adplus-dvertising

Welcome to the Introduction to Human Computer Interaction MCQs Page

Dive deep into the fascinating world of Introduction to Human Computer Interaction with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Introduction to Human Computer Interaction, a crucial aspect of Human Computer Interaction. In this section, you will encounter a diverse range of MCQs that cover various aspects of Introduction to Human Computer Interaction, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Human Computer Interaction.

frame-decoration

Check out the MCQs below to embark on an enriching journey through Introduction to Human Computer Interaction. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Human Computer Interaction.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Introduction to Human Computer Interaction. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Introduction to Human Computer Interaction MCQs | Page 15 of 19

Explore more Topics under Human Computer Interaction

Q141.
How does the knowledge required for thinking activities vary?

a.

Some activities require constrained knowledge, while others require knowledge from diverse domains.

b.

All thinking activities require vast amounts of knowledge from different domains.

c.

Thinking activities require a relatively small amount of knowledge from constrained domains.

d.

The knowledge required for thinking activities is the same across all domains.

Discuss
Answer: (a).Some activities require constrained knowledge, while others require knowledge from diverse domains. Explanation:Different thinking activities can require different amounts of knowledge. Some activities are very directed and require a small amount of knowledge from a constrained domain, while others demand vast amounts of knowledge from diverse domains.
Q142.
What is deductive reasoning?

a.

Drawing conclusions based on generalizations

b.

Inferring information about unseen cases from seen cases

c.

Deriving a logically necessary conclusion from given premises

d.

Making generalizations based on observed cases

Discuss
Answer: (c).Deriving a logically necessary conclusion from given premises Explanation:Deductive reasoning involves deriving a logically necessary conclusion from given premises. It is the process of drawing a conclusion that logically follows from the provided information.
Q143.
What is the main characteristic of inductive reasoning?

a.

It always leads to true conclusions.

b.

It relies on negative evidence.

c.

It involves generalizing from observed cases to infer information about unseen cases.

d.

It derives conclusions that conflict with our knowledge of the world.

Discuss
Answer: (c).It involves generalizing from observed cases to infer information about unseen cases. Explanation:Inductive reasoning involves generalizing from observed cases to infer information about unseen cases. It is the process of making generalizations based on the evidence available. While it is not always reliable, it is a useful process for learning about our environment.
Q144.
What is the key difference between deductive and inductive reasoning?

a.

Deductive reasoning relies on positive evidence, while inductive reasoning relies on negative evidence.

b.

Deductive reasoning draws conclusions based on generalizations, while inductive reasoning infers information about unseen cases.

c.

Deductive reasoning always leads to true conclusions, while inductive reasoning is unreliable.

d.

Deductive reasoning derives conclusions that conflict with our knowledge of the world, while inductive reasoning does not.

Discuss
Answer: (b).Deductive reasoning draws conclusions based on generalizations, while inductive reasoning infers information about unseen cases. Explanation:The key difference between deductive and inductive reasoning is that deductive reasoning draws conclusions based on generalizations and logical necessity, while inductive reasoning infers information about unseen cases based on observed cases. Deductive reasoning starts with specific premises and reaches a specific conclusion, while inductive reasoning involves generalizing from observed cases to make probabilistic conclusions.
Q145.
What is abduction in reasoning?

a.

Drawing logical conclusions from given premises

b.

Generalizing from observed cases to infer information about unseen cases

c.

Reasoning from a fact to the action or state that caused it

d.

Deriving explanations for observed events

Discuss
Answer: (c).Reasoning from a fact to the action or state that caused it Explanation:Abduction in reasoning involves reasoning from a fact to the action or state that caused it. It is the process of deriving explanations for the events we observe. Therefore, option c) "Reasoning from a fact to the action or state that caused it" is the correct answer.
Q146.
What distinguishes problem solving from reasoning?

a.

Problem solving involves deriving logical conclusions, while reasoning involves finding solutions to unfamiliar tasks.

b.

Problem solving relies on deductive and inductive reasoning, while reasoning relies on abduction.

c.

Problem solving is the process of finding a solution to unfamiliar tasks, while reasoning is the process of drawing conclusions or inferring something new.

d.

Problem solving requires creative thinking, while reasoning is a structured cognitive process.

Discuss
Answer: (c).Problem solving is the process of finding a solution to unfamiliar tasks, while reasoning is the process of drawing conclusions or inferring something new. Explanation:The key distinction between problem solving and reasoning is that problem solving is the process of finding a solution to unfamiliar tasks, while reasoning is the process of drawing conclusions or inferring something new based on existing knowledge. Problem solving involves using available knowledge to address novel situations, while reasoning involves using knowledge to draw logical conclusions.
Q147.
What did the Gestalt psychologists propose about problem solving?

a.

Problem solving is a matter of reproducing known responses or trial and error.

b.

Reproductive problem solving involves insight and restructuring of the problem.

c.

Problem solving involves both productive and reproductive processes.

d.

Insight and restructuring hinder problem solving.

Discuss
Answer: (c).Problem solving involves both productive and reproductive processes. Explanation:The Gestalt psychologists proposed that problem solving involves both productive and reproductive processes. They argued that problem solving is not merely a matter of reproducing known responses or trial and error. Reproductive problem solving draws on previous experience, while productive problem solving involves insight and restructuring of the problem.
Q148.
According to problem space theory, what does the problem space consist of?

a.

Problem states and goal states

b.

Legal state transition operators

c.

Initial state and final state

d.

Means-ends analysis

Discuss
Answer: (a).Problem states and goal states Explanation:According to problem space theory, the problem space consists of problem states and goal states. Problem solving involves generating these states using legal state transition operators to move from the initial state to the goal state.
Q149.
What is means-ends analysis in problem solving?

a.

Comparing the initial state with the goal state and selecting an operator to reduce the difference between them

b.

Searching the problem space using heuristics to find the most efficient solution

c.

Applying operators to move from the initial state to the goal state

d.

Structuring the problem space based on prior experience

Discuss
Answer: (a).Comparing the initial state with the goal state and selecting an operator to reduce the difference between them Explanation:Means-ends analysis is a heuristic used in problem solving. It involves comparing the initial state with the goal state and selecting an operator that will reduce the difference between them. In other words, it focuses on identifying subgoals and selecting appropriate actions to bridge the gap between the current state and the desired state.
Q150.
What is a limitation of searching the problem space according to Newell and Simon's model?

a.

Limited capacity of short-term memory

b.

Lack of domain knowledge

c.

Inefficient use of operators

d.

Inability to identify subgoals

Discuss
Answer: (a).Limited capacity of short-term memory Explanation:According to Newell and Simon's model, searching the problem space is limited by the capacity of short-term memory. The human processing system has constraints on the amount of information that can be held and processed in short-term memory, which affects the ability to search and retrieve information within the problem space.
Page 15 of 19

Suggested Topics

Are you eager to expand your knowledge beyond Human Computer Interaction? We've curated a selection of related categories that you might find intriguing.

Click on the categories below to discover a wealth of MCQs and enrich your understanding of Computer Science. Happy exploring!

Java Spring Framework

Enhance your Java development skills with our Spring Framework MCQs. Learn about...

Microprocessor

Understand the heart of your computer with our Microprocessor MCQs. Topics include...

CompTIA PenTest+ Certification Exam PT0 002

Prepare for the CompTIA PenTest+ PT0-002 exam with our targeted MCQs. Covering...

Object Oriented Programming Using C++

Enhance your programming skills with our MCQs on Object Oriented Programming using...

Digital Image Processing (DIP)

Delve into the techniques of enhancing digital images with our Digital Image...

Software Architecture and Design

Get a strong hold on the blueprint of software systems with our Software Architecture...

Big Data Computing

Enhance your understanding of Big Data Computing with our comprehensive MCQs. Explore...

Web Technologies

Master the building blocks of the web with our Web Technologies MCQs. From HTML and...

Compiler Design

Unravel the process of translating source code into executable programs with our...