The ever-growing incorporation of information technology in day-to-day applications presents new opportunities to develop computer systems that can be aware of the context in which they are operating. Such computer-systems can be inherently more responsive to the expectations of their users. Context-aware systems offer developers and programmers exciting new prospects to gather contextual data and adapt the behavior of their dynamic systems according to user expectations. In conjunction with mobile devices, such mechanisms can be extremely valuable in increasing the usability of information systems. However, it is now accepted widely that the efforts to adapt the usability and capability of the desktop PC in to the mobile environment are limited in their scope. The debate in present literature seems to focus in particular on the trade-offs and compromises between the performance of such systems in theoretical or laboratory environments, and the actual results when tested in the field. This essay will aim to critically evaluate the success of making context-aware information systems into a feasible reality.
Table of Contents
1. Introduction
2. Background
3. Literature Review
4. Emerging Concepts
5. A Critical Evaluation
6. Bibliography
Objectives & Core Topics
This essay critically evaluates the feasibility and success of context-aware information systems. It examines the evolution of these systems from ubiquitous computing models to modern architectures, while addressing the significant challenges related to performance, scalability, security, and the complexity of user-evaluation in real-world settings.
- Foundational concepts and historical development of context-aware computing.
- Architectural implementation strategies including sensor-based, middleware, and server-based models.
- Methods for context modeling and data storage.
- Challenges in context inference and reliability of data sources.
- Security, privacy, and the critical need for standardization.
Excerpt from the Book
Background
Context-aware computing is a general term used to refer to a class of mobile computer-systems that are able to sense the context they are being used in- that is to say, the physical environment in which they are being used in- and can adapt their behaviour in accordance to this context. The concept came forth from the model of ‘ubiquitous computing’ and was first proposed by Schilit et al at Xerox PARC in 1994. The three main factors in context are:
(1) User location vis-a-vis the physical environment
(2) Position relative to other users
(3) Resources available at that position
Context-aware systems include other persons, devices, and network/power resource levels etc that exist within that general physical environment (Schilit et al, 1994). They are also able to adapt their operations to the current context without any explicit inputs from the user - it is desirable in the field of mobile computing that programs and devices are able to gauge current location, time and other environmental attributes and react accordingly to the changing circumstances as context data may change rapidly. The context information that is needed may be gathered in a variety of ways, including applying sensors, network information, device status, browsing user profiles and other such sources (Baldauf et al, 2007).
Of course, in designing any context-aware system, it becomes necessary to define context, for which we turn to Dey & Abowd (2000)- “any information that can be used to characterize the situation of entities (i.e., whether a person, place or object) that are considered relevant to the interaction between a user and an application, including the user and the application themselves.”
Summary of Chapters
Introduction: Provides an overview of how information technology development allows for systems that respond to the user's specific context, while noting limitations in translating desktop capabilities to mobile environments.
Background: Defines context-aware computing, its origins in ubiquitous computing, and the fundamental elements that constitute context information.
Literature Review: Discusses architectural implementations, such as direct sensor access and middleware, and compares various methods for context-modelling, including ontology-based models.
Emerging Concepts: Explores the shift towards virtual/logical sensors and the role of service frameworks and intelligent spaces like CoBrA in future computing.
A Critical Evaluation: Analyzes the difficulties of context inference, the lack of robust resource discovery mechanisms, and the critical need for better security and standardization.
Bibliography: Lists the academic references and research papers cited throughout the text.
Keywords
Context-aware computing, ubiquitous computing, mobile systems, context modeling, sensor architecture, middleware, context inference, service frameworks, intelligent spaces, CoBrA, security, privacy, user-evaluation, pervasive environments, information systems.
Frequently Asked Questions
What is the primary focus of this work?
The work examines the development, architectural design, and current limitations of context-aware information systems in mobile environments.
What are the central thematic fields covered?
The core themes include context-modeling methodologies, architectural approaches for distributed systems, and the evaluation of user-friendliness and security in context-aware applications.
What is the ultimate research goal?
The main objective is to critically evaluate whether current context-aware systems can be successfully transitioned from theoretical laboratory environments to reliable, real-world practical applications.
Which scientific methods are analyzed?
The author reviews existing literature on system architectures (direct sensor access, middleware, context servers) and context-modeling techniques like key-value pairs, markup schemes, UML, and ontology-based models.
What topics are discussed in the main body of the work?
The body covers historical milestones, conceptual definitions, implementation strategies, emerging technologies like intelligent spaces, and a critical analysis of current research gaps.
Which keywords characterize this paper?
The paper is characterized by terms such as context-aware computing, pervasive environments, context-inference, and system security.
Why is context-inference considered a significant challenge?
Context-inference is difficult because it involves recognizing complex patterns, mapping low-level data to high-level information, and managing erroneous or missing variables in real-time.
How does the CoBrA architecture address system bottlenecks?
CoBrA utilizes an intelligent context broker and offers the capability of creating broker federations to maintain shared contextual models for a community of clients without overloading individual components.
Why does the author highlight security as a major roadblock?
There is a lack of standardization in how context data is encoded and protected, leading to security vulnerabilities that prevent these systems from being safely adopted in personal and professional environments.
- Citation du texte
- Rahul Massey (Auteur), 2009, An Overview of Context-Aware Information Systems, Munich, GRIN Verlag, https://www.grin.com/document/127892
