scholarly journals Towards Model-Driven Requirements Analysis for Context-Aware Well-Being Systems

2012 ◽  
pp. 43-50 ◽  
Author(s):  
Steven Bosems
Keyword(s):  
Well Being ◽  
Requirements Analysis ◽  
Context Aware ◽  
Model Driven

Model-driven development of composite context-aware web applications

2009 ◽  
Vol 51 (8) ◽  
pp. 1244-1260 ◽  
Author(s):  
Georgia M. Kapitsaki ◽  
Dimitrios A. Kateros ◽  
George N. Prezerakos ◽  
Iakovos S. Venieris
Keyword(s):  
Web Applications ◽  
Context Aware ◽  
Model Driven Development ◽  
Model Driven

scholarly journals Process and Content in Decisions from Memory

2019 ◽  
Author(s):  
Wenjia Joyce Zhao ◽  
Russell Richie ◽  
Sudeep Bhatia
Keyword(s):  
Decision Making ◽  
Ethical Decision Making ◽  
Memory Search ◽  
Well Being ◽  
Quantitative Model ◽  
Decision Processes ◽  
Language Models ◽  
Choice Data ◽  
Model Driven ◽  
Decision Context

Information stored in memory influences the formation of preferences and beliefs in most everyday decision tasks. The richness of this information, and the complexity inherent in interacting memory and decision processes, makes the quantitative model-driven analysis of such decisions very difficult. In this paper we present a general framework that is capable of addressing the theoretical and methodological barriers to building formal models of naturalistic memory-based decision making. Our framework implements established theories of memory search and decision making within a single integrated cognitive system, and uses computational language models to quantify the thoughts over which memory and decision processes operate. It can thus describe both the content of the information that is sampled from memory, as well as the processes involved in retrieving and evaluating this information in order to make a decision. Furthermore, our framework is tractable, and the parameters that characterize memory-based decisions can be recovered using thought-listing and choice data from existing experimental tasks, and in turn be used to make quantitative predictions regarding choice probability, length of deliberation, retrieved thoughts, and the effects of decision context. We showcase the power and generality of our framework by applying it to study risk perception, consumer behavior, financial decision making, ethical decision making, legal decision making, food choice, and judgments about well-being, society and culture.

Evaluation of Quality of Context Information in U-Health Smart Homes

2012 ◽  
pp. 179-215 ◽  
Author(s):  
José Bringel Filho ◽  
Nazim Agoulmine
Keyword(s):  
Health Systems ◽  
Smart Homes ◽  
Well Being ◽  
Context Information ◽  
Context Aware ◽  
Daily Lives ◽  
Quality Of Context ◽  
The Impact ◽  
Health And Well Being

Ubiquitous Health (U-Health) smart homes are intelligent spaces capable of observing and correctly recognizing the activities and health statuses of their inhabitants (context) to provide the appropriate support to achieve an overall sense of health and well-being in their inhabitants’ daily lives. With the intrinsic heterogeneity and large number of sources of context information, aggregating and reasoning on low-quality raw sensed data may result in conflicting and erroneous evaluations of situations, affecting directly the reliability of the U-Health systems. In this environment, the evaluation and verification of Quality of Context (QoC) information plays a central role in improving the consistency and correctness of context-aware U-Health applications. Therefore, the objective of this chapter is to highlight the impact of QoC on the correct behavior of U-Health systems, and introduce and analyze the existing approaches of modeling, evaluating, and using QoC to improve its context-aware decision-making support.

Design of Wearable Computing Systems for Future Industrial Environments

2011 ◽  
pp. 1226-1245
Author(s):  
Pierre Kirisci ◽  
Ernesto Morales Kluge ◽  
Emanuel Angelescu ◽  
Klaus-Dieter Thoben
Keyword(s):  
Mobile Computing ◽  
Design Process ◽  
Reference Model ◽  
Wearable Computing ◽  
Computing System ◽  
Context Aware ◽  
Context Model ◽  
Computing Systems ◽  
Model Driven ◽  
Industrial Environments

During the last two decades a lot of methodology research has been conducted for the design of software user interfaces (Kirisci, Thoben 2009). Despite the numerous contributions in this area, comparatively few efforts have been dedicated to the advancement of methods for the design of context-aware mobile platforms, such as wearable computing systems. This chapter investigates the role of context, particularly in future industrial environments, and elaborates how context can be incorporated in a design method in order to support the design process of wearable computing systems. The chapter is initiated by an overview of basic research in the area of context-aware mobile computing. The aim is to identify the main context elements which have an impact upon the technical properties of a wearable computing system. Therefore, we describe a systematic and quantitative study of the advantages of context recognition, specifically task tracking, for a wearable maintenance assistance system. Based upon the experiences from this study, a context reference model is proposed, which can be considered supportive for the design of wearable computing systems in industrial settings, thus goes beyond existing context models, e.g. for context-aware mobile computing. The final part of this chapter discusses the benefits of applying model-based approaches during the early design stages of wearable computing systems. Existing design methods in the area of wearable computing are critically examined and their shortcomings highlighted. Based upon the context reference model, a design approach is proposed through the realization of a model-driven software tool which supports the design process of a wearable computing system while taking advantage of concise experience manifested in a well-defined context model.

Context-Aware Applications for the Web

2011 ◽  
pp. 417-440
Author(s):  
Florian Daniel
Keyword(s):  
Context Awareness ◽  
Web Applications ◽  
User Profile ◽  
Expressive Power ◽  
Context Aware ◽  
Web Engineering ◽  
Runtime Adaptation ◽  
Model Driven ◽  
Context Data ◽  
Development Approach

Adaptivity (the runtime adaptation to user profile data) and context-awareness (the runtime adaptation to generic context data) have been gaining momentum in the field of Web engineering over the last years, especially in response to the ever growing demand for highly personalized services and applications coming from end users. Developing context-aware and adaptive Web applications requires addressing a few design concerns that are proper of such kind of applications and independent of the chosen modeling paradigm or programming language. In this chapter we characterize the design of context-aware Web applications, the authors describe a conceptual, model-driven development approach, and they show how the peculiarities of context-awareness require augmenting the expressive power of conceptual models in order to be able to express adaptive application behaviors.

Context-Aware Applications for the Web

2010 ◽  
pp. 59-82 ◽  
Author(s):  
Florian Daniel
Keyword(s):  
Context Awareness ◽  
Web Applications ◽  
User Profile ◽  
Context Aware ◽  
Web Engineering ◽  
Runtime Adaptation ◽  
Model Driven ◽  
Personalized Services ◽  
Context Data ◽  
Development Approach

Adaptivity (the runtime adaptation to user profile data) and context-awareness (the runtime adaptation to generic context data) have been gaining momentum in the field of Web engineering over the last years, especially in response to the ever growing demand for highly personalized services and applications coming from end users. Developing context-aware and adaptive Web applications requires addressing a few design concerns that are proper of such kind of applications and independent of the chosen modeling paradigm or programming language. In this chapter we characterize the design of context-aware Web applications, the authors describe a conceptual, model-driven development approach, and they show how the peculiarities of context-awareness require augmenting the expressivepower of conceptual models in order to be able to express adaptive application behaviors.

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