<?xml version="1.0" encoding="Windows-31J"?>
<ArticleSet xmlns="http://www.openarchives.org/OAI/2.0/">
  <Article>
    <Journal>
      <PublisherName>Taylor and Francis</PublisherName>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn>1044-7318</Issn>
      <Volume>36</Volume>
      <Issue>16</Issue>
      <PubDate PubStatus="ppublish">
        <Year>2020</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Estimating Level of Engagement from Ocular Landmarks</ArticleTitle>
    <FirstPage LZero="delete">1527</FirstPage>
    <LastPage>1539</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Zeynep</FirstName>
        <LastName>Yucel</LastName>
        <Affiliation>Department of Computer Science, Division of Industrial Innovation Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Serina</FirstName>
        <LastName>Koyama</LastName>
        <Affiliation>Department of Computer Science, Division of Industrial Innovation Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Akito</FirstName>
        <LastName>Monden</LastName>
        <Affiliation>Department of Computer Science, Division of Industrial Innovation Sciences, Okayama University</Affiliation>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mariko</FirstName>
        <LastName>Sasakura</LastName>
        <Affiliation>Department of Computer Science, Division of Industrial Innovation Sciences, Okayama University</Affiliation>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>E-learning offers many advantages like being economical, flexible and customizable, but also has challenging aspects such as lack of &#8211; social-interaction, which results in contemplation and sense of remoteness. To overcome these and sustain learnersf motivation, various stimuli can be incorporated. Nevertheless, such adjustments initially require an assessment of engagement level. In this respect, we propose estimating engagement level from facial landmarks exploiting the facts that (i) perceptual decoupling is promoted by blinking during mentally demanding tasks; (ii) eye strain increases blinking rate, which also scales with task disengagement; (iii) eye aspect ratio is in close connection with attentional state and (iv) usersf head position is correlated with their level of involvement. Building empirical models of these actions, we devise a probabilistic estimation framework. Our results indicate that high and low levels of engagement are identified with considerable accuracy, whereas medium levels are inherently more challenging, which is also confirmed by inter-rater agreement of expert coders.</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList/>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName/>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn/>
      <Volume/>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2003</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>A three-dimensional visualization of communications in distributed program environments</ArticleTitle>
    <FirstPage LZero="delete">132</FirstPage>
    <LastPage>137</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Mariko</FirstName>
        <LastName>Sasakura</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Susumu</FirstName>
        <LastName>Yamasaki</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>&lt;p&gt;In order to understand the behaviour of distributed program environments, we describe a three-dimensional visualization of communications. Most previous visualizations presented communications by means of the two dimensions of time and process, however, three dimensions are required to represent a message intermediary with visualization functions. We make use of a semantic configuration of messages, which is constructed by the quantities for three parametric factors: (i) time sequence, (ii) identifications of processors, and (iii) message exchanges.&lt;/p&gt;
</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">distributed programming</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">logic programming</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">message passing</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">program visualisation</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName/>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn/>
      <Volume/>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2005</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Visualization for management of electronics product composition</ArticleTitle>
    <FirstPage LZero="delete">194</FirstPage>
    <LastPage>199</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Iwata</FirstName>
        <LastName>Kenichi</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Mariko</FirstName>
        <LastName>Sasakura</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Susumu</FirstName>
        <LastName>Yamasaki</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>&lt;p&gt;There are some systems called supply chain management system or value chain management system that manages production. It is a powerful tool in normal cases, but in a problem such that some parts are out of stock, it can solve the problem only by simple solutions, like postponing shipping of the product because it does not have enough information about production and functions to use the various information. Our research is concerned with a system to integrate information about production and show a solution to help users to judge which way is better to solve the problem. We implemented a prototype system. It takes inputs of some information that were not integrated in one place in former systems, but distributed among systems, people, or sections. It shows a solution for a problem making use of the information integrated in the system. The solution comes as process of reasoning to help user to judge what is the best to do in the case. We also implemented the user interface to show the process of reasoning.&lt;/p&gt;
</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">data visualisation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">inference mechanisms</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">product development</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">production management</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">supply chain management</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">user interfaces</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName/>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn/>
      <Volume/>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2001</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>A visualization method for knowledge represented by general logic programs</ArticleTitle>
    <FirstPage LZero="delete">135</FirstPage>
    <LastPage>140</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Mariko</FirstName>
        <LastName>Sasakura</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>&lt;p&gt;We describe a visualization method for general logic clauses as the first step of a visualization of logic programs. Since we think inclusion is essential to represent an outline of knowledge, we propose a method based on Euler diagrams to visualize inference rules represented as a set of general logic clauses which consist of literals with no variable. We develop a prototype system and show that complex rules which are hard to understand in text are easy to understand by diagrams&lt;/p&gt;
</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">diagrams</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">inference mechanisms</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">knowledge representation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">logic programming</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">program visualisation</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName/>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn/>
      <Volume/>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2006</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>An interactive environment for generating sequential information</ArticleTitle>
    <FirstPage LZero="delete"/>
    <LastPage/>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Mariko</FirstName>
        <LastName>Sasakura</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Kenichi</FirstName>
        <LastName>Iwata</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Susumu</FirstName>
        <LastName>Yamasaki</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>&lt;p&gt;We propose an interactive environment in which we can generate sequential information. Sequential information is a sequence of movements which makes changes of situations. The system allows a user to construct an environment for generating sequential information. We provide interactions and visualization for sequential information generation based on theoretical grounds.&lt;/p&gt;
</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">Sequential information generation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">interactive</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
  <Article>
    <Journal>
      <PublisherName/>
      <JournalTitle>Acta Medica Okayama</JournalTitle>
      <Issn/>
      <Volume/>
      <Issue/>
      <PubDate PubStatus="ppublish">
        <Year>2004</Year>
        <Month/>
      </PubDate>
    </Journal>
    <ArticleTitle>Visualization with hierarchically structured trees for an explanation reasoning system</ArticleTitle>
    <FirstPage LZero="delete">893</FirstPage>
    <LastPage>898</LastPage>
    <Language>EN</Language>
    <AuthorList>
      <Author>
        <FirstName EmptyYN="N">Mariko</FirstName>
        <LastName>Sasakura</LastName>
        <Affiliation/>
      </Author>
      <Author>
        <FirstName EmptyYN="N">Susumu</FirstName>
        <LastName>Yamasaki</LastName>
        <Affiliation/>
      </Author>
    </AuthorList>
    <PublicationType/>
    <ArticleIdList>
      <ArticleId IdType="doi"/>
    </ArticleIdList>
    <Abstract>&lt;p&gt;This work is concerned with an application of drawing hierarchically structured trees. The tree drawing is applied to an explanation reasoning system. The reasoning is based on synthetic abduction (hypothesis) that gets a case from a rule and a result. In other words, the system searches a proper environment to get a desired result. In order that the system may be reliably related to the amount of rules which are used to get the answer, we visualize a process of reasoning to show how rules have concern with the process. Since the process of reasoning in the system makes a hierarchically structured tree, the visualization of reasoning is a drawing of a hierarchically structured tree. We propose a method of visualization that is applicable to the explanation reasoning system.&lt;/p&gt;
</Abstract>
    <CoiStatement>No potential conflict of interest relevant to this article was reported.</CoiStatement>
    <ObjectList>
      <Object Type="keyword">
        <Param Name="value">data visualisation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">explanation</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">inference mechanisms</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value">knowledge based systems</Param>
      </Object>
      <Object Type="keyword">
        <Param Name="value"> trees (mathematics)</Param>
      </Object>
    </ObjectList>
    <ReferenceList/>
  </Article>
</ArticleSet>
