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5 Papers

Visualization Method of Important Regions by Combination of Webpage Structures and Saliency Maps

Topics: Software Engineering Tools; Web Systems and Applications

Authors: Yuya Inagaki 1 , Hajime Iwata 2 , Junko Shirogane 3 and Yoshiaki Fukazawa 1

Affiliations: 1 Fundamental Science and Engineering, Waseda University, Tokyo, Japan , 2 Department of Information Network and Communication, Kanagawa Institute of Technology, Kanagawa, Japan , 3 Department of Communication, Tokyo Woman’s Christian University, Tokyo, Japan

Digital Object Identifier: 10.5220/0009885502040211

Proceedings of ICSOFT 2020, ISBN: 978-989-758-443-5

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In this research, we propose a new visualization method for important areas of a webpage by calculating the saliency in element units using a combination of the structure of the webpage and the saliency map at the development stage. By arranging important information in areas where attention is likely to be focused, users can easily find such information, leading to efficient user acquisition. In addition, a summary map that summarizes particularly important areas into one image should help grasp the page contents. Compared to a traditional saliency map, the visibility of important areas is easier to see, allowing designers to accurately determine which elements are likely to be noticed when a user views a webpage during the development phase.

Automatic Generation of an Operation Procedure Presentation System Reusing User’s Input Data

Topics: Design Methods and Tools; Usability and User Experience

Authors: Shimon Nakamura 1 , Hajime Iwata 2 , Junko Shirogane 3 and Yoshiaki Fukazawa 1

Affiliations: 1 Waseda University, Japan , 2 Kanagawa Institute of Technology, Japan , 3 Tokyo Woman's Christian University, Japan

Digital Object Identifier: 10.5220/0006628001240131

Proceedings of HUCAPP 2018/VISIGRAPP, ISBN: 978-989-758-288-2

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Users use software applications to achieve a goal. Occasionally they make mistakes in the operation path due to the complexity of large-scale applications, which requires them to back track to the appropriate operation step and reenter previously input data. This is burdensome for users. Herein a method is proposed to generate an operation support system that reuses previously input data in an inappropriate operation path as much as possible by navigating users to the appropriate operation path. Specifically, our method has an input reuse function for copying previously input data to similar input items as well as an operation procedure presentation function to highlight the operation procedure from the current step to the goal. Our integrated operation support can minimize users’ rework. To generate our system, developers must create an ontology, including concepts of label names of input items, correspondence between input items and label names, an activity diagram of the target application, and the operation procedure. Our system uses this information to compute the similarity of label names between input items, copy input data for similar input items, and present operation procedures to users.

Support of Scenario Creation by Generating Event Lists from Conceptual Models

Topics: Model Transformation; Domain-Specific Modeling

Authors: Kenta Goto 1 , Shinpei Ogata 2 , Junko Shirogane 3 , Takako Nakatani 4 and Yoshiaki Fukazawa 1

Affiliations: 1 Waseda University, Japan , 2 Shinshu University, Japan , 3 Tokyo Woman’s Christian University, Japan , 4 University of Tsukuba, Japan

Digital Object Identifier: 10.5220/0005327803760383

Proceedings of MODELSWARD 2015, ISBN: 978-989-758-083-3

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In the requirements definition phase, conceptual models are used to understand the developing software. Although scenarios are often described on the basis of conceptual models, there are cases that necessary requirements are omitted in the scenarios when the scenarios are created manually. Herein we propose an approach to support scenario creation from conceptual models where event lists of scenarios, which include checkpoints to define requirements, are generated from conceptual models automatically. The conceptual models represent the core resources of the software, the owner of the core resources, and use cases as class diagrams. Then software engineers and their clients arrange the event lists and define requirements as scenarios on the basis of the checkpoints. Our approach can support describing scenarios with all the necessary requirements from conceptual models. To confirm the effectiveness of our approach, we compared our approach to the all-manual approach.
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Domain-Specific Modeling and Domain-Specific Languages

Model-Driven Software Development

Paradigm Trends

Languages, Tools and Architectures

Models

Software Engineering
Model Transformation

Scenario Generation Based on Existing Software Operation History

Topic: Requirements Elicitation and Specification

Author: Junko Shirogane

Affiliation: Tokyo Woman’s Christian University, Japan

Digital Object Identifier: 10.5220/0005106804070412

Proceedings of ICSOFT-EA 2014/ICSOFT, ISBN: 978-989-758-036-9

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Scenarios, which represent operation flows of a software package, are often described in requirements elicitation phase by a natural language. Stakeholders that do not have knowledge of software development are said that they can easily understand and describe scenarios. However, defining appropriate granularities of input and output items and individual operations and describing scenarios without mistakes and missing are difficult. Actual task flows are not always appropriate for computer operation flows. In addition, even if the actual task flows in business are strictly represented in scenarios, software may not be usable. it is difficult to describe appropriate operation flows considering usability in scenarios. When a new software package is developed, stakeholders may survey existing software packages similar to the software package that they require. In this method, to support for describing appropriate scenarios, stakeholders try to use the existing software packages, and scenarios are generated using the operation histories. Scenarios are customized considering the actual task flows in business, limitations of input and output orders, and usability, and stakeholders can obtain the required scenarios.
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Requirements Elicitation and Specification

Software Engineering

Software Engineering Methods and Techniques

Attractor Neural Networks for Simulating Dyslexic Patients’ Behavior

Topic: Neural Network Software and Applications

Author: Shin-ichi Asakawa

Affiliation: Tokyo Woman's Christian University, Japan

Digital Object Identifier: 10.5220/0004170505820587

Proceedings of NCTA 2012/IJCCI, ISBN: 978-989-8565-33-4

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It was investigated that the ability of an attractor neural network. The attractor neural network can be applicable to various symptoms of brain damaged patients. It can account for delays in reaction times in word reading and word identification tasks. Because the iteration numbers of mutual connections between an output and a cleanup layers might increase, when they are partially damaged. This prolongation looks or behaves the delays of reaction times of brain damaged patients. When we applied the attractor neural network to the data of Tyler et al. (2000) for categorization task, it showed a kind of category specific phenomenon. In this sense, the attractor neural network could explain an aspect of the category specific disorders. In this sense the attractor network might simulate the human semantic memory organization. In spite of variations in data, and in spite of the simplicity of the architecture, the attractor network showed good performances. We could say that the attractor network succeeded in mimicking human normal subjects and brain damaged patients. The possibility of explaining the triangle model (Plaut & McClelland,1989; Plaut, McClelland, Seidenberg, and Patterson, 1996) also discussed.
Collapse Button Related Ontology Subjects/Areas/Topics (19)
Artificial Intelligence

Human-Computer Interaction

Pattern Recognition

Artificial Intelligence and Decision Support Systems

Methodologies and Methods

Physiological Computing Systems

Biomedical Engineering

Neural Network Software and Applications

Sensor Networks

Biomedical Signal Processing

Neural Networks

Signal Processing

Computational Intelligence

Neurocomputing

Soft Computing

Enterprise Information Systems

Neurotechnology, Electronics and Informatics

Theory and Methods
Health Engineering and Technology Applications

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