CHAPTER 12: COGNITIVE MODELS

Question 1

approximation of one or more cognitive process in human or other animals for purpose of comprehension and prediction.

Answer 1

Cognitive model

Question 2

can predict legal behvaior sequences without reference whether they could be executed by user.

Answer 2

Competence model

Question 3

do not describe what the necessary behaviour sequence are.

Answer 3

Performance model

Question 4

GOMS model

Answer 4

Goals, Operators, Methods, Selection

Question 5

what the user want to achieve

Answer 5

 Goals

Question 6

lowest level of analysis (ex: hardware)

Answer 6

 Operators

Question 7

goal decomposition

Answer 7

 Methods

Question 8

selecting

Answer 8

 Selection

Question 9

introduced by Kieras and Polson [199], begins with the basic premises of goal decomposition from GOMS and enriches the model to provide more predictive power.

Answer 9

Cognitive Complexity Theory

Question 10

the production rules are sequence of rules.

Answer 10

Cognitive Complexity Theory

Question 11

the size of description for even a part an interface can be enormous.

Answer 11

Cognitive Complexity Theory

Question 12

several ways of representing the same user behaviour and interface behaviour, yielding different measure and dissonance.

Answer 12

Cognitive Complexity Theory

Question 13

how the user understand the language.

Answer 13

Linguistic and Grammatical

Question 14

rules to describe the dialog grammar.

Answer 14

Backus-Naur Form

Question 15

has been used widely to specify the syntax of computer programming languages, and many system dialogs can be described easily using BNF rules.

Answer 15

Backus-Naur Form

Question 16

attempts to deal with some of these problems by including elements such as parametrized grammar rules to emphasize consistency and encoding the user’s world knowledge.

Answer 16

Task-Action Grammar

Question 17

was designed to reveal just this source of consistency.

Answer 17

Task-Action Grammar

Question 18

devices that we must use to interact.

Answer 18

Physical and Device model

Question 19

human motor system is well understood as a basis for detailed prediction about user performance.

Answer 19

Keystroke-level model

Question 20

of the task, when the user builds a mental representation of the task.

Answer 20

acquisition

Question 21

of the task using the systems facilities.

Answer 21

execution

Question 22

a simple model of input devices developed by Buxton.

Answer 22

Three-state model

Question 23

mouse, light-pen with button, and touchscreen

Answer 23

Three-state model

Question 24

example of Three-state model

Answer 24

mouse, light-pen with button, and touchscreen