623.405 (22S) Experiments in Human-Computer Interaction
Overview
For further information regarding teaching on campus, please visit: https://www.aau.at/en/corona.
- Lecturer
- Course title german Experiments in Human-Computer Interaction
- Type Lecture - Course (continuous assessment course )
- Course model Attendance-based course
- Hours per Week 2.0
- ECTS credits 4.0
- Registrations 7 (30 max.)
- Organisational unit
- Language of instruction English
- Course begins on 03.03.2022
- eLearning Go to Moodle course
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Remarks (english)
If COVID-19 regulations permit, classes will be held at the university. Otherwise, classes will take place online, using BigBlueButton/Moodle.
This course is part of the specialization Human-Computer Interaction in the Master's degree program Informatics. Students who are not specializing in Human-Computer Interaction are also welcome to participate!
For more details about the specialization visit our web page: specialization Human-Computer Interaction.
Time and place
Course Information
Intended learning outcomes
Upon successful completion of the course, a student will know how to:
- plan and design HCI-experiments,
- conduct HCI-experiments,
- analyse quantitative data and qualitative data collected through HCI-experiments, and
- document/present HCI-experiments and results.
Teaching methodology
lecture • discussions • example project • reading/writing assignments
Based on an example project, we will together discuss and exercise through the necessary steps required to convincingly answer an HCI-research question using an experiment.
Course content
The research area Human-Computer Interaction (HCI) deals with phenomena surrounding humans interacting with computing devices or digital environments, such as desktop computers, smartphones, and smart homes. This course provides knowledge, skills and techniques necessary to conduct purposeful experiments (a.k.a. user studies) in Human-Computer Interaction.
Topics include:
- empirical research motivation,
- HCI-research questions and experiments,
- internal/external validity of experiments,
- repeatability, replicability, and reproducibility of experiments,
- experiment terminology and design considerations,
- ethics and working with human participants,
- measurement scales and statistics,
- hypothesis testing / inference statistics,
- describing HCI-experiments, and
- presenting results from HCI-experiments.
Link to further information
https://www.aau.at/en/isys/ias/teaching/master-specialization-hci/Examination information
Examination methodology
discussions • assignments • course example project
Examination topic(s)
See Course overview above.
Assessment criteria / Standards of assessment for examinations
The final grade is based on the results of the following work items: participation in discussions, completed assignments, and contributions to the course example project. The scores on these work items depend on their overall quality, completeness, and correctness according to the following grading scheme.
Grade 1 – Excellent: 89 – 100 percent points
The work item is complete and of superior quality. The work item is very well written, has a professional touch, and is profound. The student is very reflective and insightful. The work item may contain very few clarity, structure, or presentation problems.
Grade 2 – Good: 76 – 88 percent points
The work item is complete and of high quality. The work item is well written and in-depth. The student is reflective and insightful. The work item may contain few clarity, structure, or presentation problems.
Grade 3 – Satisfactory: 63 – 75 percent points
The work item is complete and of good quality, but several points could be better articulated, be more insightful, or more thorough. The work item may contain some clarity, structure, or presentation problems.
Grade 4 – Sufficient: 50 – 62 percent points
The work item is mostly complete and of satisfactory quality, but most points could be better articulated, be more insightful, or more thorough. The work item contains clarity, structure, or presentation problems.
Grade 5 – Failed: 0 – 49 percent points
The work item is incomplete or of lower quality. The points are not well articulated or thorough enough. The work item may contain significant clarity, structure, or presentation problems.
Grading scheme
Grade / Grade grading schemePosition in the curriculum
- Master's degree programme Informatics
(SKZ: 911, Version: 19W.2)
-
Subject: Human-Computer Interaction
(Compulsory elective)
-
Weitere LVen aus dem gewählten Spezialisierungsfach (
0.0h XX / 12.0 ECTS)
- 623.405 Experiments in Human-Computer Interaction (2.0h VC / 4.0 ECTS) Absolvierung im 1., 2. Semester empfohlen
-
Weitere LVen aus dem gewählten Spezialisierungsfach (
0.0h XX / 12.0 ECTS)
-
Subject: Human-Computer Interaction
(Compulsory elective)