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Welcome to the Cognitive Models MCQs Page

Dive deep into the fascinating world of Cognitive Models with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Cognitive Models, a crucial aspect of Human Computer Interaction. In this section, you will encounter a diverse range of MCQs that cover various aspects of Cognitive Models, 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 Cognitive Models. 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 Cognitive Models. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Cognitive Models MCQs | Page 3 of 13

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Q21.
What aspect of user performance can be predicted using GOMS coupled with physical device models?

a.

Expertise level

b.

Memory capacity

c.

Execution times

d.

Error rates

Discuss
Answer: (c).Execution times Explanation:GOMS, when coupled with physical device models, can be used to predict the performance of users in terms of execution times.
Q22.
What is Cognitive Complexity Theory (CCT)?

a.

A theory about memory limitations

b.

A theory about complex problem-solving

c.

A model for computer system design

d.

A theory that enhances GOMS by providing more predictive power

Discuss
Answer: (d).A theory that enhances GOMS by providing more predictive power Explanation:Cognitive Complexity Theory (CCT) enhances GOMS by providing more predictive power.
Q23.
How does CCT's description of the user's goals differ from GOMS?

a.

CCT describes user goals using production rules.

b.

CCT uses generalized transition networks for user goals.

c.

CCT uses a LISP-like language for expressing user goals.

d.

CCT uses a hierarchical structure for expressing user goals.

Discuss
Answer: (a).CCT describes user goals using production rules. Explanation:CCT's description of the user's goals is based on a GOMS-like goal hierarchy, but it's expressed primarily using production rules.
Q24.
What type of networks does CCT use for describing the computer system's grammar?

a.

Hierarchical networks

b.

State transition networks

c.

Production networks

d.

Decision trees

Discuss
Answer: (b).State transition networks Explanation:CCT uses generalized transition networks for describing the computer system's grammar.
Q25.
In the context of CCT, what is the purpose of production rules?

a.

To define external actions such as keystrokes

b.

To specify high-level user goals

c.

To predict user actions based on external events

d.

To sequence the execution of tasks

Discuss
Answer: (c).To predict user actions based on external events Explanation:Production rules in CCT are used to predict user actions based on conditions in the working memory.
Q26.
What does CCT primarily focus on predicting?

a.

User's internal thoughts and emotions

b.

System errors and malfunctions

c.

User actions and commands

d.

System response times

Discuss
Answer: (c).User actions and commands Explanation:CCT focuses on predicting user actions and commands based on the conditions in working memory.
Q27.
How do the rules in CCT behave differently from traditional if-then-else commands in programming languages?

a.

They have a stricter syntax requirement.

b.

They only fire once during execution.

c.

They can fire in any order if their conditions are true.

d.

They can only fire if all their conditions are true.

Discuss
Answer: (c).They can fire in any order if their conditions are true. Explanation:The rules in CCT can fire in any order if their conditions are true, unlike traditional if-then-else commands in programming languages.
Q28.
How does CCT represent the expert knowledge of users?

a.

By using complex and lengthy production rules

b.

By relying on if-then-else programming constructs

c.

By proceduralizing sequences of actions into single chunks

d.

By requiring users to constantly check all available rules

Discuss
Answer: (c).By proceduralizing sequences of actions into single chunks Explanation:Expert knowledge is represented in CCT by proceduralizing sequences of actions into single chunks.
Q29.
What are "style" rules in CCT?

a.

Rules that determine the visual appearance of user interfaces

b.

Rules that dictate the formatting of text in a document

c.

Rules that govern the syntax of programming languages

d.

Rules that limit the form of conditions and actions for novices

Discuss
Answer: (d).Rules that limit the form of conditions and actions for novices Explanation:"Style" rules in CCT limit the form of conditions and actions for novices, and they embody psychological assumptions about the user.
Q30.
What is the main limitation of CCT in relation to error prediction?

a.

It cannot explain error phenomena.

b.

It cannot represent rules for error correction.

c.

It cannot predict errors but can explain them.

d.

It cannot provide a clear distinction between novice and expert users.

Discuss
Answer: (c).It cannot predict errors but can explain them. Explanation:CCT can be used to explain error phenomena but cannot predict them.
Page 3 of 13

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