Ryo Nishida, S. Shigenaka, Yusaku Kato, Masaki Onishi
{"title":"Recent Advances in Crowd Movement Space Design and Control using Crowd Simulation","authors":"Ryo Nishida, S. Shigenaka, Yusaku Kato, Masaki Onishi","doi":"10.1527/tjsai.37-2_j-lb1","DOIUrl":"https://doi.org/10.1527/tjsai.37-2_j-lb1","url":null,"abstract":"","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44744826","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}
{"title":"Estimation of Macroeconomic Activity by Using Measured CO₂ Concentration Based on Satellite Observation Data","authors":"Yoshiyuki Suimon, Hiroto Tanabe","doi":"10.1527/tjsai.37-2_d-lb2","DOIUrl":"https://doi.org/10.1527/tjsai.37-2_d-lb2","url":null,"abstract":"","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41939702","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}
{"title":"Scene Interpretation Method using Transformer and Self-supervised Learning","authors":"Kobayashi Yuya, Masahiro Suzuki, Y. Matsuo","doi":"10.1527/tjsai.37-2_i-l75","DOIUrl":"https://doi.org/10.1527/tjsai.37-2_i-l75","url":null,"abstract":"","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41251203","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}
Kenya Nonaka, Haruka Yamashita, Hajime Hotta, M. Goto
{"title":"A Method for Network Construction Based on Communication Data on Business Chat Application","authors":"Kenya Nonaka, Haruka Yamashita, Hajime Hotta, M. Goto","doi":"10.1527/tjsai.37-2_e-63","DOIUrl":"https://doi.org/10.1527/tjsai.37-2_e-63","url":null,"abstract":"Visualizing social relationships by a network is useful for understanding the behavior of groups and individuals. The target of this study is a network between employees in the workplace. The construction of this network enables us to understand human relationships and managing a team. To build this network, the questionnaire and E-mail data were conventionally used. However, in this work, we use conversation history data on a chat application(Slack, etc.). We propose a method of quantifying the relationship between employees from conversation data on a chat application and visualizing it as a network between employees. Specifically, we assume that strongly related employees will make remarks at adjacent times on the chat, quantify the relationship by multivariate Hawkes process and build a network. To verify the effectiveness of the proposed model, we used Slack conversation data of a real company and extracted knowledge about team management from the network.","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48525015","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}
{"title":"A Recommendation System for Cloud AI Services","authors":"Atsushi Hoshino, T. Saito, Mizuki Oka","doi":"10.1527/tjsai.37-2_f-l65","DOIUrl":"https://doi.org/10.1527/tjsai.37-2_f-l65","url":null,"abstract":"Many learned inference engines have been released as cloud-based AI services. However, learned AI services are black boxes, and it is difficult for users to decide which service to choose. We propose a comparison service to infer the best AI service by learning their different output results as training data. Our model, “AI for selecting the best AI,” involves meta-learning; it learns the output of the cloud-based AI service as metadata. We compared and evaluated the accuracy and cost of two proposed models that recommend the best among several commercial AI services and an ensemble method. The results of our experiments to infer face attributes (i.e., age and gender) on a face image dataset crawled from Wikipedia showed that the accuracy of our system was higher than that of single face classification cloud-based AI service. Notably, results on inferring age and gender, where training data for each service showed a significant difference in the tendency for accuracy, had 6.2% higher accuracy compared to existing cloud-based AIs.","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48553910","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}
{"title":"Removing Partial Mismatches in Unsupervised Image Captioning","authors":"Ukyo Honda, Atsushi Hashimoto, Taro Watanabe, Yuji Matsumoto","doi":"10.1527/tjsai.37-2_h-l82","DOIUrl":"https://doi.org/10.1527/tjsai.37-2_h-l82","url":null,"abstract":"","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46458160","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}
{"title":"Attitude towards Dialogue Robot as Interactional Practice","authors":"Masato Komuro, Kotaro Funakoshi","doi":"10.1527/tjsai.37-1_a-l61","DOIUrl":"https://doi.org/10.1527/tjsai.37-1_a-l61","url":null,"abstract":"The questions \"How human-like is this dialogue robot?\" and \"How natural was the conversation with this dialogue robot?\" are major concerns for dialogue robot researchers and developers. However, they have overlooked the way that unique conversational structures exist in actual conversations between humans and dialogue robots, which are different from those between humans. In this paper, we focus on the repetition of the user's own speech, and the user's commenting in the absence of a robot's response, in a conversation with a dialogue robot. These phenomena are unique to conversations with dialogue robots. When the user's speech is not inputted into dialogue robots, users often repeat their own speech. In addition, when the repeated speech is also not inputted to the dialogue robot, users often comment on the absence of response from the robot by giving reasons why the robot does not respond. These phenomena are organized in order, which means the repetition is performed firstly, and if the repeated speech is not inputted, then secondly, users will comment on the absence of response from the robot. We analyze these situations using conversation analysis methods, and discuss how these phenomena are organized in order, and how these phenomena are unique to conversations with dialogue robots. In the last part of the paper, we reconsider the \"human-likeness\" of dialogue robots.","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42782878","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}
{"title":"Japanese Writing Support System with Fast Grammatical Error Correction","authors":"Hiroki Homma, Mamoru Komachi","doi":"10.1527/tjsai.37-1_b-l22","DOIUrl":"https://doi.org/10.1527/tjsai.37-1_b-l22","url":null,"abstract":"","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48091902","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}
Atsuya Sakai, D. Pham, Shota Suzuki, Takumi Satō, Naoki Kawamura, Takayuki Ito
{"title":"Node Classification Using Gated Attention Network for Discussions","authors":"Atsuya Sakai, D. Pham, Shota Suzuki, Takumi Satō, Naoki Kawamura, Takayuki Ito","doi":"10.1527/tjsai.36-6_a-l24","DOIUrl":"https://doi.org/10.1527/tjsai.36-6_a-l24","url":null,"abstract":"","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42721845","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}
{"title":"Sigmoid-based Incorrect Opinion Prevention Algorithm on Multi-Opinion Sharing Model","authors":"Fumito Uwano, Eiki Kitajima, K. Takadama","doi":"10.1527/tjsai.36-6_b-kb2","DOIUrl":"https://doi.org/10.1527/tjsai.36-6_b-kb2","url":null,"abstract":"","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47253757","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}