Welcome to Methods for data collection with human subjects
Organizer: Rodrigo Ordoñez
Lecturers: Rodrigo Ordoñez and others.
ECTS: 3
Date/Time: 14,15 March & 16,17 May 2024
Deadline: 22 February 2024
Max no. Of participants: 20
Description: Much of technical scientific research has as an ultimate goal to develop technological devices that will be used by people. Either as services, or products that may end up being an integral part of peoples’ lives. In order to investigate if a given technology can be used in a given context, experiments with human subjects are indispensable. These types of experiments can be time consuming and expensive and if not properly designed and executed the results may not be reliable.
This course takes both a theoretical and practical approach to data collection from human subjects, in order to avoid mistakes and common pitfalls while improving the reliability of the results. From an understanding of cognitive and perceptual processes of human interaction with the environment, we will investigate implications of these processes in different data collection scenarios.
The scenarios presented will be based on research activities, for example:
1. Evaluation of sound environments and interactive control.
2. Hearing aid aided performance ratings.
3. Listening effort
The course consist of lectures and practical work, where you will design and participate in experiments.
Prerequisites: Knowledge of basic data analysis models, such as CHI-square, T-tests, ANOVA is an advantage, but not strictly required. Programming in any language capable of making simple user interfaces and data analysis, such as Python or Matlab.
Course participants should have plans to run a data collection experiment with human subjects during their PhD work.
Important information concerning PhD courses: We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce a no-show fee of DKK 3000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start. This can hopefully also provide new students a chance to register for courses during the year. We look forward to your registrations.
- Teacher: Rodrigo Ordoñez