Ryo Onuma

Methods for extracting the polish contexts in research document creation

Intellectual document creation and its polish represent an important phase in research activities. This kind of documenting consists of multiple tasks. Such combined documenting involves the contexts in their processes of polish. Polish contexts are often valuable hints that can be utilized for later work. However, it is difficult for most users, especially research beginners, to manage the polish contexts and satisfactorily utilize them. This research was aimed at developing methods for extracting the contexts and organizing them so that users could easily reflect on the contexts. A method for extracting important portions of the generated context information network is also proposed. The effectiveness and features of the proposed methods are discussed based on the results obtained from experiments.

Hybrid Analysis of Audience Gaze and Slide Construction to Obtain the Clues for Improving Presentations

Abstract The aim of this research is to develop a novel mechanism for finding clues to improve presentations and providing them to its author. Promising approach is extracting the defect portions of slides by analyzing the multiple familiar sources that have been overlooked. This paper describes an overview of the hybrid analysis of audience gaze and characteristics of slide construction.

Methods for strategic accumulation of context information in research activities

Research activities normally consist of numerous works such as paper composition, discussions and surveys of literature. It is important for smooth accomplishment of research to strategically accumulate the context information (i.e. processes of the work, methods and results) and to skillfully utilize them. However, it is difficult to accumulate relevant context information since most automatic methods target only the specific work and/or researchers tend to selectively use different applications suitable for each purpose. This research aims to develop methods of organizing context information across the different styles of information and applications. This paper outlines methods to strategically accumulate context information and to organize it. Moreover, it describes an experiment using test-case data and discusses the effectiveness of the methods in light of the results.

Extraction methods of e-mail discussion processes considering diversity of description granularity and their complicated relationships

Discussion using e-mail is frequently conducted in intelligent works such as research activity. It is important but generally difficult to successfully grasp the processes of the discussions and their results. There exist descriptions of diverse particle sizes in actual discussion using e-mail. This feature brings about the difficulty in grasping the discussion processes in addition to basic features such as increase of number of e-mails. Although there have been some research projects which aim at extraction of discussion processes, these existing methods have not consider the diversity of description granularity. This research has aimed to develop a support system for extracting discussion processes and their visualization. This paper mainly describes methods for extracting the discussion processes considering the diversity of description granularity and complicated connections between them. This paper also describes the overview of target service and the outline of support system.

Analyzation of Relationships among Search Queries for Extracting the Complicated Contexts in Web Exploration

Complicated Web exploration involving trial and error is quite important in intellectual creative activities. To successfully conduct such exploration, each user needs to satisfactorily understand the results and circumstances (i.e., contexts) of his/her own exploration. However, the contexts are difficult for a user to understand since queries and the pages obtained with them increase rapidly as exploration progresses. In this research, we were aiming at developing methods for visualizing the contexts so that a user can easily understand them. This paper mainly describes methods for clustering queries and extracting the transitions of search queries by analyzing the relationships between the clusters of queries. Moreover, this paper also describes a prototype of context map with some screenshots.

A framework for supporting the recall of the scenes in complicated documenting processes using screenshots

Complicated documenting composed of a stacking of document creation and its elaboration involving multiple works such as reading existing documents and Web exploration has increasingly conducted. To successfully progress the elaboration, it is important to manage skillfully the deliverables along with their editing processes and utilize them for later work. However, such management is generally difficult because of work lengthening and the diversity of information involved with the complicated processes. In this research, we were aiming at developing novel support methods for recalling the documents used in the past works by focusing on screenshots as a trigger to recollect the work scenes. This paper initially describes a framework of our support methods that begins from the accumulation of users operation histories and reaches to visual suggestion of the promising screenshots. Moreover, we describe methods for extracting the screenshots valuable for recall. Finally, this paper describes the experiment on screenshots selection and the features of our methods are discussed based on its results.

Dynamically visualizing the relationships between Web pages depending on user's search viewpoints

Opportunities of continuous Web exploration with trial and error have been increased in intellectual creative activities such as research work and PBL. However, it is often difficult to pick up useful pages. In such exploration, information that a user particularly needs and his/her viewpoints changes in accordance with progress of the work and trial and error in it. Therefore, it is important but difficult to understand the relationships between obtained pages and to examine the promising information based on the latest perspectives. We aimed to develop the mechanism for dynamic visualization of the relationships between the pages. This paper mainly describes the outline of our dynamic visualization and methods for extracting the relationships between the pages using focused page of a user as a base point.

Gaze network extraction from bookmarks in accordance with search intentions

Opportunities for Web exploration have been remarkably increased. In particular, complicated Web search with a stack of search and acquisitions of Web pages is significant in long-term intellectual activity. In such exploration, it is important to identify the noteworthy pages and their relationships in increasing bookmark in accordance with change of search intentions. However, it is difficult to grasp them since bookmarks tends to increase according to various search intentions and their changes. In this research, we develop a method for extracting the relationships between Web page by several different related elements from bookmarks. We also develop a method for extracting the gaze network based on centrality analysis. This paper mainly describes the framework of our proposed methods.

A Method for Extracting the Search Contexts in Collaborative Exploration

This paper describes a method for extracting the search contexts on the basis of the analysis of search history data such as viewed Web pages, search queries, and bookmarks during collaborative exploration activities. There are many opportunities for collaborative exploration in the form of cooperative work at educational organizations such as universities. It is quite significant for collaborative explorers to mutually grasp search contexts in order to successfully progress the exploration. However, it becomes increasingly difficult and complicated for explorers to comprehend contexts as search histories when search periods lengthen. The goal of this research is to achieve novel support for extracting the search contexts and their visualizations so that novices in collaborative exploration can understand their exploration activities.

Strategic Accumulation and Organization of the Polish Contexts in Research Document Creation

Abstract Documentation in research activities consist of multiple works. Such combined documenting involves the contexts in its processes of polish. Polish contexts are often valuable hints that can be utilized for later works. However, it is difficult for most users, especially beginners, to manage the polish contexts and utilize them satisfactorily. This research aims to develop methods for organizing the contexts along with their strategic accumulation. A method to extract the important portion of the accumulated context information network is also proposed.