著者
山本 祐輔 嶋田 敏
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.32, no.1, pp.WII-L_1-12, 2017-01-06 (Released:2017-01-20)
参考文献数
24
被引用文献数
2

During web search and browsing, people often accept misinformation due to their inattention to information credibility and biases. To obtain correct web information and support effective decision making, it is important to enhance searcher credibility assessment and develop algorithms to detect suspicious information. In this paper, we investigate how credibility alarms for web search results affect searcher behavior and decision making in information access systems. This study focuses on disputed topic suggestion as a credibility alarm approach. We conducted an online user study in which 92 participants performed a search task for health information. Through log analysis and user surveys, we confirmed the following. (1) Disputed topic suggestion in a search results list makes participants spend more time browsing pages than ordinary search conditions, thereby promoting careful information seeking. (2) Disputed topic suggestion during web browsing does not change participant behaviors but works as complementary information. This study contributes to system designs to enhance user engagement in critical and careful information seeking.
著者
鍵谷 龍樹 白川 由貴 土斐崎 龍一 渡邊 淳司 丸谷 和史 河邉 隆寛 坂本 真樹
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.30, no.1, pp.237-245, 2015-01-06 (Released:2015-01-06)
参考文献数
25
被引用文献数
1

We feel some liquids such as honey or oil more viscous than others like water. Viscosity perception is frequently expressed by onomatopoeia, a set of words that are often used to express sensory experiences in Japanese. For example, we would say honey is “toro-toro” or oil is “doro-doro”. In this paper we investigated the associations between phonemes of Japanese onomatopoeia for expressing viscosity and subjective evaluations of viscosity. Specifically, we performed psychological experiments where participants watched some static images and dynamic images. Participants were asked to express the visual sensations by onomatopoeia and rate the degree to which they felt the objects viscous. This experiment was aimed at specifying the systematic association between phonemes of Japanese onomatopoeic words and viscous evaluations. Our results showed the existence of some associations between the phonemes of the words for expressing the sensation and the evaluations of viscosity and showed the possibility to construct a system to recommend viscosity animations by onomatopoeia. The system proposed in this paper recommends viscosity animations consistent with onomatopoetic expressions based on Japanese sound symbolism. Our system comprises a user interface module, an onomatopoeia parsing module, and a database. Our system can evaluate the subtle difference in viscosity feelings expressed by onomatopoeic words which are different in phonemes.
著者
西村 悟史 大谷 博 畠山 直人 長谷部 希恵子 福田 賢一郎 來村 徳信 溝口 理一郎 西村 拓一
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.32, no.4, pp.C-G95_1-15, 2017-07-01 (Released:2017-07-03)
参考文献数
17
被引用文献数
4

The amount of costs for long-term care is increasing because of aging society. It is important to improve quality of care process. We focus on sharing the knowledge of care process in care facility to achieve the goal. There are some issues to share the knowledge. (1) The knowledge is implicit on the care workers. (2) It is difficult to unite the knowledge as world standard because of its variety. We proposed the methodology of "knowledge explication" to overcome these issues. The methodology is (1) to explicate the knowledge of care process by employees in care facility. (2) It is performed on each care facility so they can explicate the facility-specific knowledge of care process. We applied the methodology to two care facilities and evaluate it. The explicated knowledge is 1.8 times more than the knowledge from textbook. We also confirmed the efficiency of the methodology by questionnaire to the participants.
著者
宮田 一乘 笠尾 敦司
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会全国大会論文集 第18回全国大会(2004)
巻号頁・発行日
pp.53, 2004 (Released:2006-02-11)

現在構築しているNPR表現システムには,モジュールの一部にユーザーが直接関数を書き込み,それを反映させて画像にNPR表現を与えることのできるインターフェイスが盛り込まれている.現在の多くのシステムは,アルゴリズムで動いているにも関わらず,利用者にそのことを意識させることは皆無である.しかし,多くのメディアアーティストが指摘するように、本当にシステムを使いこなして作品を作り上げるためには,基本的なアルゴリズムを理解する必要がある.本論文では,ユーザーがシステムを理解するための手がかりにできるような関数ウインドをシステムに組み込んだ実装例を報告する.
著者
石橋 賢 深瀧 創 宮田 一乘
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.30, no.1, pp.229-236, 2015-01-06 (Released:2015-01-06)
参考文献数
13
被引用文献数
4

Recently, sizzle words have been utilized for various product packages. These words have effective communicative performance to convey deliciousness of food. In particular, onomatopoeias are used for many product packages because they can convey the texture of food sensuously. When using sizzle words, producers may consider consumers' impressions. This study aims to investigate the relations between consumers' impressions and sizzle words through an experiment. The experimental targets were four rice crackers of different hardness because their textures were directly related to consumers' impressions and some packages of rice crackers used a few sizzle words for advertising. The results of this experiment indicated five tendencies: (1) the sizzle words regarding satisfaction, tradition, and typicality, and the onomatopoeias including “zaku” are appropriate for an extremely hard rice cracker; (2) the sizzle words regarding lightness and comfort, and the onomatopoeias including “saku” are appropriate for a non-hard rice cracker; (3) the sizzle words regarding aridity, fineness, and unforgettable taste are appropriate for a slightly hard rice cracker; (4) the onomatopoeias expressing crunchy texture are appropriate for a quite hard rice cracker; (5) rough texture of food brings a sense of satiety. In addition, we performed a factor analysis using the results with 14 onomatopoeias in the experiment. The analysis results showed three factors: brittleness, irritation, and lightness. In future, we expect that these results can be utilized for guiding a choice of an appropriate sizzle word.
著者
前野 義晴 森永 聡 松島 宏和 天谷 健一
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.27, no.6, pp.338-345, 2012 (Released:2012-10-02)
参考文献数
21
被引用文献数
1 2

This study presents a computer simulation model to analyze the risk of transmission of financial distress in a bank credit network and the knock-on defaults of banks. The impact is quantified, which is imposed on the number of defaults by the topology of the bank credit network, the balance sheet of banks including equity capital ratio, and the capital surcharge on big banks.
著者
増田 壮志 古崎 晃司
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.32, no.2, pp.E-G71_1-10, 2017-03-01 (Released:2017-03-01)
参考文献数
17

Ontologies are currently constructed in various fields, such as life sciences, medical information, and sustainability science. These ontologies are used as knowledge bases and knowledge models for application systems. However, it is difficult to build high quality ontologies due to the necessity of having both knowledge of ontology and expertise in the target domain. Therefore, ontology construction and maintenance costs considerable time and effort. To reduce such costs, we developed an ontology refinement support method. To test and confirm this refinement method, we focused on the guideline for building well-organized ontologies that“ Each subclass of a super class is distinguished by the values of exactly one attribute of the super class. ”Then, we discovered that there is a similarity between is-a hierarchies when an ontology is built following this guideline and made the hypothesis that, if subclasses are not classified by one attribute, there are consistency errors in the ontology that can be automatically fixed by a comparison method of is-a hierarchies. To test this hypothesis, we conducted an experiment to evaluate the refinement method. We asked nine experienced evaluators to build the ontology and used 150 refinement proposals. As a result, we found that at most 90% of the refinement candidates could be further refined and that at most approximately 50% of the refinement proposals are appropriate to apply to ontologies.
著者
山下 諒 朴 炳宣 松下 光範
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.32, no.1, pp.WII-D_1-11, 2017-01-06 (Released:2017-01-20)
参考文献数
29

The purpose of this research is supporting information access based on the contents of comic books. To meet this purpose, it is necessary to obtain information related to the story and the characters of a comic. We propose a method to extract information from reviews on the Web by using term frequency-inversed document frequency (TFIDF) method and hierarchical Latent Dirichlet Allocation (hLDA) method, which intends to solve the problem. By using these methods, we build a prototype system for exploratory comic search. We conducted a user study to observe how a participant use the system. The user study showed that the system successfully supported the participants to find interesting unread comics.
著者
大谷 世紀 山西 良典 岩堀 祐之
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.32, no.1, pp.WII-N_1-10, 2017-01-06 (Released:2017-01-20)
参考文献数
17
被引用文献数
3

Image database is one of the important research topics in image recognition. A manual collection of images would causes biased collection and a lot of human efforts. Huge image database where varied and many unbiased objects are stored is required for the image learning. Recent researches for image database try to automatically/semiautomatically generate image database. Here, it is important to remove noise images and this paper proposes an automatic generation method of the Web image database. The proposed method uses noise image removal by visual feature and semantic feature in a hybrid. However, which type of features, and how to combine the two types of feature are not clear and should be investigated. In this paper, six kinds of noise image detection method are prepared: The method using visual feature, the method using semantic feature, two methods using both features in parallel and two methods using both features in serial. Through the comparison in experiments, it was confirmed that the method using both visual and semantic features in parallel focusing on noise images showed over 82% Precision values,76% Recall values and 77% Fmeasure values in average. Also, the usability of the generated database for image recognition was confirmed through the experiments; It was equal to or higher than the human-made database. It was confirmed that the proposed method constructed precise image database full-automatically.
著者
角 康之 河村 竜幸
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会全国大会論文集 第20回全国大会(2006)
巻号頁・発行日
pp.260, 2006 (Released:2006-12-07)

体験を共有し合う人たちのコミュニケーションを支援することを目的として、体験を記録・利用することの社会的要求と技術動向を概観し、今後の展望を議論する。
著者
松村 真宏 大澤 幸生 石塚 満
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.17, no.3, pp.259-267, 2002 (Released:2002-04-25)
参考文献数
14
被引用文献数
13 36

Business people, especially marketing researchers, are keen to understand peoples' potential sense of value to create fascinating topics stimulating peoples' interest. In this paper, we aim at finding influential people, comments, and terms contributing the discovery of such topics. For this purpose, we propose an Influence Diffusion Model in text-based communication, where the influence of people, comments, and terms are defined as the degree of text-based relevance of messages. We apply this model to Bulletin Board Service(BBS) on the Internet, and present our discoveries on experimental evaluations.
著者
沼 晃介 大向 一輝 濱崎 雅弘 武田 英明
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会全国大会論文集 第18回全国大会(2004)
巻号頁・発行日
pp.131, 2004 (Released:2006-02-11)

本発表では,Weblogにおける文書作成のための情報検索および提示システムについて述べる.関連文書の検索手法として自分を中心としたネットワークを利用するエゴセントリック情報検索を提案する.
著者
菊地 剛正 國上 真章 山田 隆志 高橋 大志 寺野 隆雄
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.31, no.6, pp.AG-G_1-11, 2016-11-01 (Released:2016-11-02)
参考文献数
33
被引用文献数
2

Since systemic risk in recent financial crisis has received attention, a wide variety of studies on how financial regulations should be reformed to control such risk have been progressed. Among these, mathematical and computational studies have analyzed the way how the borrowing and lending banks and the borrowers go bankrupt in the chain via interbanking network. This study deals with a chain of bankruptcies of financial institutions endogenously caused by deterioration of their financial situations from the changes in prices of risky assets by focusing on the macro-level collapse caused by the shock stemming from the general market risk factors addressed in theoretical studies after the crisis in 2008. For this purpose, the authors develop an agent-based simulation platform and then examine how current systemic management regulations affect corresponding bankruptcies. The main findings are as follows: First, pertinent management regulations are dependent on the market environment. Second, some combination of management regulations may increase the possibilities of bankruptcies due to more sensitivity toward the market change.
著者
伊藤 一之 松野 文俊
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.16, no.6, pp.510-520, 2001 (Released:2002-02-28)
参考文献数
19
被引用文献数
2 7

Reinforcement learning has recently received much attention as a learning method for complicated systems, e.g., robot systems. It does not need prior knowledge and has higher capability of reactive and adaptive behaviors. However increase in dimensionality of the action-state space makes it diffcult to accomplish learning. The applicability of the existing reinforcement learning algorithms are effective for simple tasks with relatively small action-state space. In this paper, we propose a new reinforcement learning algorithm: “Q-learning with Dynamic Structuring of Exploration Space Based on Genetic Algorithm ”. The algorithm is applicable to systems with high dimensional action and interior state spaces, for example a robot with many redundant degrees of freedom. To demonstrate the effectiveness of the proposed algorithm simulations of obstacle avoidance by a 50 links manipulator have been carried out. It is shown that effective behavior can be learned by using the proposed algorithm.
著者
Hirahara Yuki Toriumi Fujio Sugawara Toshiharu
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
pp.JWEIN-K, (Released:2016-01-28)
参考文献数
17

We propose an SNS-norms game to model behavioral strategies in social networking services (SNSs) and investigate the conditions required for the evolution of cooperation-dominant situations. SNSs such as Facebook and Google+ are indispensable social media for a variety of social communications ranging from personal chats to business and political campaigns, but we do not yet fully understand why they thrive and whether these currently popular SNSs will remain in the future. A number of studies have attempted to understand the conditions or mechanisms that keep social media thriving by using a meta-rewards game that is the dual form of a public goods game or by analyzing user roles. However, the meta-rewards game does not take into account the unique characteristics of current SNSs. Hence, in this work we propose an SNS-norms game that is an extension of Axelrod's metanorms game, similar to meta-rewards games, but that considers the cost of commenting on an article and who is most likely to respond to it. We then experimentally investigated the conditions for a cooperation-dominant situation, by which we mean many users continuing to post articles on an SNS. Our results indicate that relatively large rewards compared to the cost of posting articles and comments are required to evolve cooperation-dominant situations, but optional responses with lower cost, such as ``Like!'' buttons, facilitate the evolution. This phenomenon is of interest because it is quite different from those shown in previous studies using meta-rewards games. We also confirmed the same phenomenon in an additional experiment using a network structure extracted from real-world SNS data.
著者
中道 大介 西尾 修一
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.31, no.2, pp.H-F81_1-10, 2016-03-01 (Released:2016-02-18)
参考文献数
12
被引用文献数
5

Teleoperation enables us to act in remote location through operated entities such as robots or virtual agents. This advantage allows us to work in places dangerous for humans or places not designed for humans such as in volcano disaster site or in narrow maintenance pipes. However, teleoperation also has a weakness, namely, several gaps (operation interface, environment, appearance, and intentionality) among ourselves and the teleoperated entities in remote. As teleoperated robots own physical bodies different from us, teleoperation requires special interfacing systems that are usually not so intuitive. Such a system requires rather long period of training for one to become familiar with it. One possible solution for this issue is to implement semi-autonomous teleoperation (SAT) facility which combines manual operation and autonomous action. With SAT, we can teleoperate remote entities in a way suitable to the teleoperated entity and to the situation in remote with the help of autonomous action. However, there is a concern that this autonomous part of SAT may decrease operators' feeling of agency and consequently, operators may lose concentration and become less efficient. To deal with this issue, we made a hypothesis that if an autonomously generated action is sufficiently suitable to the situation, operators would feel their own agency to the generated action. In this paper, we examined this hypothesis through an experiment where participants joined a conversation using a teleoperated android robot. Here we focused on autonomous generation of nodding act and evaluated operators' agency toward the generated actions. Participants listened to a speech through the teleoperated robot with different degree of autonomous motion generation. After a series of listening, they watched video recordings taken from the speaker's view that showed the teleoperated robot in action, and evaluated their agency toward the action and the appropriateness of robot's motion toward the speaker. As a result, we found that as timing of nodding become appropriate to the conversation context, the operators kept agency to robot's motion, even when the automatically generated motion and the operator's own motion were mixed. Furthermore, the robot motion which was automatically generated was evaluated more appropriate to the conversation than the operator's own motion. In conclusion, when using semi-autonomous teleoperation, if the autonomous action is appropriate to the situation, operators are able to keep agency to operated entities' acts.
著者
須永 剛司
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会全国大会論文集 第22回全国大会(2008)
巻号頁・発行日
pp.41, 2008 (Released:2009-07-31)

ここで紹介するプロジェクトは、市民のメディア表現をより豊に、持続的に育むことを目指した、情報デザインの学際的な共同研究である。研究の目的は、プロの芸術家ではなく、一般市民が日常生活の中で展開するメディア表現活動を支援する基盤をつくることにある。デジタルメディアを活用したさまざまな表現の創造・共有・交換ための、文化的プログラムと技術的システムを複合的に研究開発ししている。文理を横断する4つの研究グループによる学際的な協働と展開を報告する。
著者
早矢仕 晃章 大澤 幸生
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.31, no.5, pp.A-G15_1-9, 2016-09-15 (Released:2016-08-15)
参考文献数
16
被引用文献数
6

The potential desire of companies for creating values by combining data from different domains has been increased. In order to lead data-driven innovations, a market of data is expected to enhance this combination and data exchange through the communication among stakeholders. Innovators Marketplace on Data Jackets (IMDJ) is a gamified workshop for discovering the value of data by discussing the combination of Data Jackets, which supports creativity toward innovations and activates a market of data. A Data Jacket is meta-data, i.e., a summary of a dataset. Even if the data is not open, a Data Jacket enables participants to consider the latent value of datasets through creative communication. In this study, we discuss a system for structuring and reusing knowledge of data utilization, which are created in the workshops of IMDJ. By modeling and structuring knowledge not only with datasets, but also with solutions or requirements, it is expected to be possible to retrieve important information about solving problems. By implementing structured knowledge of data utilization using RDF (Resource Description Framework) and designing the interface for extracting accurate information for users, we propose the retrieval system named Data Jacket Store, and evaluate the performance.
著者
安田 雪 松尾 豊 武田 英明
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会全国大会論文集 第20回全国大会(2006)
巻号頁・発行日
pp.69, 2006 (Released:2006-12-07)

本発表では、人工知能学会においてWebマイニングを用いて得られた4年分のネットワークを用い、ネットワーク分析を行う。特に、ネットワークの時系列的な分析、また局所的なコミュニティの分析を行う。
著者
小林 重信
出版者
一般社団法人 人工知能学会
雑誌
人工知能学会論文誌 (ISSN:13460714)
巻号頁・発行日
vol.24, no.1, pp.147-162, 2009 (Released:2009-01-06)
参考文献数
37
被引用文献数
43 63

Real-coded genetic algorithms (RCGA) are expected to solve efficiently real parameter optimization problems of multimodality, parameter dependency, and ill-scale. Multi-parental crossovers such as the simplex crossover (SPX) and the UNDX-m as extensions of the unimodal normal distribution crossove (UNDX) show relatively good performance for RCGA. The minimal generation gap (MGG) is used widely as a generation alternation model for RCGA. However, the MGG is not suited for multi-parental crossovers. Both the SPX and the UNDX-m have their own drawbacks respectively. Therefore, RCGA composed of them cannot be applied to highly dimensional problems, because their hidden faults appear. This paper presents a new and robust faramework for RCGA. First, we propose a generation alternation model called JGG (just generation gap) suited for multi-parental crossovers. The JGG replaces parents with children completely every generation. To solve the asymmetry and bias of children distribution generated by the SPX and the UNDX-m, an enhanced SPX (e-SPX) and an enhanced UNDX (e-UNDX) are proposed. Moreover, we propose a crossover called REX(φ,n+k) as a generlization of the e-UNDX, where φ and n+k denote some probability distribution and the number of parents respectively. A concept of the globally descent direction (GDD) is introduced to handle the situations where the population does not cover any optimum. The GDD can be used under the big valley structure. Then, we propose REXstar as an extention of the REX(φ,n+k) that can generate children to the GDD efficiently. Several experiments show excellent performance and robustness of the REXstar. Finally, the future work is discussed.