This study aims to acquire the vocabulary of cosmetics and makeup techniques used for searching for an intended scene from makeup movies. When applying cosmetics, it is necessary to appropriately select a set of cosmetics by considering individual preferences, affective senses, and physical constitutions. Makeup movies are gaining popularity as reference information for applying makeup and are becoming as crucial as traditional information media. Currently, people retrieve makeup videos on a video-by-video basis, and methods for retrieving specific processes in makeup movies have not yet been developed. As the first step in developing such a system, this paper conducted a fundamental analysis of vocabulary collected from cosmetic reviews and speech in makeup movies. The characteristics of each modal were studied, focusing on the semantics of sentences and word categories. As a result, each data source contains different types of cosmetic vocabulary. This result implies that using each data source in a combining manner to build a vocabulary is a rational way to expand the vocabulary efficiently.

Customer Satisfaction (CS) is an indicator of customer satisfaction with the services and products offered by a company, and improving CS is one of the most important issues for a company. However, it is not easy to find a way to improve CS. This is because services and products are evaluated from many axes, such as their quality, price, the way they are provided, the place where they are provided, and the satisfaction obtained when using them, and it is difficult to determine which of these evaluation axes should be solved in order to improve CS. The evaluation axes include total satisfaction, which is the answer to a question that asks about overall satisfaction with a company, such as “Over all satisfaction with this company,” and individual items, which are the answers to individual questions related to company satisfaction. There are existing methods called CS Portfolio Analysis and Importance-Performance Analysis (IPA) that calculate and visualize the correlation between overall satisfaction and the importance of individual items to it, and there are previous studies that have applied these methods to companies and specific domains. There are previous studies that have applied these methods to companies and specific domains. In this paper, we review the existing studies on CS Portfolio Analysis and IPA，and propose a method to visualize and rank the issues of introducing competitive elements in multiple companies by introducing the variation of individual satisfaction levels among companies in the same domain. The usefulness of the proposed visualization and issue ranking method is examined by comparing the accuracy of graph interpretation after visualization and the accuracy of issue priority order extraction with the baseline conventional method and the residual sum error considering the ranking, using the four industry 10-point Likert scale satisfaction data set of oricon ME Inc., a Japanese marketing and research company. The results show that this method is more useful than the conventional CS Portfolio Analysis for visualization and issue detection, because it can take into account not only the difference and ratio of satisfaction with the target organization but also the position of the target organization in relation to other companies within the same industries.

This paper proposes the approach of supporting Web information access based on relevant sentence search. A typical information retrieval using words as queries tends to let users focus on only top-ranked documents or fail to find relevant words as queries, which would lead to the bias in information collected by users. To mitigate such problems, the proposed approach extracts relevant words from the retrieved result and generates abstracts based on the extracted relevant words. The experimental result using the prototype interface shows the possibility that the proposed relevant sentence search can reduce the difference in the scope of exploration among the test participants.

In this study, we propose a rhythm correction system for promoting motivation towards exercise. Recently, music-based exercise has been attracting attention as an approach for preventive care. However, some elderly people may experience a large discrepancy between the rhythm of the music and their own movements, which prevents them from enjoying exercise and reduces their motivation towards exercise. As a promising approach to solve such issue, we developed a system that aims at correcting discrepancy between musical rhythm and movements according to the characteristics of each user. An experimental evaluation was carried out and results hinted at the potential of the system for enhancing users’ sensation of getting into the rhythm and improving their motivation towards exercise.

False memory is a phenomenon of “remembering what has not happened” or “remembering what quite differently from the way they happened.” In many studies with DRM paradigm which easily generates this phenomenon, the experimental participants perform the cognitive tasks alone. In this study, we analyzed an influence of relationships with others on the generation of false memories. Participants in this experiment memorized words selected based on the DRM paradigm and shared the information about the words with the agent with text-to-speech software through an online conferencing system. We analyzed the influence of explicit information on the reliability of the agent, the influence of the impression factor of others, and the influence of confirming the relationship through courtesy. As a result, the rate of false memory increased when the explicit reliability level matched the perceived reliability level of the participants, and the rate of false memory generation for male agents was higher than for female one. The results also indicated that the rate of false memory generation increased when the participants performed polite behavior. The lower rate of false memory generation than in previous studies suggests that interaction with the agent inhibits false memory generation.