A Framework for Design and Evaluation of Digital Museums in Second Life as Learning Institutions

Advances in Multimedia Information Processing - PCM 2009

2009

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Abstract. Achievement of museum guide systems, in physical and virtual worlds, providing the personalization and context awareness features requires the prior analysis and identification of visitors' behaviors. This paper analyzes and synthesizes visitors' behaviors in museums and art galleries by using our defined parameters. A visit time and a observation distance can be calculated by using the proposed functions. The proposed synthesis algorithm is developed and used in classification. Classifying visitor styles is simply implemented by using the average and variance of their stopover time at and distance to all exhibits as shown in this paper.

Section: Conclusion and Discussionmentioning

confidence: 99%

A Movement Data Analysis and Synthesis Tool for Museum Visitors’ Behaviors

Advances in Multimedia Information Processing - PCM 2009

2009

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“…One of them is the Smithsonian Latino Center opened the Smithsonian Latino Virtual Museum (LVM) in March 19, 2009 which provides the vast and rich collections, research and scholarship, exhibitions and educational activities related to U.S. Latinos and Latin America. This trend leads to the need of a conceptual framework of digital museums in the 3D virtual world, which was designed, developed and evaluated in [2,3].…”

Section: Introductionmentioning

confidence: 99%

An On-Line Classification Approach of Visitors’ Movements in 3D Virtual Museums

IFIP Advances in Information and Communication Technology

2010

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Abstract. Recommender systems, in virtual museums and art galleries, providing the personalization and context awareness features require the off-line synthesis of visitors' behaviors therein and the off-line training stage of those synthetic data. This paper deals with the simulation of four visitors' styles, i.e., ant, fish, grasshopper, and butterfly, and the classification of those four styles using an Adaptive Neuro-Fuzzy Inference System (ANFIS). First, we analyze visitors' behaviors related to a visit time and an observation distance. Then, the proposed synthesis procedure is developed and used in the off-line training stage of ANFIS. The training and testing data are the average and variance of a set of visitors' attention data computing by the proposed function of the visit time and observation distance variables. Therefore, the trained ANFIS can identify the behavior style of an on-line visitor using the training set of synthetic data and its memberships can describe degrees of uncertainty in behavior styles.

Digital Museums in 3D Virtual Environment

Handbook of Research on Methods and Techniques for Studying Virtual Communities

This chapter aims to present an overview of the field of digital museums and describes the current framework of content management systems feasibly integrated in the museums in 3D virtual environment for assisting visitors to deal with information overload and providing personalized recommendations, content, and services to them. Digital museums in 3D virtual environment are an intriguing alternative to let visitors experience them compared to thousands of existing digital museums that are similar to digital archiving places published in the Internet. Exemplary characteristics of digital museums in Web 1.0, Web 2.0, and Second Life are also reviewed and discussed. Moreover, prior classification of visiting styles essential to personalize the museum context and content is described in this chapter.