Chapter 7

Question 1

models

Answer 1

reductions or simplifications of more complex phenomena

Question 2

descriptive models

Answer 2

Models using “loose verbal analogy and metaphor”
describe phenomena.

Question 3

predictive models

Answer 3

Models using “closed-form
mathematical equations” predict phenomena.

One of the benefits of a predictive model is the potential to predict the outcome on a value of
the predictor never actually visited.

Question 4

Fitts’ law uses in HCI

Answer 4

(1) to learn if a device or interaction technique conforms to the model by building the prediction equation and examining the correlation for “goodness of fit,”

(2) to use the prediction equation in analyzing design alternatives,

(3) to use Fitts’ index of performance (now throughput) as a dependent variable in a comparative
evaluation.

Question 5

Fitts’ law

Answer 5

quantifies the time required to move to a target area as a function of the distance to the target and the size of the target

Question 6

power law of practise

Answer 6

the relationship
between skill and practice

Question 7

multiple regression

Answer 7

build a prediction model where the outcome is predicted from multiple predictors