57 Result(s)
within
English
Artificial Intelligence
Computers and Society
**ya Sato
Chapter
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Chapter and Conference Paper
The Efficacy of Diagrams in Syllogistic Reasoning: A Case of Linear Diagrams
We study the efficacy of external diagrams in syllogistic reasoning, focusing on the effectiveness of a linear variant of Euler diagrams. We tested subjects’ performances in syllogistic reasoning tasks where l...
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Chapter and Conference Paper
Effects of Touch Screen Response Time on Psychological State and Task Performance
The purpose of this study was to investigate how touch screen response time affected user’s psychological state and task performance. Ten male participants performed numeric entry task on the touch screen unde...
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Chapter and Conference Paper
Design and Analysis of Interactions with Museum Exhibits
The Definition of Self is a museum exhibition at 21_21 DESIGN SIGHT in 2010, intended to speculate our attributes in the contemporary world. This paper discusses design and interaction of two exhibits created ...
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Chapter and Conference Paper
Table-Top Interface Using Fingernail Images and Real Object Recognition
Many researchers have proposed the development of table-top interfaces in the last decade. In a table-top system, for user satisfaction, they must be able to operate digital and analog media seamlessly. In thi...
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Chapter and Conference Paper
Subjective Difficulty Estimation for Interactive Learning by Sensing Vibration Sound on Desk Panel
In this paper, we propose a method which estimates the student’s subjective difficulty with a vibration sound on a desk obtained by a microphone on the back of the desk panel. First, it classifies the student’...
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Chapter and Conference Paper
The Efficacy of Euler and Venn Diagrams in Deductive Reasoning: Empirical Findings
This paper discusses the cognitive differences between reasoning with Euler diagrams and reasoning with Venn diagrams. We test subjects’ performances in syllogism solving in case where these two types of diagr...
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Chapter and Conference Paper
Effects of Kurtosis for the Error Rate Estimators Using Resampling Methods in Two Class Discrimination
In preceding studies, error rate estimators have been compared under various conditions and in most cases the population distribution was assumed to be normal. Effects of non-normality of the population have t...
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Chapter and Conference Paper
Measurement of Olfactory Characteristics for Two Kinds of Scent in a Single Breath
This study describes a presentation technique of scent designed for users to recognize multiple scents during a very short time period. We measured the olfactory characteristics of subjects when two kinds of s...
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Chapter and Conference Paper
What’s Next? A Visual Editor for Correcting Reading Order
The reading order, i.e. the serialized form, of the webpage should be a meaningful order for alternative representations such as the audible forms needed for visually impaired users. However, the serialized fo...
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Chapter and Conference Paper
Service Robot System Using Personal Attribute and Acquisition Preference Attribute with Networked Robots
In this research, the authors aimed to implement human-centered system, which understands user and provides a service which suits user. This paper consists of two systems. First, the authors implement service ...
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Chapter and Conference Paper
Identification of MCMC Samples for Clustering
For clustering problems, many studies use just MAP assignments to show clustering results instead of using whole samples from a MCMC sampler. This is because it is not straightforward to recognize clusters bas...
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Chapter and Conference Paper
Readable Representations for Large-Scale Bipartite Graphs
Bipartite graphs appear in various scenes in the real world, and visualizing these graphs helps improve our understanding of network structures. The amount of information that is available to us has increased ...
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Chapter and Conference Paper
Generating Extensional Definitions of Concepts from Ostensive Definitions by Using Web
We present GEO (Generating an Extensional definition from an Ostensive definition), a method to exhaustively gather items falling under an ostensively defined concept from the Web. By utilizing structural info...
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Chapter and Conference Paper
Data Mining of Time-Series Medical Data by Formal Concept Analysis
This paper presents a method for clustering time-series medical data based on Formal Concept Analysis. We made a prototype system, and verified it by applying it to several medical cases. Our clusters can be e...
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Chapter and Conference Paper
Dynamic Social Simulation with Multi-agents Having Internal Dynamics
In this paper, we discuss a viewpoint to regard individuals in a society as cognitive agents having internal dynamics, in order to study the dynamic nature of social structures. Internal dynamics is the autono...
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Chapter and Conference Paper
Human Support Network System Using Friendly Robot
Because the traditional driver support system warns unilaterally by a display and a sound, it often addles a driver. If you feel burden about a present system using keyboard, mouse and so on, you might feel fa...
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Chapter and Conference Paper
Evaluation of Using Human Relationships on the Web as Information Navigation Paths
We investigated the use of human relationships on the web for information navigation paths. We propose a new information navigation method that uses personal names. It automatically extracts the human relation...
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Chapter and Conference Paper
Extended Virtual Type for a Multiple-Type Object with Repeating Types
INADA is an enhanced C++ persistent programming language and compliant with the ODMG standard. INADA provides multiple-type object which enables any persistent objects to be extended by o...
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Chapter and Conference Paper
Clustering Mixed Data Using Spherical Representaion
When the data is given as mixed data, that is, the attributes take the values in mixture of binary and continuous, a clustering method based on k-means algorithm has been discussed. The binary part is transformed...
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Chapter and Conference Paper
Mining Indirect Association Rules
A large database, such as POS data, could give us many insights about customer behavior. Many techniques and measures have been proposed to extract interesting rules. As the study of Association rule mining ha...
