Transactions of The Japanese Society for Artificial Intelligence最新文献_第10页

Developing Culture Adaptation Agent for Werewolf Games 开发狼人游戏的文化适应代理

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-11-01 DOI: 10.1527/tjsai.36-6_d-l36

A. Takeda, F. Toriumi

引用次数: 0

Verification of Factors Promoting Creation of Outcomes of Co-Creation Activities 促进共创活动成果创造的因素验证

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-11-01 DOI: 10.1527/tjsai.36-6_e-ka1

Ryoji Horita, Takayuki Ito

{"title":"Verification of Factors Promoting Creation of Outcomes of Co-Creation Activities","authors":"Ryoji Horita, Takayuki Ito","doi":"10.1527/tjsai.36-6_e-ka1","DOIUrl":"https://doi.org/10.1527/tjsai.36-6_e-ka1","url":null,"abstract":"The purpose of this research is to verify the factors that promote creation of new outcomes through co-creation activities. The following three hypotheses were made; 1. The higher degree of achievements of aims set by the academic workshop, the more user activity on social media and the number of outcomes through co-creation projects created, 2. The more positive feedback on user activities on social media, the more user activity increases, 3. As the number of user activities on social media increases, the number of outcomes generated through co-creation projects increases. The target of this research was Special Interest Group on Crowd Co-Creation Intelligence at The Japanese Society for Artificial Intelligence. The feature of this group is to support creation of co-creation project and to promote activities by combining the academic workshop and social media. The following four data were analyzed; (a) Result of questionnaire conducted after academic workshops, (b) Log data of social media, (c) The number of new outcomes generated by co-creation activities. Each data of (a) to (c) were aggregated for each co-creation project. Spearman's rank correlation coefficient was calculated. A causal relationship model that affected the number of outcomes was constructed by path analysis using items which correlation was significant. As results, the following four findings were obtained; 1. Promoting the sharing of participants' activities and interests in the academic workshop activate the number of discussion on social media and increase the number of outcomes generated through co-creation projects, 2. Increasing the number of cheer for co-creation projects contributes to increasing the number of comments on social media and outcome of co-creation projects, 3. Supporting increase the number of comments on social media increases the number of outcomes generated by co-creation projects, 4. The causal relationship model that affects the number of outcomes had a certain validity.","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":"48930746","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}

引用次数: 0

Adjustment of the Number of Ride-Sharing Vehicles by Introducing the predeclaration on the expected time period of use 通过引入预期使用期限的预申报，调整共享出行车辆数量

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-11-01 DOI: 10.1527/tjsai.36-6_ag21-k

M. Ota, Y. Sakurai, T. Okadome, I. Noda

引用次数: 0

A Case Study of “ Phantom Genji Scrolls ” Painter School Identification by means of Deep Learning Technology 基于深度学习技术的“幻影源氏卷轴”画家流派识别案例研究

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-11-01 DOI: 10.1527/tjsai.36-6_f-l12

M. Inamoto, Talsunori Kato, A. Konagaya

引用次数: 0

Learning Teamwork Based on Leader’s Instructions and Coercion in the Continuous Space Pursuit Problem 连续空间追求问题中基于领导指示和胁迫的学习团队

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-09-01 DOI: 10.1527/TJSAI.36-5_E-K62

Natsuki Matsunami, S. Okuhara, Takayuki Ito

引用次数: 0

The Garbage Can Model with Time Constraints 具有时间约束的垃圾桶模型

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-09-01 DOI: 10.1527/TJSAI.36-5_AG21-J

Yutaka Ishida, E. Akiyama

引用次数: 0

Gaits Generation from a Mimetic Word based on Sound Symbolism 基于声音象征主义的拟声词步态生成

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-09-01 DOI: 10.1527/TJSAI.36-5_D-KC7

H. Kato, Takatsugu Hirayama, Keisuke Doman, I. Ide, Yasutomo Kawanishi, Daisuke Deguchi, H. Murase

{"title":"Gaits Generation from a Mimetic Word based on Sound Symbolism","authors":"H. Kato, Takatsugu Hirayama, Keisuke Doman, I. Ide, Yasutomo Kawanishi, Daisuke Deguchi, H. Murase","doi":"10.1527/TJSAI.36-5_D-KC7","DOIUrl":"https://doi.org/10.1527/TJSAI.36-5_D-KC7","url":null,"abstract":"The Japanese language is known to have a rich vocabulary of mimetic words, which have the property of sound symbolism; Phonemes that compose the mimetic words are strongly related to the impression of various phenomena. Especially, human gait is one of the most commonly represented phenomena by mimetic words expressing its visually dynamic state. Sound symbolism is useful for modeling the relation between gaits and mimetic words intuitively, but there has been no study on their intuitive generation. Most previous gait generation methods set specific class labels such as “elderly” but have not considered the intuitiveness of the generation model. Thus, in this paper, we propose a framework to generate gaits from a mimetic word based on sound symbolism. This framework enables us to generate gaits from one or more mimetic words. It leads to the construction of a generation model represented in a continuous feature space, which is similar to human intuition. Concretely, we train an encoder-decoder model conditioned by a “phonetic vector”, a quantitive representation of mimetic words, with an adaptive instance normalization module inspired by style transfer. The phonetic vector is a dense description of the intuitive impression of a corresponding gait and is calculated from many mimetic words in the HOYO dataset, which includes gait motion data and corresponding mimetic word annotations. Through experiments, we confirmed the effectiveness of the proposed framework.","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49580156","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}

引用次数: 0

Deep Mixture Point Processes: Spatio-Temporal Event Prediction with External Factor 深度混合点过程:考虑外部因素的时空事件预测

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-09-01 DOI: 10.1527/TJSAI.36-5_C-L37

Maya Okawa, Tomoharu Iwata, Takeshi Kurashima, Yusuke Tanaka, Hiroyuki Toda, N. Ueda, H. Kashima

引用次数: 0

ACT-Rによる内発的動機づけのモデル化:パターンマッチングに基づく知的好奇心のメカニズム ACT-R对内在动机进行建模:基于模式匹配的求知欲机制

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-09-01 DOI: 10.1527/TJSAI.36-5_AG21-E

Kazuma Nagashima, J. Morita, Yugo Takeuchi

引用次数: 0

Influence of Utterance Strategies to Get Closer Psychologically on Evaluation of Dialogue in a Non-task-oriented Dialogue System 非任务导向对话系统中话语策略对对话评价的心理影响

Transactions of The Japanese Society for Artificial Intelligence Pub Date : 2021-09-01 DOI: 10.1527/TJSAI.36-5_AG21-I

T. Miyamoto, Motoki Iwashita, Mizuki Endo, Nozomu Nagai, D. Katagami

{"title":"Influence of Utterance Strategies to Get Closer Psychologically on Evaluation of Dialogue in a Non-task-oriented Dialogue System","authors":"T. Miyamoto, Motoki Iwashita, Mizuki Endo, Nozomu Nagai, D. Katagami","doi":"10.1527/TJSAI.36-5_AG21-I","DOIUrl":"https://doi.org/10.1527/TJSAI.36-5_AG21-I","url":null,"abstract":"a user. On the other hand, individual differences in acceptability to utterances to get closer psychologically are considered to be large. In particular, we believe that the personality characteristics of the user affect the acceptability of utterances to get closer psychologically. So, we set research question 1: “How do user personality traits affect the acceptability of a non-task-oriented dialogue system with utterances get closer psychologically?” Also, utterances get closer psychologically has the risk of making the interlocutor uncomfortable. Therefore, in considering the implementation of utterances gets closer psychologically in a dialogue system, it is useful to examine how different strategies of utterances get closer psychologically affect the acceptability of a chatting dialogue system. So, we set research question 2: “How do different utterance strategies to get closer psychologically affect the acceptability of chatting dialogue systems?” To discuss these research questions, we conducted a dialogue experiment using a rule-based non-task-oriented dialogue system (n = 82). The results showed that for RQ1, among the five personality characteristics targeted in this experiment, the user’s diligence was related to the evaluation of the non-task-oriented dialogue system for utterance strategies to get closer psychologically used in this experiment in the subjective index, and extroversion, neurotic tendency, and openness in the objective index (likability based on user utterances). For research question 2, the experimental results showed that the acceptability between utterance strategies to get closer psychologically was significantly different in the viewpoint of the subjective index. These findings contribute to the design of a non-task-oriented dialogue system.","PeriodicalId":23256,"journal":{"name":"Transactions of The Japanese Society for Artificial Intelligence","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2021-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47277358","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}

引用次数: 1