobando características como as emoções, as crenças e as percepções, interfere na tomada de decisão e é inerente às interações. O bem-estar, as experiências, a qualidade de vida, o engajamento e as situações emocionais são pontos tratados pelo design emocional e pelo design positivo. Todavia, a forma de captação dessas informações ainda precisa de atenção. Por sua vez, o Attrakdiff é um questionário de autorrelato, em escala de diferencial semântico, bipolar, constituído por 28 pares de palavras. Ele analisa a experiência do usuário, baseado em quatro dimensões (Atratividade, Qualidade Pragmática, Qualidade de Estimulação Hedônica e Qualidade de Identificação Hedônica). O método também pode ser encontrado na versão mini Attrakdiff, em que o questionário contempla 10 pares de palavras. Sua agilidade na aplicação quando comparado com outros métodos (como a Engenharia Kansei) é uma vantagem, mas a dificuldade em entender alguns termos e o tamanho do questionário são algumas de suas limitações. Diante disso, o presente estudo sugere o Attrakdiff-R, uma versão reduzida do original, contendo 18 pares de palavras. O método foi aplicado para 23 pessoas que trabalhavam em setores essenciais (bancária, industrial e de imprensa) e por isto estavam trabalhando presencialmente em pleno lockdown de março de 2021. O método teve consistência de acordo com o alfa de Cronbach, ele permitiu entender o usuário sob a perspectiva da experiência holística, possibilitando uma forma intermediária de abordagem. Além disso, a ferramenta converge como um possível questionário para entendimento do ser humano diante do design emocional e do design positivo.

The increased usage of available technologies and communication tools provided by the digital age offers numerous opportunities for fashion brands to connect with consumers. Although this matter is known in the literature, there is still much to explore on how to design digital products and experiences for and with emotion. This study focuses on the experience of eight fashion industry professionals through the use of a semi-structured interview as a research method. The outcomes of this study allowed to identify strategies to elicit emotions and to attain knowledge with respect to digital disruption from the subjects´ perspectives., This work is supported by FSE – European Social Fund, by national funds through FCT – Foundation for Science and Technology and POCH – Human Capital Operating Programme, within the scope of the project SFRH/BD/129900/2017; project UID/CTM/00264/2019 of 2C2T – Centre for Textile Science and Technology, funded by National Founds through FCT/MCTES and project Lab2PT - Landscapes, Heritage and Territory laboratory - AUR/04509.

The higher education market is experiencing a duality between meeting financial and academic goals. In both perspectives, the search for student/consumer satisfaction is a reality. The methods for measuring student satisfaction, in the Brazilian scenario, are mostly based on marketing metrics, without a real understanding of the students' feelings and perceptions. Given this scenario, the question is whether there is a divergence in perception between the student and the former student and if there is any viable technique capable of measuring these issues. In a quantitative survey, with 256 students, 81 former students, and 47 professors, an adaptation of the SAM (Self-Assessment Manikin) scale was carried out, with reason-emotion humanoids and academic stimuli. The main result is that the SAM is a viable, fast and effective model. It addresses institutional technical issues from a personal perspective. Furthermore, the divergence of perception between the former students and the current students was found.

Understanding the student’s perception in higher education goes far beyond student retention. Factors such as satisfaction, motivation and irritability points help not only in a more convergent service planning between the institution’s efforts in the face of student expectation, but also in better learning. The perceived quality is difficult to measure and subjective. This work aims to understand the perceived quality of the student and analyze the SERQUAL model for its application in higher education. The 5 dimensions of the model were correlated with academic pillars and the sub-items of each dimension were expanded, according to previous studies. The research was conducted with 15% of the universe of students from a higher education course, which represents 69 students, from a private institution. The results were validated in a focus group of 5 students using tools such as the Ishikawa diagram and the Interrelationship Diagram. As a result of the application it was diagnosed that students have a higher expectation than the service offered, which results in a perceived negative quality. Points such as ‘parking’ and ‘operational service’, which are not essential characteristics of the educational service, directly impact on the perception of quality and consequently on the student’s satisfaction. As a main result it was noticed that the method points out the problems that most bother the students. They tend to analyze the whole and camouflage items in the face of these stressful stimuli. The method proved to be an ally in the detection of problems of perceived felt quality, but that requires beyond the determination of the data to understand the root cause of the results.

O presente artigo tem como objetivo analisar o uso de duas ferramentas metodológicas de autorrelato, buscando compreender a diferença da experiência emocional de espectadores de Live Streaming Concert e se há uma contribuição para o bem-estar das pessoas num contexto de forma remota. A pesquisa foi realizada por meio de formulário on-line, utilizando as técnicas de medição de autorrelato PANAS e PrEmo, verbal e não-verbal respectivamente, além de questionário para averiguar que características ou elementos presentes num Live Streaming Concert causam maior engajamento nos espectadores de forma a lhes proporcionar uma experiência emocional positiva. Foram coletadas respostas de pessoas residentes do Brasil, de diferentes regiões. Foi possível perceber que o uso das ferramentas pode auxiliar no entendimento da experiência emocional do ser humano.

Given the premise that cycling encourages a healthy lifestyle and promotes well-being, this paper describes the design process for the development of a cycling garment, with embedded electrodes for heart rate measurement to further widen the possibilities of health and performance monitoring, in a practical and unobtru-sive way. Electrodes were produced and tested, using different textile materials and techniques. Signal measurement is based on the BBB Y8YBH20 heart rate monitor and performance tests were done using the Polar Beat mobile app. Final-ly, a prototype of the garment is presented, This work is financed by FEDER funds through the Competitivity Factors Operation-al Programme – COMPETE, by national funds through FCT – Foundation for Sci-ence and Technology within the scope of the project POCI-01-0145-FEDER-007136 and by TSSiPRO-NORTE-01-0145-FEDER-000015 funded by the regional opera-tional program NORTE 2020, under the PORTUGAL 2020 Partnership., info:eu-repo/semantics/publishedVersion

Emotion is a complex field with growing attention from several other fields of research. Recent scientific discoveries in Neuroscience and Affective Computing are providing insights on the most hidden and unconscious mental processes. By measuring what people experience when using a product, designers can gather useful data that aids them understanding their needs and expectations [1]. Due to the contribution of this new knowledge, Design faces new challenges and great opportunities to evolve. Although information on research methods for measuring emotions is readily accessible in books, scientific journals, websites, among others, no data was found in a coherent and comprehensive manner to manage all. As a result, this article is intended as a framework for three distinct methods for physiology measurement – Eye tracking, Galvanic Skin Response and Facial expression analysis, which resort to sophisticated sensor-based equipment to track specific functions of the human body, namely, pupil dilation, conductivity of the skin and facial behavior. These equipment are becoming affordable, less evasive and portable, making possible field experiments and remote research [2]. These methods were elected because they offer researchers unique paths to explore unconscious behavior. Thus, they are valuable to assess emotional states — prior studies found evidence of patterns in physiological responses for specific emotions [3]. In order to explore these issues, material from books and academic research was gathered and studied. Each method is described, some studies are pointed out and recommendations are given. The literature revealed that these methods provide valuable insights about bodily responses, but they have limitations and disadvantages. Furthermore, it requires technical expertise, knowledge about research planning and analysis of the acquired data sets. Nevertheless, published findings support that the true power of these methods unfolds as they are combined with each other. The main purpose of this article is to briefly inform designers and researchers about specific techniques and equipment available for emotion measurement in order to aid them in making more informed decisions. In addition, it is aimed to encourage different approaches in Design research in order to develop better products and experiences. Future prospects for Design are also discussed., FSE - European Social Fund, By national funds through FCT - Foundation for Science and technology and POCH- Human Capital Operation Program, Within the scope of the project SFRH/BD/129900/2017, info:eu-repo/semantics/publishedVersion

People with Special Needs (PSN) are people conscious or unconscious with limited motor skills (possibly owing to a post-surgical situation). A large number of these persons have problems in body areas in contact with support surfaces. They do not have the capacity for autonomous movement, which results in excessive skin pressure and restricted blood circulation. This can lead to the development of pressure ulcers (PU). These people do not have the opportunity to communicate their needs to qualified care givers/helpers in the area to obtain appropriate products based on recent technologies. It is important to have integrated tools which allow PSN to interact with the technologies that surround them. This system permits strategies that allow personal psychophysical data to be analysed by a specialised technician (highlighting the user’s verbal and nonverbal signs), originating data that can be of assistance in the process of conversion into 3D computer aided design (CAD) models. From these models is expected a shape/base with better pressure distribution and able to be manufactured using technologies such as rapid manufacturing. This analysis considers user communication with a specialised technique based on pressure measurements, dynamic body posture and comfort/discomfort as verbal or nonverbal signs. The aim is to create an integration system that induces human communication, as a bridge between psychophysical data and a technique to use rapid manufacturing technologies for highly personalised product development.