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.