A context model, design tool and architecture for context-aware systems designs

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Automatic shader tool for 3D animation production in Thai industries

The 3D animation has become a big business in Thailand.We conduct the focus group with key authorities in the Thai animation industry in order to understand the real issues in Thai animations business.We found that Thai animators trend to manually set the attributes for the effects.This causes human errors and time delay in the development process.The aim of this research is to develop an automatic shader tool to help reduce human errors and time delay. But at the same time, the tool should give the animators control over the necessary attributes setting. Moreover, it should act as a learning tool for the new animators in Thai animation industry as well. This is because Thai animation industries require their animators to have basic understanding about the effect setting.Our tool is then tested with the animators in their real environment.The experts find our tool works efficiently and help them getting their job done quickly. Moreover, the new animators find the tool easy to use and reduce errors as well

History as Part of Context

ing an influence on human activity. S 1 Rules Community Division of Labour Tools Subject S e Transformation Process Outcome Object Figure 1 Triangular Structure of Human Activity introduced by [Engestrm et al., 1999] Figure 1 shows that Activity Theory allows us to capture information about the current situation, (S 0 ) and the outcome (S e ) once the activity is performed. However, it does not provide an adequate account of a user's current object or intention (S 1 ). People often refer to experiences in the past while performing their current activity. Therefore, we have extended Activity Theory by adding the concept of History, illustrated in Figure 2. History is modelled as a set of states in the past. Each past state is represented as an Activity Theory model, which captures the context of past activities. This information includes the initial state (S 0 ), intention (S 1 ) and outcome (S e ) of the activity. 1 Figure 2 Extending Activity Theory to understand user's

Integrating History and Activity Theory in Context Aware System Design

In this paper, we describe our context model as a design tool for developing context aware systems. Activity Theory is introduced as a potential approach for identifying and relating the elements that should be taken into account when designing context aware systems. We extend Activity Theory by adding the concept of history to produce the basis for our context modelling

An Integrated Context Model: Bringing Activity to Context

This paper presents ongoing research on context modelling. A review of past research in context awareness shows that researchers have defined and classified context differently. This leads to different views of context amongst different researchers. Moreover, existing context definitions and classifications are ambiguous and therefore it is difficult to carry them forward into design and implementation work. The main aim of this research is to provide a context model that covers key elements of context that researchers should take into account in their designs. Moreover, the relationships between elements are provided by this model. The model provides researchers and practitioners with an integrated point of reference for considering the elements of context and their relationships. This model can then be used as a framework in their implementation of context aware systems

Modelling Context: An Activity Theory Approach

In this paper, we review different context classification systems that have been used to define elements of context. Although existing classification systems cover various types of context, in the development of context aware applications, only a few types of context have been used. In this work, we aim to build a context classification model based on Activity Theory that provides a basis both for dialogue amongst context awareness researchers and for the implementation of a context awareness architecture

User Characteristics

In a mobile and ubiquitous computing environment, the interfaces become smaller to disappearing. Moreover, the user’s attention may be divided between several activities and devices. Context awareness plays a key role in reducing explicit user input by taking advantage of the changes in information relating to users, devices and environments. Throughout the context awareness literature, researchers have tried to classify context into different elements that have an influence on a user’s activity as shown in Table 1. There is a multitude of context classification systems, all of which are partial, covering both similar and different elements. Reported context classifications cover different types of context largely depending on their implementation. For the most part, however, context aware applications have utilized only isolated subsets of their context, such as a location or a device’s state, e.g. [1,2]. From the different classification systems, we purpose that the context classification system should cover five key elements; information about user, tools, social, physical environment and time