Pub Date : 1900-01-01DOI: 10.5057/jjske.tjske-d-20-00010
Peeraya Sripian, M. Ohkura, Kejkaew Thanasuan, Keiko Miyatake
Because the color of lipstick is important for total fashion image, we tried to analyze the characteristics of colors of lipsticks of popular brands especially for Japanese female students. Preparing a database consists of 294 color images obtained from websites of lipsticks, we performed statistical analyses such as distribution chart and decision tree for their RGB values. The analysis results show that “MAC has relatively different RGB values from other brands,” “The products with high R values tend to be CHANEL,” and some similarities between brands. Those successfully gave the subjective evidences for the empirical knowledge of the fashion expert.
{"title":"Characterization of Lipstick Brands by the Color Feature Analysis","authors":"Peeraya Sripian, M. Ohkura, Kejkaew Thanasuan, Keiko Miyatake","doi":"10.5057/jjske.tjske-d-20-00010","DOIUrl":"https://doi.org/10.5057/jjske.tjske-d-20-00010","url":null,"abstract":"Because the color of lipstick is important for total fashion image, we tried to analyze the characteristics of colors of lipsticks of popular brands especially for Japanese female students. Preparing a database consists of 294 color images obtained from websites of lipsticks, we performed statistical analyses such as distribution chart and decision tree for their RGB values. The analysis results show that “MAC has relatively different RGB values from other brands,” “The products with high R values tend to be CHANEL,” and some similarities between brands. Those successfully gave the subjective evidences for the empirical knowledge of the fashion expert.","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127108735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5057/JJSKE.TJSKE-D-20-00018
S. Etoh
: In this study, I conducted a demonstration experiment using Yame tea for a taste preference matching system that can provide green tea that matches individual tastes, attempted to experimentally verify the effectiveness. The system was combining the ranking algorithm, the taste quality detection algorithm, and the taste preference matching algorithm. The subjects were able to know favorite Yame tea with the unknown and uneaten from the system by tasting the commercially available green tea and judging whether or not they liked it. Demonstration experiments were performed on 33 subjects, of which 12 subjects had the standard taste quality and taste data when selecting the preference for green tea, and all 12 subjects rated the Yame tea derived from our proposed system as “favorable.” As a result of including additional experiments, it was verified that the system was able to derive the Yame tea that suits subjects taste preference.
{"title":"Demonstration Experiment of Taste Preference Matching System","authors":"S. Etoh","doi":"10.5057/JJSKE.TJSKE-D-20-00018","DOIUrl":"https://doi.org/10.5057/JJSKE.TJSKE-D-20-00018","url":null,"abstract":": In this study, I conducted a demonstration experiment using Yame tea for a taste preference matching system that can provide green tea that matches individual tastes, attempted to experimentally verify the effectiveness. The system was combining the ranking algorithm, the taste quality detection algorithm, and the taste preference matching algorithm. The subjects were able to know favorite Yame tea with the unknown and uneaten from the system by tasting the commercially available green tea and judging whether or not they liked it. Demonstration experiments were performed on 33 subjects, of which 12 subjects had the standard taste quality and taste data when selecting the preference for green tea, and all 12 subjects rated the Yame tea derived from our proposed system as “favorable.” As a result of including additional experiments, it was verified that the system was able to derive the Yame tea that suits subjects taste preference.","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127220656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5057/jjske.tjske-d-22-00058
Kasumi Abe, Misato Kasuya, Yoshiki Higuchi, H. Sumioka, M. Shiomi, T. Nagai
{"title":"幼児向け遠隔対話ロボットの被接触情報を提示する方法の脳活動評価を用いた検討","authors":"Kasumi Abe, Misato Kasuya, Yoshiki Higuchi, H. Sumioka, M. Shiomi, T. Nagai","doi":"10.5057/jjske.tjske-d-22-00058","DOIUrl":"https://doi.org/10.5057/jjske.tjske-d-22-00058","url":null,"abstract":"","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127921107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5057/jjske.tjske-d-22-00055
H. Nagai, K. Sato, S. Nomura
{"title":"爪に含まれる性ホルモンの定量分析","authors":"H. Nagai, K. Sato, S. Nomura","doi":"10.5057/jjske.tjske-d-22-00055","DOIUrl":"https://doi.org/10.5057/jjske.tjske-d-22-00055","url":null,"abstract":"","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"437 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132621112","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5057/jjske.tjske-d-22-00070
Mai Kamihori, Kodai Ito, Kazuyuki Fujita, Yuichi Itoh
{"title":"口腔内への温度提示と食品の温度が食体験と味覚に与える影響","authors":"Mai Kamihori, Kodai Ito, Kazuyuki Fujita, Yuichi Itoh","doi":"10.5057/jjske.tjske-d-22-00070","DOIUrl":"https://doi.org/10.5057/jjske.tjske-d-22-00070","url":null,"abstract":"","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133557139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5057/jjske.tjske-d-21-00055
K. Ito, Katsuo Inoue
{"title":"Proposal of User Experience Analysis Method Applied Customer Satisfaction","authors":"K. Ito, Katsuo Inoue","doi":"10.5057/jjske.tjske-d-21-00055","DOIUrl":"https://doi.org/10.5057/jjske.tjske-d-21-00055","url":null,"abstract":"","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130702680","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5057/JJSKE.TJSKE-D-18-00039
S. Tanaka, Toshinobu Harada, Kenji Ono
: The cars are classified by cars’ body types. However the characteristics are basically similar at first sight, so it is difficult to distinguish the differences among those cars’ body types. Therefore, in this study, we considered that cars’ characteristics could be analyzed by using deep learning and image recognition technology, developed a system to visualize the judgment and characteristic parts of cars’ body types. Specifically, we made renderings of the CG model of 30 cars by setting 360 viewpoints in 1 degree increments around each car. Deep learning was performed using these 2D images as teacher signals. The car body type recognition probability of each angle is graphed, and the characteristic parts of each car body type are visualized. As a result, we clarified the visual angles and the pars contributing the judgment of cars’ body types.
{"title":"Analyses and Visualization of Characteristics of Car Body Types by Using Convolutional Neural Network","authors":"S. Tanaka, Toshinobu Harada, Kenji Ono","doi":"10.5057/JJSKE.TJSKE-D-18-00039","DOIUrl":"https://doi.org/10.5057/JJSKE.TJSKE-D-18-00039","url":null,"abstract":": The cars are classified by cars’ body types. However the characteristics are basically similar at first sight, so it is difficult to distinguish the differences among those cars’ body types. Therefore, in this study, we considered that cars’ characteristics could be analyzed by using deep learning and image recognition technology, developed a system to visualize the judgment and characteristic parts of cars’ body types. Specifically, we made renderings of the CG model of 30 cars by setting 360 viewpoints in 1 degree increments around each car. Deep learning was performed using these 2D images as teacher signals. The car body type recognition probability of each angle is graphed, and the characteristic parts of each car body type are visualized. As a result, we clarified the visual angles and the pars contributing the judgment of cars’ body types.","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130824943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5057/jjske.tjske-d-21-00013
Misako Yamagishi
Although older people are regulating their driving spontaneously as a compensation strategy for driving abilities changes, seasonality of driving habits might be associated with self-regulation of driving of older drivers. This study investigates driving habits and preliminary destination analysis from the GPS data on private vehicles of older people to discuss the usual self-regulation of driving and the present regulation. For driving habits, driving distance and frequency in January and February decrease compared to the other months, and the decrease is associated with uncontrolled external factors as climate conditions (temperature). A destination analysis of February indicates that the “other” category such as a private house, office building, station, where associated with a specific and individual purpose, decreased in contrast to the results of April. Older people may self-regulate visits family, the community, and social interests while maintaining essential activities in the present situation.
{"title":"Driving Destination Analysis using the GPS Data on Private Vehicles of Older People","authors":"Misako Yamagishi","doi":"10.5057/jjske.tjske-d-21-00013","DOIUrl":"https://doi.org/10.5057/jjske.tjske-d-21-00013","url":null,"abstract":"Although older people are regulating their driving spontaneously as a compensation strategy for driving abilities changes, seasonality of driving habits might be associated with self-regulation of driving of older drivers. This study investigates driving habits and preliminary destination analysis from the GPS data on private vehicles of older people to discuss the usual self-regulation of driving and the present regulation. For driving habits, driving distance and frequency in January and February decrease compared to the other months, and the decrease is associated with uncontrolled external factors as climate conditions (temperature). A destination analysis of February indicates that the “other” category such as a private house, office building, station, where associated with a specific and individual purpose, decreased in contrast to the results of April. Older people may self-regulate visits family, the community, and social interests while maintaining essential activities in the present situation.","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"3 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116578549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5057/jjske.tjske-d-19-00064
T. Nishimura, Jun Hirakawa, K. Doi, H. Fujimoto
: This study aimed to evaluate the influence of the work posture due to palm rejection on the mental workload caused by handwriting using a stylus. We conducted an experiment, in which the work posture due to palm rejection and the screen tilt angle were evaluated using the input time and the NASA task load index. The results indicated that when the screen tilt angle was 0–30°, the mental workload could be reduced by enabling palm rejection; however, the input time was not affected. Moreover, after examining the influence of the screen tilt angle, we concluded that tilting the screen by 20–30° would be most preferable, regardless of whether palm rejection occurred or not.
{"title":"Influence of Work Posture due to Palm Rejection on Mental Workload caused by Handwriting","authors":"T. Nishimura, Jun Hirakawa, K. Doi, H. Fujimoto","doi":"10.5057/jjske.tjske-d-19-00064","DOIUrl":"https://doi.org/10.5057/jjske.tjske-d-19-00064","url":null,"abstract":": This study aimed to evaluate the influence of the work posture due to palm rejection on the mental workload caused by handwriting using a stylus. We conducted an experiment, in which the work posture due to palm rejection and the screen tilt angle were evaluated using the input time and the NASA task load index. The results indicated that when the screen tilt angle was 0–30°, the mental workload could be reduced by enabling palm rejection; however, the input time was not affected. Moreover, after examining the influence of the screen tilt angle, we concluded that tilting the screen by 20–30° would be most preferable, regardless of whether palm rejection occurred or not.","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"18 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131001883","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 1900-01-01DOI: 10.5057/JJSKE.TJSKE-D-19-00002
Asami Inoue, M. Fukumoto
: Many papers and books on improving voice quality exist around the world. This suggests that some people want to change their voice. However, there is a difficult image on improving voice quality. The reason is that objectively evaluating your own voice training is difficult. In this study, to improve the voice quality based on the user’s voice, we propose a method to create ideal voice heard from other’s using software UTAU and Interactive Differential Evolution. As result of the search and evaluation experiments, the evaluation values significantly increased from the initial to the final generations. These results showed that the proposed method has the possibility of making the ideal voice of the user. Furthermore, overall convergence was observed when in the transition of individual parameters. Especially, in the transition of the parameter related to voice formant, obvious convergence was confirmed in 13 out of all 14 subjects.
{"title":"Investigation of Efficiency and Observation of Voice Quality Parameters in Ideal User’s Voice Creation using UTAU and Interactive Differential Evolution","authors":"Asami Inoue, M. Fukumoto","doi":"10.5057/JJSKE.TJSKE-D-19-00002","DOIUrl":"https://doi.org/10.5057/JJSKE.TJSKE-D-19-00002","url":null,"abstract":": Many papers and books on improving voice quality exist around the world. This suggests that some people want to change their voice. However, there is a difficult image on improving voice quality. The reason is that objectively evaluating your own voice training is difficult. In this study, to improve the voice quality based on the user’s voice, we propose a method to create ideal voice heard from other’s using software UTAU and Interactive Differential Evolution. As result of the search and evaluation experiments, the evaluation values significantly increased from the initial to the final generations. These results showed that the proposed method has the possibility of making the ideal voice of the user. Furthermore, overall convergence was observed when in the transition of individual parameters. Especially, in the transition of the parameter related to voice formant, obvious convergence was confirmed in 13 out of all 14 subjects.","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131168224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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