Museum Web search behavior of special interest visitors

Skov, Mette; Ingwersen, Peter

doi:10.1016/j.lisr.2013.11.004

Cited by 38 publications

(28 citation statements)

References 16 publications

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“…But they have low response rates and low explanatory power as to how users interact with rich museum content such as collection-related information. In future, collection of large cultural heritage will provide access to millions of heritage objects [1].…”

Section: Methodology 31 Web Questionnaire Surveymentioning

confidence: 99%

“…Visitors are interested in the information of specific museum object and its photograph. The method of web questionnaire survey is used to describe why online museum collections are used and by whom [1].…”

Section: Related Workmentioning

confidence: 99%

“…A one-way ANOVA test is carried out in order to analyze differences among above 4 search tasks. The LSD (multiple comparisons) test was used to examine differences in patterns [1].…”

Section: Simulated Search Taskmentioning

confidence: 99%

See 2 more Smart Citations

Analysis of Online User Behavior Detection Methodologies and its Evaluation

Deshpande¹,

Deshpande²

2017

IJCA

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With the increasing use of internet, users are accessing information and services easily through various media like social communication, multimedia content, online shopping and banking services etc. It becomes challenging task to accurately identify and differentiate normal and suspicious user behavior. Various businesses need information of next user behavior prediction to enhance their service quality. This paper gives the analysis of online user behavior detection and prediction. Various user behaviors identification methods are compared and analyzed. Their parameters are considered and improvements are suggested. The proposed methodology describes anomalous user behavior detection system. The principal component analysis is the feature extraction method used to detect and differentiate normal and anomalous user behavior.

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Section: Methodology 31 Web Questionnaire Surveymentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

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Analysis of Online User Behavior Detection Methodologies and its Evaluation

Deshpande¹,

Deshpande²

2017

IJCA

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“…MCO low-quality copies are a pressing problem. Users explain their existence with defective technologies of digitization or commercial aspect (the lower prices -the lower quality) (Skov & Ingwersen, 2014). Meanwhile, their manufacturing and distribution cause damage to the national security of owner-state of copied MCO.…”

Section: The Materials Culture Object and Its Digital Copy Correspondementioning

confidence: 99%

“…Concepts of open data and systems, opportunities of free access in information economy (Simón et al, 2014) and studies in humanities (McLeod, 2014) are discussed. The issues of perceiving MCO copy by the user depending on search motivation (Skov & Ingwersen, 2014). Practical recommendations and theoretical approaches to digital collection creation are thoroughly elaborated (Note, 2011).…”

Section: Introductionmentioning

confidence: 99%

Information Technologies in Culture and Education: Image Processing Issues

Vinokur¹

2015

MAS

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One of the most important applications of information technologies in culture and education is content creation by digitizing objects of material culture (MCO). This content is named digital heritage. Rather large databases have been created. Digital heritage processing means for the purpose of culture and education are developed and are being developed. Works regarding digitization and development of software and information systems of digital heritage of various applications is carried out under government orders and at the initiative of noncommercial associations, private persons, and companies, and sure enough it will be in progress for many decades. Creation and use of digital heritage is a vast area of human activity, which dramatically alters humanity mentality, culture, ways of education and so on. The activity has many aspects-political, legal, technical, scientific, economic and others, each of which is being actively developed. Therefore, any studies in this direction are relevant. The majority of digitized MCO are kept and used in the form of digital images. When working with digital images two problems of copy quality evaluation arise: content transfer accuracy and form transfer accuracy. Nowadays there are no legal principles and approaches to rating these non-quantitative indicators. At the same time the issue is important and relevant since different standpoint regarding the notion of "quality" and different aims pursued by creators and distributors of the content as well as users' interests may lead to serious conflicts and become effective means in cyber wars. The paper offers classification of correspondence of MCO original and its digital copy by content, and also considers some technical aspects of digitization technology and subsequent visualization of images that allow providing high technical quality of copies and avoiding repeated digitization in the future.

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Learning Outcomes during Information Search in Digital Archives

Huang

Vakkari

2021

Proceedings of the Association for Information Science and Tech

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A museum's digital archive system gathers information about cultural heritage and makes it accessible to the public. In this study we clarify the extent to which search behaviors reflect task outcome and foster users' knowledge of painting and calligraphy. Ten users participated who are special interest museum visitors. They joined in this evaluation of the Digital Archives of Chinese Painting and Calligraphy Search System (DA-PCSS) of the National Palace Museum in Taiwan. Participants' search activities and interactions with the DA-PCSS were recorded in two simulated tasks. The results show that the high-performance (HP) group who received high scores for their essays on the tasks formulated precise and relevant queries. Furthermore, the HP group were able to find information needed inside or outside the system to explore and synthesize the information, which was clearly reflected in their search move patterns, during the search process. Our results suggest that the criteria for learning at various stages of search suggested by Vakkari (2016) seem to validly reflect the quality of the search outcomes. In all, the results elucidate how the evaluated system supports users as they search for target items, as well as how learning occurs during the search process and in turn influences task outcomes.

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Museum Web search behavior of special interest visitors

Cited by 38 publications

References 16 publications

Analysis of Online User Behavior Detection Methodologies and its Evaluation

Analysis of Online User Behavior Detection Methodologies and its Evaluation

Information Technologies in Culture and Education: Image Processing Issues

Learning Outcomes during Information Search in Digital Archives

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