The influence of the COVID-19 pandemic has increased the opportunities of online meetings. In this study, we analyzed and modeled the consensus-building process in online and face-to-face meetings. As a result, we successfully constructed a model for the consensus-building process and visualized the structural changes using Bayesian network. This showed the possibility of discussing various consensus-building processes quantitatively. Furthermore, we compared the consensus-building process in the online case and in the face-to-face case using time to reach consensus, number of words per unit of time, and percentage of statements by participants. The findings suggest that in online meetings, the amount of statements per unit time may increase because the information that cannot be supplemented by non-verbal information is supplemented by words. In addition, it is easier to determine the participant who would lead the discussion in face-to-face meetings, while in online meetings, the participants tended to speak simultaneously.
In this paper, we propose a new personalization method for knowledge graphs using a graph convolutional neural network. As personalized items user interests are treated. Hobbies are used as an example of interest in this paper. Personalized data is obtained from labeled concepts rather than text. In the proposed method, the knowledge graph constructed from the Japanese WordNet and ALAGIN word co-occurrence dictionaries and GCN (Graph Convolutional Networks) are employed. Whether or a user is interested in each concept in the knowledge graph is estimated by three elements: interest data; graph structure of the hobby as an example; and GCN. As a result of the evaluation experiment, the proposed method obtained good results on predicting unknown subjects of interests.
The generation of attractive sentences for consumers is an important issue. In this paper, we propose a new method to generate title sentences that are more popular on YouTube, which is gaining large popularity in recent years. In the proposed method, the automatic generation of titles is regarded as a sentence style transfer task; The title sentence generated by the video creator is transformed into a more attractive one. Specifically, first, the latent variable is obtained by the back translation method. In the back translation method, it translates the original title into another language and retranslates it into Japanese. Then, style transfer is performed based on this latent variable to generate a more attractive title sentence. In addition, transfer learning is employed to address the problem of scarce training data. Subjective evaluation experiments have been conducted to show the effectiveness of the proposed method.
With the promotion of the maintenance and utilization of domestic forest resources, a variety of educational activities, called “mokuiku,” which aims to raise awareness of forestation through hands-on experience with wood from early childhood, have been developed with a focus on “mokuiku” toys. In a preliminary study, through a survey and analysis of wooden toys, the author created an index that clearly indicated their educational characteristics and the relationship between children’s developmental stages and design. In this study, we created five prototype designs based on this index, and examined how they would affect children’s growth. The evaluation results of the experiments at the nursery school confirmed the educational effects of each of the prototypes on the nursery school children, including the development of fingertips, concentration, imagination, and coordination, suggesting that the toy designs created based on the indexes may promote children’s growth and development.
The face pareidolia phenomenon, incorrect perception of something that is not a face as a face, affects human cognition and behavior. Although some face pareidolia studies focus on event-related potentials (ERPs) as the physiological indicator, most of them use stimuli uncontrolled context, spatial frequency, and contrast. The physiological response induced by this stimulus might be influenced by contexts other than face-likeness. The current study estimated the ERP component that affects the face pareidolia phenomenon by measuring EEGs while evaluating face-like abstract figures’ face-likeness. Multiple regression analysis was performed to predict the face-likeness evaluation based on EEG data. As a result, the N170 component at the left posterior temporal area and the N400 component at the right frontal area were related to the pareidolia phenomenon.
Generally, in industrial design, sketching work is performed to search for the suitable shape and color for a concept including various impression word combinations. In sketching work, rookie designers take more time to reach shapes and colors that match the concept due to lack of knowledge and experience than skilled designers. Therefore, in this research, we developed a glasses design generation system that infers and visualizes suitable shapes of glasses from impression words using deep learning, aiming at educational effects for rookie designers. The purpose of the study is to clarify the relationship between impression words and shapes of glasses. In addition, to verify the usefulness of the system, we conducted an inference experiment on shapes of glasses for impression words with dimension compression by principal component analysis. As a result, it was confirmed that suitable shapes of the glasses for some impression words was inferred.
“Resolution” in music theory means the chord progression by the transition from dissonance to consonance. More profound satisfaction is provided to listeners by using the transition than consonant chord only. The authors assumed an analogy between temporal transitions in music and colors and found that the transition could improve consonance in some color arrangements. In this paper, abstract and concrete arrangements of three-color combinations are tested to find suitable ones to enhance the “resolution” effect. It is found that the effect is enhanced in curvy abstract arrangements like camouflage or wave patterns. It suggests that the “resolution” effect is enhanced in curvy or irregular geometries. It is observed that the effect occurs significantly in some animal characters and human faces. It suggests that the observers can feel strange on some animal characters and faces although the color combinations are consonant, and transitions can improve the consonance further.
“Resolution” in music theory means the chord progression by the transition from dissonance to consonance for providing more profound satisfaction to listeners than consonant chord only. The authors have investigated similar effects in temporal color transitions as an analogy of musical perception’s effect. In Part (1), the authors used various display patterns of three-colors combinations, measured the score of the color consonance with a sensory test, and revealed conditions where the “resolution” effect is enhanced. In Part (2), the authors focus on the conditions of gaze control. The fixation point appears as a small white dot on the black screen, and the observers are advised to fix their gaze onto the point. The white dot continues to appear while the observers watch the color arrangements and the transition. The experimental results suggest that the “resolution” effect appears more clearly when the color arrangements are captured in peripheral visual fields.
We investigated shapes of a cosmetics container, a lipstick container, that reflect consumer preferences for appearance. The target users were women in their teens and 20s. Their preferences were estimated by administering a questionnaire to 64 participants that assessed their impressions of lipstick container shapes. Lipstick container shapes were then generated on the basis of the findings and produced by 3D printing. They were compared with those of actual products likely to reflect consumer preferences for appearance by 43 participants. The results indicate that the generated container shapes create a sense of luxury.