Seimeikan, the sense of being alive might enhances motion graphics, makes it an effective communication tool, and affects human emotions. However, there is a lack of studies in terms of expressing a sense of being alive that focuses on human decision. The present study aimed to investigate the motion factors and find how motion affects the evaluation of sense of being alive. Two sets of motion graphics, artifacts and natural creature were used in the evaluation. The artifact set was composed of three levels of displacement (Linear), sine curve, and noise factors. The natural creature set was composed of data from fish locomotion. The findings of the study presented that (1) motion graphics based on natural creature were rated more positively than those that are based on artifact, (2) the motion graphics based on artifact showed the importance of noise factors, which highly correlated with expressing the sense of being alive compared to other factors. Moreover, it was found that high and low noise factors positively influenced the evaluation of the sense of being alive more than those without noise.

To provide evidence-based measures in health management and offer comfort services, it is important to assess emotions objectively. Recently, positive psychology has garnered considerable attention, and its effects have been verified as an early recovery effect during rehabilitation. In this study, to investigate the relationship between the biological responses corresponding to pleasant stimuli and elicited subjective strengths of pleasure, an experiment was conducted using sports videos with different pleasure strengths; in addition, biological responses were measured with collecting subjective ratings and analyzed. The 2-minute length video stimuli for the experiment were set, such that the elicited pleasant strengths differed in the preliminary survey. In total, 15 healthy adults participated in the study. Photoplethysmography, respiratory waves, electrocardiograms, and continuous blood pressure waves were measured and analyzed.

In the results, although the stimuli used here elicited pleasant emotions, a problem in setting the proper strengths still remained. Regarding biological responses, systolic blood pressure, pulse pressure, and combined parameters of blood pressure wave components exhibited significant differences between stimuli levels. Finally, the combined parameters of the blood pressure wave components exhibited responses of graded intensity, and the magnitudes of these parameters were correlated with subjective rating scores.

In the discipline of design science, the integration of cognitive, semantic and affective elements is crucial in the conception and development of designed products. Affective elements in IT artefacts have gain researchers interest, but little attention was given to Geographic Information System (GIS). This paper presents a research attempt to identify emotional response towards web-based GIS, and determine design influence to the emotion by applying Kansei Engineering (KE). The method involved ten selected web-based GIS specimen, 10 Kansei words as descriptors of emotional responses which was organized as a 5-point Semantic Differential (SD) scale to form a Kansei checklist. 50 participants were asked to rate their emotional responses toward the specimens into the Kansei checklist. Principal Component Analysis (PCA), Factor Analysis, and Partial Least Square (PLS) analysis were used to enable the research to achieve its objectives. The research discovered that the semantic structure of Kansei that shaped by the response was spaciousness and intenseness, and the significant Kansei concepts are formal and eye-catching. The PLS analysis have assisted the research to understand the significant influence of design to Kansei responses. These results provide cues for designers to design future web-based GIS with embedded emotion.

Data visualization is the processing of data, directed at a person, content, and purpose, to simplify decision-making for the person. In practice, does data visualization affect people's decision-making time? In this study, we formulate questions using tables and graphs for three data groups, with varying amounts of information. Twenty subjects are asked to answer the questions from least to most of information, and the time taken to answer them is measured. Following the experiment, the attributes of the subjects, including gender, age, occupation are obtained via a questionnaire. The experiment reveals that as information increases in the tabular format, the answering slows proportionally. In contrast, in the graph format, the responses do not slow down proportional to the increase in information. The relationship between the subjects’ attributes and the speed of answering is determined and some significant differences are found. Six patterns of relationship between the answering time for the tables and graphs are obtained. Subsequently, the relationship between these attributes and “change of flow from data to action (hereinafter called “the decision-making process”)” are examined in Kansei engineering, and the data visualization is found to be potentially effective at speeding up the decision-making process.

In recent years, due to the active development of cultural and creative industries in Taiwan, cultural elements in exhibitions are often used in product design. Generally speaking, cultural and creative design elements exist in ordinary life and can be found in specific life. Although Tainan Art Museum in Taiwan aims to promote local art, it introduces a special exhibition of Japanese contemporary artist Yoshitomo Nara for the purpose of promoting modern art. Taking this special exhibition as a case, this research aims to analyze the attractiveness factors of the commodities in transnational exhibitions and discuss the essential spirit of the intercultural commodities. The research results put forward four attractiveness factors, that are practical feeling, satisfied feeling, mysterious feeling and unique feeling, for the formation of museum cultural commodities, can be used as a reference for the future product development and selection of art museums.

Indonesian design practitioners have shown interest in adapting the established cute visual culture, commonly used in Japan, to improve public service communication. This assimilation effort may enhance communication effectiveness; however, previous research has also shown that cultural factors can have a negative impact on communication effectiveness. We conducted this study to determine if and which public service poster impressions are affected by cultural factors.

We compare impressions of Japanese and Indonesian subjects when looking at selected manner awareness posters. We measure the intensity of impressions with an online survey method. Participants had to score the poster images based on ten impressions that were previously selected through a preliminary experiment and translation check process.

Fifty-nine Japanese (n = 29) and Indonesian (n = 30) adults participated in the survey. Impressions with major effect were realness and casualness, while Impressions with a slight effect were reassurance, playfulness, imaginativeness, importance, preference, and sharing intention. Finally, we found that the impression of cuteness and picture-text orientation were least affected by cultural factors.

We conclude that cognitively evaluated impressions, such as reassurance, realness, casualness, etc., appear to be more affected by cultural factors than cuteness. We confirm the universality of cuteness impression, which we may adapt for visual communication across different cultures.

In the new media environment, women are no longer the recipients of information, but rather the producers and consumers of information. The media image of women has become more diverse. Tik Tok is a product of the rapid development of new media, where women are empowered in many aspects of production, performance, distribution and reception. In many Tik Tok videos, women express themselves, with topics ranging from beauty and dressing to work and even gender relations. While this is a somewhat new look compared to the past, Chinese women are still influenced by traditional culture and there is still a hidden power manipulation behind it.

The study of Tik Tok is relevant to the construction of equal gender relations in Tik Tok and other short social videos. At the same time, as the age group of Tik Tok users is young, it helps us to understand the contemporary media position of women in the social video sphere.

This study collects the participation of some active female users in Tik Tok on public issues, analyses the most popular female short videos posted by female users in Tik Tok, and examines the media image of female users in Tik Tok platform using a qualitative research approach, supplemented by quantitative research. In this way, we analyse whether women's right to express themselves is being realised unconsciously and whether there is a qualitative improvement in the expression of women's voices compared to the traditional media era.

Due to the Corona situation, teleworking practices and relocations have increased, as people realize that they can do their jobs from any location. People have been relocating and buying land in remote and rural regions, away from the risks associated with the ongoing pandemic and inner-city living. The author of this paper has made a number of promotion films, documenting the initiatives of local people in the mountainous rural Ashimi district of Fukui Prefecture, and has been conducting research to verify and describe the results of these video expressions by comparing them to similar projects from different regions both in Japan and around the world. This paper Researched the works of Japan World’s Tourism Film Festival, which the author was also involved in managing, and used text mining to find keywords required to improve and objectively verify results.

Sustainability labelling is commonly applied to consumer products. It is usual to find labels related to different sustainability aspects, such as environment, health or fair trade. Consumers with sustainability awareness will base their choices on how the product aligns with their values. However, consumer preferences about sustainability traits may depend on the specific type of product.

To determine whether perceptions on labelling about sustainable aspects differ between types of products, a study was carried out in which 73 participants chose between three versions of a same product, each version containing a sustainable label (environmental, social or related to health). Three different products for daily use were chosen: food (a milk carton), clothing (a t-shirt) and a personal hygiene product (a bottle of shampoo). For each product and aspect of sustainability, the labels were chosen among the best known. Participants had to select around various perceptions: quality, price, sustainability, trust, willingness to pay and general choice (preference).

The results show that, for some questions, the choice of the preferred sustainability aspect depends on the product. Therefore, it is concluded that the evaluation and decision criteria of sustainable labelling may vary, depending on the type of product to which it is applied.

Going green is increasingly important for many companies and consumers. The present research indicates that functional and emotional factors can achieve the best-perceived effects when choosing an environment-friendly product. Therefore, this study aims to gather these attractive factors from high-involvement groups by using Miryoku engineering. First, we capture them through the Evaluation Grid Method and use Quantification Theory Type I for quantitative analysis. Then, generalize four feelings about environment-friendly products, namely “Assured,” “Responsible,” “Safe,” and “Comfortable.” We also define a linear dimension with short-, normal-, and far-sight for locating attractive factors. The result shows that high-involvement groups are more concerned about the long-term impacts of “Responsible” feeling, while low-involvement groups focus more on the obvious benefits of “Responsible” and “Safe” feeling. Moreover, the emphasis on natural ingredients is necessary for achieving “Assured” and “Comfortable” feeling for both the high- and low-involvement groups.

This study focused on bird species in Taiwan, employing a spiral model to investigate the design and usability of an app for Taiwan's endemic bird species through simplified bird images, interactive framework, text icons, and user interface, along with heuristic evaluation and usability testing. The matching test results verified that the focuses of bird image design were on the color contrast of a bird's body part with the rest of the bird's body, overall tone, and the design/shape of a bird's body part. In terms of usability test results, the app system designed had a usability score of 74.773 with the level between "good" and "excellent"; and was rated "excellent" in dependency, stimulation, and novelty under user experience; was rated "good" in attractiveness and efficiency, and was rated "above average" in perspicuity. Furthermore, significant usability and user experience differences were observed between the interface using narrative and text icons in introducing bird information. Accordingly, when the same ecological information interactive framework is applied, the use of graphic rendering to create interfaces based on simplified bird images and text icons helps improve the usability of the system, as well as the attractiveness, perspicuity, efficiency, dependability, stimulation, and novelty of the system in terms of user experience.

This paper reports on a specific cognitive behavior often found when trying to understand a text not written in readers’ native language. Our research group conducted a questionnaire survey to examine Japanese readers’ cognitive behavior and awareness when reading English texts. We also conducted a factor analysis on this questionnaire to identify the behaviors often found when reading English. Participants were 56 Japanese students studying engineering at Chuo University. After reading the texts, a questionnaire consisting of 43 items was applied to the participants. We used exploratory factor analysis to identify the primary factors related to readers’ cognitive behavior and awareness when reading a non-native language. As a result of the analysis, mainly based on the highest contributing factors, it was suggested that readers may have made substitutions into Japanese, their own words, when reading the English texts. In other words, when reading a non-native language, the reader may read the texts by replacing them with their native language rather than comprehending it in that language. Based on the results of our experiment, it is expected that the research on the cognitive supporting systems may help readers to understand non-native languages quickly and smoothly.

The value of diversity in education is highly emphasized in recent years, particularly in the wake of the COVID-19 pandemic, by many scholars. MOOCs have contributed the shift to online learning by expanding the range of available learning opportunities. They have gained popularity, especially in higher education by providing unlimited access to lectures and rich learning materials by renowned and respected academics in a wide variety of areas, with no restrictions and at very low fees. Besides, reasons for enrolling in a MOOC might vary according to the learners’ preferences on its instructional design as well as their emotions. Knowing this, creating more effective online courses that address affective issues would attract a broader spectrum of students and optimize the learning experience.

This study intends to reveal the emotional features of MOOCs to gain a better understanding of why learners choose a specific course among hundreds of alternatives available on MOOC platforms. The study uses Kansei Engineering methodology by enriching it with text analytics algorithms for extracting the learners’ emotions from the user reviews. The research methodology includes the collection of reviews from MOOCs and then the analysis of them through NLP techniques to identify Kansei words characterizing MOOCs, specifically for the courses in the field of Analytical/Quantitative Methods. The expected output of this study is a Kansei corpus for online courses related to the given field.

The Covid-19 pandemic has triggered changes in learning due to the practice of social distancing to curb the spread of the virus. E-learning platforms have become the main platform for learning throughout the pandemic. However, e-learning does have challenges when it comes to ensuring student’s optimum participation throughout the learning experience that require extensive research about techniques and methods for an optimum e-learning experience. This includes various e-learning supporting tools that provides easy communication and immediate assistance to enhance user experience. The supporting tools or software usability and functionality design determined as imperative in enhancing the e-learning user experience. Thus, this research proposes a conceptual model for designing the e-learning supporting tools based on the CUE Model, integrated with Kansei Engineering for optimum user experience that can serve as a guideline for the e-learning supporting tools designer. The outcome of this research will create new research fields that incorporate multiple domains, including the e-learning domain, software and supporting tools design, emotions and user experience.

In response to the post-epidemic relationship and other factors, the number of students who transfer from abroad is increasing day by day; at present, the time and reasons why such children choose to return to their hometown to study are extremely diverse, and they often appear in the nature of flow, emergencies and individual cases.

At present, more and more "international transfer students" appear in the education system of their hometown and their home country, and they are facing great difficulties in both academic and interpersonal relationships. Because of their lack of language skills, such children cannot successfully integrate into education system after returning to hometown. In order to protect students' learning rights and avoid becoming "guests in the classroom", this study starts from the social and cultural context of toys among elementary school children; Analyzed and explored their cultural background through evaluation constructs, user journey maps, questionnaires, and applied grounded theory in qualitative research, as well as their emotional ups and downs during the game. Explore objects meaning and relationship represented in the social culture of children, to explore the emotional motivation of school children and the preferences of product modeling. It aims to understand the relationship between personal emotional fluctuations, environmental and use behavior, hoping to create more possibilities for future curriculum development, and toy design.

Mouthwash prevents bad breath and sterilizes bacteria that cause dental caries and periodontal disease, so it provides important means for improving oral hygiene in our daily life. Along with active ingredients such as bactericides, mouthwash contains a variety of aromas to mask the bitterness of base ingredients and increase palatability. However, given that numerous aroma studies have demonstrated various physiological efficacies of aromas on autonomic/central nervous systems, it is no wonder that aroma mouthwash has some sort of physiological impact when it is used. In this study, we investigated the effect of aroma in mouthwash on peripheral and cardiac autonomic nervous system activity. The experiment was carried out in a within-subject design wherein 20 healthy women under 5 conditions, which are 4 types of mouthwashes: peppermint, bergamot + peppermint, orange + peppermint, and lavender + peppermint, and water as a control. Participants performed a 20-minute calculation task as a cognitive stressor, and then rinsing by a mouthwash or water. We evaluated the recovery period from acute stress response for 20 minutes after the task. As a result, it was observed that a mouthwash with citrus flavor had a relaxing effect in terms of subjective scores and recovering from physiological stress response. The results may illustrate a potential benefit of using aroma mouthwash.

In recent years, cross-modal effect in which perceptions interact with each other has been drawing attention. In the case of cross-modal effect between vision and taste, the effect of the angularity of shapes on taste has been widely studied while there has been little research on the other features of shapes. Previous research have shown that the emotional valence arisen from visual perception causes cross-modal effect between vision and taste. Therefore, this study focuses on the complexity of shapes as a visual stimulus to influence emotional valence and aims to confirm the cross-modal effect induced by its sensation. First, based on previous research, the hypotheses about the effects of the complexity of shapes on taste were made. Second, by using particle swarm optimization algorithm, closed curve shapes were generated based on curvature entropy, a quantitative index of the complexity of shapes, which indicates the randomness of curvature transition. Third, cup holders, which had these closed curve shapes on their sides, were created by using a 3D printer. Finally, by comparing the tastes of orange juice in these cup holders, the effect of the complexity of shapes on the perception of sweetness, sourness and intensity was confirmed. The results suggest that the complexity of shapes controlled by curvature entropy weakens the perception of sweetness whereas it enhances that of sourness and intensity. This finding can be used for reducing sugar intake in bottle packaging.

An objective assessment method for schizophrenia is highly needed. For this purpose, this study examined the emotional characteristics of facial stiffness, one of the indices for estimating patients’ flat affect states using average faces. First, we conducted an experiment to extract psychological evaluations of facial stiffness in 14 Japanese schizophrenia. 12 medical experts rated the facial stiffness of the patients in 127 videos using a rating program. Meanwhile, their gaze data were collected. In addition, 11 average faces of 14 patients and other one of 14 healthy subjects were created in order to extract the physical characteristics of facial stiffness. The results of the emotional analysis showed that the average faces of the healthy subjects and patients were different proportions of 8 emotions. The faces of healthy subjects were "calm" with a confidence level of 99%. On the contrary, the patient's face contained 15% to 65% of emotions other than "calm," such as "anger" and "sad. In images in which the emotion of "anger" was easily identified, the gazing points tended to be concentrated around the eyes. On the other hand, images in which the gazing points were widely distributed may have been difficult to identify because they were not typical emotional expressions. Therefore, it is suggested that there are two types of criteria for judging facial stiffness in schizophrenia: the emotional expression of "anger" and a mixture of features of "anger," "sad," and "calm.

In recent years, significant research has been conducted on the use of deep learning for prediction of facial attractiveness. These studies are expected to have various applications such as recommendation systems and face beautification. Therefore, it is crucial to improve the prediction accuracy. In this study, to improve the accuracy of facial attractiveness prediction, several convolutional neural network-based models were built using sex-specific datasets. Then, their accuracies were compared. The results showed that VGG19 and VGG16 had the highest accuracies for the male and female face datasets, respectively. A detailed confirmation of the factors necessary for prediction is expected to contribute to the construction of models based on human perceptual characteristics. These models maybe utilized in various engineering applications.

In a KE study to determine the emotional design features of a traditional product from Turkey, expert designers’ opinions were collected for the span the semantic space and span the space of properties steps of the KE methodology and an additional discussion came up. It was noted that the expert designers raised several questions about KE. They seemed to approach the potential KE results with caution because it was perceived as an intervention to their creative processes.

During the interviews the following arguments came out: Design problems are irrational and wicked and do not have only one solution. What KE offers is scientific, but it may interfere with the creative process needed for designing. It can be useful for novice designers, but some experts think that they already have the intuitive knowledge of Kansei.

After discussing with other KE researchers, about the similar experiences working with expert designers, there was the need to explore the issue in more detail.

First, interviews were conducted with 4 expert designers. A scale was developed to assess their attitudes towards using KE results in design problems. Data was collected with an online questionnaire from 49 experts on the scale. The findings can be used in creating new strategies to introduce KE to design experts in a way that they can be convinced to use KE in their further design processes.

Both the disciplines of design and statistics have promoted projects and research with clear objectives in their field, but for the other discipline, they have been difficult or challenging to fully understand.

In design, there are a large number of projects that provoke a reaction in spectators or users, since they have a spectacular scope and impact, but at a statistical level, their results add little value. On the other hand, statistics in some of the models and applications that are often used, the requirements are highly complex and numerous. This makes it difficult to put theory into practice since experiences or experiments that are so complex and difficult to manage cannot be carried out. In addition, later the communication process for non-experts is difficult to understand due to a large amount of information, as well as on occasions poorly designed presentations.

After understanding the limitations that the two disciplines have, their ability to work together and make the weaknesses of each of them a more complete and holistic solution is evident. Kansei engineering is also a good example since it is a complex design tool, and the only way to advance it, incorporating the use of data, is with the collaboration between designers and statisticians. In this paper, the Data Collection Toolkit is presented as a result of applying Kansei Engineering to unite these two disciplines including for each step some methodologies, resources, and tools for designers.

In this study, we regarded the idea that supplementary variables and Multiple Correspondence Analysis are promising for analysis and visualize complicated relations in Kansei analysis. It could merge several different information tables and then project them into a map. Applying this advantage would make the overall view of Kansei. Design elements, samples, and associated Kansei words were shown in an MCA map. Leather patterns of children’s lower leg orthotics are the objective of this Kansei evaluation. The leather surface was simulated with 3D CG with physically based rendering methods.