adplus-dvertising
frame-decoration

Question

How are stereotypes typically built in an adaptive help system?

a.

By analyzing the user's personal characteristics

b.

By using machine learning approaches like neural networks

c.

By monitoring the user's system preferences

d.

By observing the user's interactions with other users

Answer: (b).By using machine learning approaches like neural networks Explanation:Stereotypes in adaptive help systems are often built using machine learning approaches like neural networks, learning examples of different user behaviors and classifying users accordingly.

Engage with the Community - Add Your Comment

Confused About the Answer? Ask for Details Here.

Know the Explanation? Add it Here.

Q. How are stereotypes typically built in an adaptive help system?

Similar Questions

Discover Related MCQs

Q. Why are stereotypes particularly useful in adaptive help systems?

Q. What is the main advantage of using overlay models in adaptive help systems?

Q. How do error-based models contribute to adaptive help systems?

Q. What is one of the challenges of representing user tasks through command sequences in adaptive help systems?

Q. How do assistants and agents use task recognition in adaptive help systems?

Q. What advantage does modeling advisory or tutorial strategies bring to adaptive help systems?

Q. What are some strategies that human experts use when advising colleagues?

Q. Why is modeling advisory strategy challenging for adaptive help systems?

Q. How does the EuroHelp adaptive help system model advisory strategy?

Q. How does the Activist/Passivist help system function in terms of interaction?

Q. In which technique for knowledge representation are structures containing labeled slots used to represent commonly occurring situations and default knowledge?

Q. Which technique for knowledge representation uses networks to represent relationships between facts, often utilizing a hierarchy where children inherit properties from their parents?

Q. Which technique for knowledge representation involves constructing a decision structure based on examples presented to the classifier, which can then classify other input?

Q. In rule-based techniques, what do production rules primarily represent?

Q. Which technique for knowledge representation is useful in relatively large domains and can represent both declarative knowledge and actions?

Q. What is one of the major challenges in knowledge representation for adaptive help systems, particularly when it comes to knowledge of user behavior?

Q. Which issue in adaptive help system design pertains to the degree of control and initiative between the user and the system?

Q. What is the key to handling initiative in an adaptive help system's interaction with the user?

Q. In the context of adaptive help systems, what should the designer consider regarding the effect of modeling and adaptivity?

Q. When considering the scope of help in an adaptive help system, what should the designer decide about the scope of the help being offered?