Pervasive Computing Concepts Quiz

The shift from centralized computing (mainframes) to personal computing (PCs) focused on the human user interface. This shift emphasizes interactive software and human-computer interaction as key disciplines.

Personal computing allows direct manipulation of data and interfaces. It focuses on individual users, but usually doesn't take context into account.

The transition from personal computing to a more integrated approach where devices become interconnected, context-aware, and invisible. This shift incorporates the user's surrounding environment into computing.

Understanding the physical environment of a device, including its location, surroundings, user activities, and situational context. This is crucial for effective pervasive computing.

The ability of devices to identify real-world objects (e.g., identifying a specific book), determine their location and movement, and track their activities relative to other objects. This is essential for coordinating actions in pervasive computing.

A framework for constructing applications that use context awareness. This framework helps to organize and manage various aspects of context within these applications.

The process of designing technology that integrates seamlessly with the surrounding environment, making it less noticeable and more natural to use.

The ability of technology to become seemingly invisible or transparent within the physical environment. This is achieved by integrating devices seamlessly and making them unobtrusive.

The idea that computation should be seamlessly integrated into everyday objects, rather than being a separate activity.

A type of computing where technology is designed to be unobtrusive and non-demanding, blending seamlessly into the environment and requiring minimal conscious attention from the user.

A type of interaction where computers respond to the user's actions and behaviors without explicit commands, often using sensors to detect and interpret these actions.

A key characteristic of pervasive computing applications that allows users to access computing resources from anywhere and at any time.

A term that describes the ability of pervasive computing systems to collect data from the environment and use that data to make decisions or perform actions.

A type of interaction that does not require explicit commands or interface elements. Instead, it relies on implicit cues and gestures that are understood by the system.

Any information that tells us about the state or situation of a thing or person.

The ability of a pervasive computing system to adapt to the people using it, learn from their actions, and even recognize their emotions.

Natural interaction in pervasive computing involves using natural human communication methods like speech and gestures to interact with devices instead of traditional interfaces.

A shift from centralized computing where a single powerful computer handled everything, to a distributed computing landscape where computing power is spread across multiple devices.

A type of computing architecture where different parts of a system are spread across multiple computers or devices, each having its own responsibilities.

Ensuring that data is consistent and synchronized across different devices in a distributed system, making sure every device has the same information.

The ability for applications to run smoothly and manage data and user profiles across different devices within a pervasive computing environment.

The act of designing a system where individual software providers have control over their applications, allowing them to manage user profiles and handle data on different devices.

The need for devices and systems to be connected to each other and to the internet. This allows for information sharing and collaborative applications.

Providing a single interface that can access various applications and functionalities, instead of relying on dedicated devices for each task.

Aiming to create user-friendly experiences by making devices easy to use and understand. Focuses on intuitive interfaces and simple interactions.

A challenge in pervasive computing where the system needs to understand the user's intentions to provide useful assistance.

A technique for extending the capabilities of a mobile device by accessing resources from wired infrastructure for computing and data handling. It helps to provide more powerful processing resources when needed.

A strategy for adapting pervasive systems to different environments, conditions, and user preferences. It ensures the system works effectively in diverse situations.

Managing energy usage effectively in pervasive devices, considering factors like device usage, battery life, and power availability.

A client can guide applications to use less of a scarce resource by changing their behavior, possibly reducing user-perceived quality.

A client can request a certain level of resource from the environment. This effectively increases the resource supply to meet the client's needs, improving quality of service.

A strategy where the operating system controls refreshes of physical memory to reduce energy usage.

A mismatch between resource supply and demand. This could involve issues like insufficient wireless bandwidth, limited energy reserves, or insufficient memory.

In pervasive computing, adaptations are essential for maintaining performance, user satisfaction, and efficiency. These adaptations address resource limitations and dynamic environments.

The growing demand for compact and lightweight devices can conflict with the need for substantial battery life.

A computing device with limited processing power, memory, and resources, often relying on a central server for heavy tasks.

A computing device with significant processing power, memory, and resources, capable of running complex applications locally.

The degree of a client's computational power and resources in a pervasive computing environment.

The potential for pervasive computing systems to collect and use personal information without consent, raising concerns about user privacy.

The ability of pervasive computing systems to anticipate user needs and automate tasks based on context and past behavior.

The ability of applications to adjust their functionality and resource consumption based on the available energy resources and system state.

The potential benefits of pervasive computing, such as increased convenience, efficiency, and personalized experiences.