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Library Hi Tech, vol. 35 no. 4
Type: Research Article
ISSN: 0737-8831

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Library Hi Tech, vol. 38 no. 2
Type: Research Article
ISSN: 0737-8831

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Article
Publication date: 31 March 2021

Anandakumar Haldorai, Mu-Yen Chen, Chow Chee Onn and Arulmurugan Ramu

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International Journal of Pervasive Computing and Communications, vol. 17 no. 2
Type: Research Article
ISSN: 1742-7371

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Article
Publication date: 6 June 2008

Mu-Yen Chen

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417

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The Electronic Library, vol. 26 no. 3
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 7 June 2013

Mu‐Yen Chen and Edwin David Lughofer

The purpose of this paper is to introduce the theme issue on “Smart space technology innovations”.

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1808

Abstract

Purpose

The purpose of this paper is to introduce the theme issue on “Smart space technology innovations”.

Design/methodology/approach

This editorial discusses the innovation concepts and advantages of smart space. The technologies of smart space and its application also are discussed. The editorial surveys the latest literature and research papers submitted to this special issue about smart space and technology in Library Hi Tech.

Findings

Smart space has novel design and implementation perspectives for traditional information systems. Smart space depends not only on ambient intelligence and context‐aware computing techniques, but also on overall information architecture. Therefore, smart space innovation may have wide implications for academic and practice of library and information systems.

Research limitations/implications

The paper discusses opportunities and challenges that smart space will bring. Its discusses the research of the papers submitted to this special issue on these topics.

Originality/value

The research issues of smart space are occurring at international conferences and in journal papers. The focal point on the techniques and applications for library and information systems is primary original and novel.

Details

Library Hi Tech, vol. 31 no. 2
Type: Research Article
ISSN: 0737-8831

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Book part
Publication date: 7 May 2019

Mu-Yen Chen, Min-Hsuan Fan, Ting-Hsuan Chen and Ren-Pao Hsieh

Given the maturation of the internet and virtual communities, an important emerging issue in the humanities and social sciences is how to accurately analyze the vast…

Abstract

Given the maturation of the internet and virtual communities, an important emerging issue in the humanities and social sciences is how to accurately analyze the vast quantity of documents on public and social network websites. Therefore, this chapter integrates political blogs and news articles to develop a public mood dynamic prediction model for the stock market, while referencing the behavioral finance perspective and online political community characteristics. The goal of this chapter is to apply a big data and opinion mining approach to a sentiment analysis for the relationship between political status and economic development in Taiwan. The proposed model is verified using experimental datasets collected from ChinaTimes.com, cnYES.com, Yahoo stock market news, and Google stock market news, covering the period from January 1, 2016 to June 30, 2017. The empirical results indicate the accuracy rate with which the proposed model forecasts stock prices.

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Politics and Technology in the Post-Truth Era
Type: Book
ISBN: 978-1-78756-984-3

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Article
Publication date: 6 June 2008

Chwei‐Shyong Tsai and Mu‐Yen Chen

The purpose of this research is to illustrate the use of artificial neural network (ANN) and data‐mining (DM) technologies as a good approach for satisfying the…

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1698

Abstract

Purpose

The purpose of this research is to illustrate the use of artificial neural network (ANN) and data‐mining (DM) technologies as a good approach for satisfying the requirements of library users.

Design/methodology/approach

This research presents the Intelligent Library Materials Recommendations System (ILMRS) which uses the adaptive resonance theory (ART) network to distribute readers into different clusters according to their personal background. When clusters of related personal background have been established, the Apriori algorithm is used to discover the suitable materials in which readers are interested and which they may need.

Findings

The investigation results indicate that the ART and Apriori mining techniques can be used to improve the accuracy of the recommendations for reading materials in the library. Moreover, readers can be divided by means of demographic variables into three segments. Finally, the questionnaire survey proved that the proposed recommender system will be a suitable approach for stimulating the readers' motivation and interest. Research limitations/implications – This research is limited by its datasets from a digital library of a university in Taiwan, and it is applied by ART and Apriori mining techniques to recommend materials of readers.

Originality/value

Today, digital information is becoming ever more popular. The huge quantity and the diversity of digital information are its main features. Therefore, readers are interested in obtaining useful information in an efficient manner. In this research, a digital library can use this approach to anticipate a reader's needs in advance based on the mining results.

Details

The Electronic Library, vol. 26 no. 3
Type: Research Article
ISSN: 0264-0473

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Article
Publication date: 7 June 2013

Younghee Noh

This study seeks to examine the concepts of context, context‐awareness, and context‐awareness technology needed for applying context‐awareness technology to the…

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2677

Abstract

Purpose

This study seeks to examine the concepts of context, context‐awareness, and context‐awareness technology needed for applying context‐awareness technology to the next‐generation of digital libraries, and proposed context‐aware services that can be applied to any situation by illustrating some library contexts.

Design/methodology/approach

The paper investigated both theoretical research and case analysis studies before suggesting a service model for context‐awareness‐based libraries by examining the context, context‐awareness, and context‐awareness technology in depth.

Findings

This paper derived possible library services which could be provided if context‐awareness services are implemented by examining and analyzing case studies and systems constructed in other fields. A library‐applied context‐aware system could recognize users entering the library and provide optimal services tailored to each situation for both new and existing users. In addition, the context‐awareness‐based library could provide context‐awareness‐based reference services, context‐awareness‐based loan services, and cater to other user needs in the stacks, research space, and a variety of other information spaces. The context‐awareness‐based library could also recognize users in need of emergency assistance by detecting the user's behavior, movement path, and temperature, etc. Comfort or climate‐control services could provide the user with control of the temperature, humidity, illumination and other environmental elements to fit the circumstances of users, books, and instruments through context‐aware technology.

Practical implications

Next‐generation digital libraries apply new concepts such as semantic retrieval, real‐time web, cloud computing, mobile web, linked data, and context‐awareness. Context‐awareness‐based libraries can provide applied context‐awareness access service, reactive space according to the user's access, applied context‐awareness lobbies, applied context‐awareness reference services, and applied context‐awareness safety services, context‐awareness‐based comfort services and so on.

Originality/value

Real instances of libraries applying context‐aware technology are few, according to the investigative results of this study. The study finds that the next‐generation digital library using context‐awareness technology can provide the best possible service for the convenience of its users.

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Article
Publication date: 7 June 2013

Kuan Cheng Lin, Tien‐Chi Huang, Jason C. Hung, Neil Y. Yen and Szu Ju Chen

This study aims to introduce an affective computing‐based method of identifying student understanding throughout a distance learning course.

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1323

Abstract

Purpose

This study aims to introduce an affective computing‐based method of identifying student understanding throughout a distance learning course.

Design/methodology/approach

The study proposed a learning emotion recognition model that included three phases: feature extraction and generation, feature subset selection and emotion recognition. Features are extracted from facial images and transform a given measument of facial expressions to a new set of features defining and computing by eigenvectors. Feature subset selection uses the immune memory clone algorithms to optimize the feature selection. Emotion recognition uses a classifier to build the connection between facial expression and learning emotion.

Findings

Experimental results using the basic expression of facial expression recognition research database, JAFFE, show that the proposed facial expression recognition method has high classification performance. The experiment results also show that the recognition of spontaneous facial expressions is effective in the synchronous distance learning courses.

Originality/value

The study shows that identifying student comprehension based on facial expression recognition in synchronous distance learning courses is feasible. This can help instrutors understand the student comprehension real time. So instructors can adapt their teaching materials and strategy to fit with the learning status of students.

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Article
Publication date: 7 June 2013

Nathan Prestopnik

In this design case, a participatory approach to visualizing a complex computational pipeline was adopted, with the goal of exploring what benefits might be derived when…

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1214

Abstract

Purpose

In this design case, a participatory approach to visualizing a complex computational pipeline was adopted, with the goal of exploring what benefits might be derived when groups of people visualize complex information for themselves.

Design/methodology/approach

Several visualization artifacts were developed to support collaborative process at the Laser Interferometer Gravitational Wave Observatory (LIGO). Researchers adopted a participatory approach, engaging directly in LIGO activities and drawing together explicitly codified data from the LIGO computational pipeline as well as structural knowledge tacitly held by project scientists. Both sources of information were critical to producing meaningful visualizations and progressing design and research efforts.

Findings

This design case revealed several benefits realized when individuals or groups visualize information for themselves, especially improved communication and enhanced understanding of complex systems of information.

Originality/value

This design case demonstrates how cooperatively creating visualizations can enhance understanding and support group activities and goals. It is also a call to move beyond data, technologies, and techniques to introduce more human‐centered approaches within visualization scholarship.

Details

Library Hi Tech, vol. 31 no. 2
Type: Research Article
ISSN: 0737-8831

Keywords

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