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GPS and GIS Project

Objectives

This study aims to design and build an experiment to measure the concept of signal detection theory. In this experiment, I will collect data on myself using a PEBL SDT task to compare how factors change within sensitivity and bias will affect my performance.

I want to use this experiment to understand how to increase the hit rate and reduce the false-alarm rate in user visual design. It is essential for users to quickly get the information they want in the user interactive design , rather than finding it through multiple searches.

Experimental Design

I use PEBL2.1, which is the Psychology Experiment Building Language. In this assignment, I used the system's own SDT demo experiment.

There are two mode types throughout the experiment, and each mode has three benchmarks. I will experience all methods under the same conditions.

In these six experiments, the first three belong to the 'A-B Response' base rate, which will follow the original experimental settings, A has on average 46 stars, and B has on average 54 stars. So the independent variables will be the number of stars in AB and my experimental performance, and the dependent variables will be hit rate, false alarm rate, and sensitivity.
The last three experiments belong to confidence rating. I changed the number of AB, B to higher (60) and the A to lower (40) to study whether such a change would affect sensitivity under the same conditions.

Method

I was the only participant, and the SDT tests were performed in a quiet working environment. In this case, I reduced the external interference to control and maintain the simulated experiment situation.

Data

According to the experimental results obtained by the two predetermined probabilities, the hit rate and false report rate can be calculated. Then the sensitivity and beta value under different probabilities can be obtained from the hit rate and false alarm rate I got. Here are the six results I received and calculated.