Using Activity Theory to Model Context Awareness

Kofod-Petersen, Anders; Cassens, Jörg

doi:10.1007/11740674_1

Cited by 73 publications

(47 citation statements)

References 19 publications

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“…They can be used together to get a more complete model, but this is not always possible or even necessary. For example, in recent work we have investigated how Activity Theory alone can be used to model the knowledge needed in context-aware systems [13].…”

Section: Discussionmentioning

confidence: 99%

User Aspects of Explanation Aware CBR Systems

Cassens

2005

Human-Computer Interaction - INTERACT 2005

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Abstract. This paper addresses the problem of embedding explanationaware intelligent systems into a workplace environment. We outline an approach with three different perspectives, focusing on the work process as a whole as well as user interaction from an interface and a system view. The theoretical background consists of Actor Network Theory, Semiotics, and Activity Theory. We further propose to integrate this workplace analysis into a design process for knowledge-intensive and explanationaware Case-Based Reasoning systems.

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Section: Discussionmentioning

confidence: 99%

User Aspects of Explanation Aware CBR Systems

Cassens

2005

Human-Computer Interaction - INTERACT 2005

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“…According to Kofod-Petersen and Cassens [6], the factors that govern the situation of an individual are composed of personal, task, spatio-temporal, environmental, social contexts. Personal context refers to the information about the individual; task context refers to the activities the individual performs; environmental context refers to the tools or means with which the individual perform activities; and social context means relationships with others.…”

Section: ) Multidimensional Personal Experience Modelmentioning

confidence: 99%

“…In this study, we adopt the findings of Kofod-Petersen and Cassens [6] and propose a personal information model composed of spatio-temporal, social, Events, and personal profiles. Personal profile includes basic information about the individual.…”

Section: ) Multidimensional Personal Experience Modelmentioning

confidence: 99%

Modelling user situations with smartphones

Lee

Park

2014

16th International Conference on Advanced Communication Technology

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Abstract-This paper presents a preliminary study on modelling personal experiences, centered on the design and the issues of the modelling. The proposed personal experience gathering framework aims at providing a ground for circulating and utilizing personal mobile contents by giving them semantic meaning through automatic annotation. Among various kinds of personal experiences, the framework models spatio-temporal information, social relations, personal interests, and multimediacontent-related activities. This paper defines the data needed, explains the ways they are (pre-) processed and annotated automatically.

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“…These factors may cover various aspects: physical, social, personal, professional, technical, task etc. Figure 1 shows these factors and examples for each one [18].…”

Section: Context In Information Retrievalmentioning

confidence: 99%

Integrating Query Context and User Context in an Information Retrieval Model Based on Expanded Language Modeling

Aknouche¹,

Asfari²,

Bentayeb³

et al. 2012

Lecture Notes in Computer Science

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Abstract. Access to relevant information adapted to the needs and the context of the user is a real challenge. The user context can be assimilated to all factors that can describe his intentions and perceptions of his surroundings. It is difficult to find a contextual information retrieval system that takes into account all contextual factors. In this paper, both types of context user context and query context are integrated in an Information Retrieval (IR) model based on language modeling. Here, the query context include the integration of linguistic and semantic knowledge about the user query in order to explore the most exact understanding of user's information needs. In addition, we consider one of the important factors of the user context, the user's domain of interest or the interesting topic. A thematic algorithm is proposed to describe the user context. We assume that each topic can be characterized by a set of documents from the experimented corpus. The documents of each topic are used to build a statistical language model, which is then integrated to expand the original query model and to re-rank the retrieved documents. Our experiments on the 20 Newsgroup corpus show that the proposed contextual approach improves significantly the retrieval effectiveness compared to the basic approach, which does not consider contextual factors.

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Using Activity Theory to Model Context Awareness

Cited by 73 publications

References 19 publications

User Aspects of Explanation Aware CBR Systems

User Aspects of Explanation Aware CBR Systems

Modelling user situations with smartphones

Integrating Query Context and User Context in an Information Retrieval Model Based on Expanded Language Modeling

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