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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.

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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.

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Introduction to Human Computer Interaction MCQs | Page 16 of 19

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Q151.
In which type of problems is Newell and Simon's General Problem Solver model often applied?

a.

Real-world problems requiring domain knowledge

b.

Puzzles and well-defined problems

c.

Problems with clear and specified goals

d.

Problems involving analogy-based reasoning

Discuss
Answer: (b).Puzzles and well-defined problems Explanation:Newell and Simon's General Problem Solver model is often applied to solving puzzles and well-defined problems. These problems may be unfamiliar, but the required knowledge is present in the problem statement and the expected solution is clear. The model focuses on generating and selecting operators within the problem space to reach the goal state.
Q152.
What is the function of analogical mapping in problem-solving?

a.

To identify the solution to a known problem

b.

To map knowledge from a similar known domain to a new problem

c.

To reduce the complexity of a given problem

d.

To ignore similarities between the known domain and the new one

Discuss
Answer: (b).To map knowledge from a similar known domain to a new problem Explanation:Analogical mapping in problem-solving is the method of applying knowledge or approaches from a similar known domain to address a new problem. It involves identifying similarities between the known domain and the new one and transferring operators or procedures from the known domain to the new one.
Q153.
Based on the problem given by Gick and Holyoak, what is the effective way to destroy a malignant tumor using high-intensity rays?

a.

Firing high-intensity rays directly at the tumor

b.

Lessening the rays' intensity before firing them at the tumor

c.

Firing low-intensity rays from different directions converging on the tumor

d.

Avoiding the use of rays and seeking alternative methods

Discuss
Answer: (c).Firing low-intensity rays from different directions converging on the tumor Explanation:According to the problem presented by Gick and Holyoak, the efficient solution for destroying a malignant tumor with high-intensity rays is to fire low-intensity rays from multiple directions, converging on the tumor. This approach ensures that the healthy tissue receives harmless low-intensity rays, while the tumor receives the rays combined, creating a high-intensity dose.
Q154.
In the context of problem-solving, what does the Gestalt view of productive restructuring and insight suggest?

a.

Using new knowledge to solve old problems

b.

Ignoring old knowledge to solve new problems

c.

Using old knowledge to solve new problems

d.

Mixing old and new knowledge to create a hybrid solution

Discuss
Answer: (c).Using old knowledge to solve new problems Explanation:The Gestalt view of productive restructuring and insight, in the context of problem-solving, implies that old knowledge is used to solve new problems. It aligns with the concept of using analogical mapping to solve unfamiliar problems by drawing on the knowledge of known, similar domains.
Q155.
What is the main difference between novice and expert behavior in given domains?

a.

Experts make more mistakes than novices

b.

Novices are often faster at solving problems than experts

c.

Experts tend to have a deeper understanding and skill in a particular domain

d.

There is no significant difference between the two

Discuss
Answer: (c).Experts tend to have a deeper understanding and skill in a particular domain Explanation:In general, the main difference between novice and expert behavior in given domains is that experts have acquired deeper understanding and skill in a particular domain over time. This implies that they have honed their problem-solving strategies and can more effectively address problems in their area of expertise compared to novices.
Q156.
When are people more likely to identify the analogy in a problem-solving situation?

a.

When the analogy is semantically distant from the problem domain

b.

When the analogy is made semantically close to the problem domain

c.

When the analogy has no semantic connection to the problem

d.

The semantic closeness of the analogy to the problem domain has no effect

Discuss
Answer: (b).When the analogy is made semantically close to the problem domain Explanation:People are more likely to spot the analogy in a problem-solving situation when it is made semantically close to the problem domain. If the analogy is semantically distant or unrelated, it becomes more challenging for individuals to recognize its relevance to the problem at hand.
Q157.
How does expert behavior typically differ from novice behavior in given domains?

a.

Experts usually make more errors than novices

b.

Novices generally solve problems quicker than experts

c.

Experts typically have a deeper understanding and skill in a particular domain

d.

There's no significant difference between the two

Discuss
Answer: (c).Experts typically have a deeper understanding and skill in a particular domain Explanation:The primary difference between expert and novice behavior in given domains is that experts typically have a deeper understanding and skill in a particular area. This means they have developed their problem-solving strategies over time and can address problems more effectively in their domain of expertise compared to novices.
Q158.
What is the solution to the problem of destroying a malignant tumor using high-intensity rays, as given by Gick and Holyoak?

a.

Directly firing high-intensity rays at the tumor

b.

Reducing the rays' intensity before directing them at the tumor

c.

Firing low-intensity rays from different directions converging on the tumor

d.

Seeking alternative methods and avoiding the use of rays

Discuss
Answer: (c).Firing low-intensity rays from different directions converging on the tumor Explanation:The efficient solution, as presented by Gick and Holyoak, for destroying a malignant tumor with high-intensity rays is to fire low-intensity rays from various directions, converging on the tumor. This method ensures that the healthy tissue receives harmless low-intensity rays, while the tumor receives the combined rays, resulting in a high-intensity dose.
Q159.
What does analogical mapping involve in problem-solving?

a.

Identifying the new problems

b.

Implementing solutions for the known problems

c.

Mapping knowledge from a known domain to a new problem

d.

Focusing on the dissimilarities between known and new domains

Discuss
Answer: (c).Mapping knowledge from a known domain to a new problem Explanation:Analogical mapping in problem-solving is a process of applying knowledge from a similar known domain to a new problem. It involves recognizing similarities between the known domain and the new one and transferring strategies or techniques from the known domain to the new one.
Q160.
Which of the following best describes why chess is a suitable domain for the study of problem-solving?

a.

It can be represented in terms of problem space theory

b.

It is a popular game played by many people

c.

It is a complex game requiring advanced mathematical skills

d.

It provides a platform for players to demonstrate their memory skills

Discuss
Answer: (a).It can be represented in terms of problem space theory Explanation:Chess is suitable for the study of problem-solving because it can be easily represented in terms of problem space theory. The initial state is the opening board position, the goal state is one player checkmating the other, and the operators are the legal moves of chess.
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