Context models are theoretical frameworks used to represent and analyze the situational factors influencing behavior, cognition, or communication. They integrate various contextual elements, such as environmental, social, and temporal variables, to enhance understanding of how context shapes interactions and outcomes in diverse fields, including psychology, linguistics, and artificial intelligence.
lightbulbAbout this topic
Context models are theoretical frameworks used to represent and analyze the situational factors influencing behavior, cognition, or communication. They integrate various contextual elements, such as environmental, social, and temporal variables, to enhance understanding of how context shapes interactions and outcomes in diverse fields, including psychology, linguistics, and artificial intelligence.
This article examines two different instances of policy defense as a means to show how a socio-cognitive approach to contexts can help develop a dialectical account of the relationship between societal processes and our communicative... more
This article examines two different instances of policy defense as a means to show how a socio-cognitive approach to contexts can help develop a dialectical account of the relationship between societal processes and our communicative practices. Based on such analysis, I argue that comparative analyses within a socio-cognitive theory of context can offer new insights into how, first of all, mental models control the process of discourse production and interpretation in important ways, and second, how they are intrinsically related to ideologically based understandings of particular groups and/or situations. Such an approach allows us to account for and explain the potential effectiveness of the discursive moves that emerge from this co-constitutive relationship between contexts and communicative practices.
—We live in the days of social software where social interactions, from simple notifications to complex business processes , are supported by software platforms such as Facebook and Twitter. But for any social software to be successful,... more
—We live in the days of social software where social interactions, from simple notifications to complex business processes , are supported by software platforms such as Facebook and Twitter. But for any social software to be successful, it must be used by a sizeable portion of its intended user community. Usage requirements are usually referred to as Acceptance Requirements and they have been studied in the literature both for general technology as well as software. Operationalization techniques for such requirements often consist of making a game out of software usage where users are rewarded/penalized depending on the degree of their participation. The game may be competitive or non-competitive, depending on the anticipated personality traits of intended users. Making a game out of usage is often referred to as Gamification, and gamification has attracted huge attention in the literature for the past few years because it offers a novel approach to software technology usage. This paper proposes a generic framework for designing gamified solutions for acceptance requirements. The framework consists of a generic acceptance goal model that characterizes the problem space by capturing possible refinements for acceptance requirements, and a generic gamification model that captures possible gamified operationalizations of acceptance requirements. These models have been extracted from the literature and they are highly dependent on context (cognitive and social) elements of the intended user community. The proposed framework is illustrated with the Meeting Scheduler exemplar.
Immersive Participationentails massive participatory activities in the Internetengaging people, places and objects. This ispremised on the existence of an Internet of Things infrastructure supporting applications and services with the... more
Immersive Participationentails massive participatory activities in the Internetengaging people, places and objects. This ispremised on the existence of an Internet of Things infrastructure supporting applications and services with the same richness of experience as the World Wide Web. This in turn presupposes the existence of models for establishing and maintaining context relations. Where these models do exist, they impose a limited interpretation of context relations in the presence of the inherent heterogeneous and dynamic characteristics of the supporting information. In this paper we introduce an approach towards establishing context relations through the use of an improved context relational model permitting a wider, more complete range of application specific scenarios. Additionally, wederive a measure of context proximity that considers the situation, attributes, relations, accuracy and heterogeneity of both the underlying information and the vast array of requirements for metrics supporting application problem domain