ITI41322 Interaction Design Experiments (Autumn 2023)
Facts about the course
- ECTS Credits:
- 10
- Responsible department:
- Faculty of Computer Science, Engineering and Economics
- Campus:
- Halden
- Course Leader:
- Georgios Marentakis
- Teaching language:
- English
- Duration:
- ½ year
The course is connected to the following study programs
Mandatory course in the master programme in applied computer science with specialisation in interaction design, full-time and part-time.
Lecture Semester
First semester (autumn) in the full-time and part-time programme.
The student's learning outcomes after completing the course
Knowledge
The candidate understands:
- use of quantitative methods in designing different interaction design settings
- experiment design and analysis
- quantitative descriptors of usability, users experience, affective and embodied aspects of interaction
- quantitative evaluation of user performance and experience
Skills
The candidate can:
- review literature and develop relevant hypotheses
- select quantitative measures for evaluating hypotheses
- design, plan, and execute experiments to gather data as appropriate for the different stages of the design process with a focus on evaluation
- apply statistical methods for analysing data from experiments
- reflect and discuss on the outcome of the experiments
- understand strengths and limitations of quantitative methods
General competence
The candidate:
- develops critical skills required for developing and testing hypotheses
- develops group work skills
Content
The theoretical aspect of the course provides an in-depth discussion on the application of quantitative methods in interaction design and human computer interaction. The students are presented ways to quantify usability, user behaviour, and user experience as it emerges in common and emerging interactive settings involving different technologies. Relevant theory in experiment design and analysis is presented. Appropriate methods for statistical analysis are presented and discussed.
In the project work, students design, run, and analyse and experiment that addresses an aspect of an interaction design problem after reviewing relevant literature within a domain that is suggested or approved by the lecturer. Subsequently, they write a short scientific paper presenting their study.
Forms of teaching and learning
The following methods are used:
- Presentations
- Supervision
- Workshops
- Reading and discussing literature
- Project Work
Workload
Approx. 280 hours.
Coursework requirements - conditions for taking the exam
The student must during the semester:
- complete and present at least one approved project (individually or in groups of 2-4 students) in which a quantitative user study is designed, executed, analysed and discussed
- provide and present a research paper (individually or in groups of 2-4 students) in which the project is described in accordance with the details provided by the instructor
Coursework requirements must be accepted to qualify for the exam.
Examination
Individual written exam and project paper (individually or in groups of 2-4 students)
The exam is divided into two parts, each part counting 50%:
- Individual written exam based on the course curriculum. Duration 4 hours. No supporting materials allowed.
- Project paper (individually or in groups of 2-4 students) based on the project.
Grading scale A - F in both parts. Both parts of the exam must be passed to pass the course. The student will get an individual joint grade for the entire course.
Examiners
External and internal examiner, or two internal examiners.
Conditions for resit/rescheduled exams
Upon re-examination, each part of the examination can be retaken.
Course evaluation
This course is evaluated by a:
- Mid-term evaluation (compulsory)
The responsible for the course compiles a report based on the feedback from the students and his/her own experience with the course. The report is discussed by the study quality committee at the Department of Computer Science and Communication.