Research of Interactive Systems
6 EC
Semester 1, periode 2
5072ONIS6Y
Eigenaar | Bachelor Informatiekunde |
Coördinator | prof. dr. Judith Good PhD |
Onderdeel van | Bachelor Informatiekunde, jaar 2 |
The main goal of the course is to illustrate the multidisciplinary nature of Information Science (which combines and integrates social sciences and ICT) through research articles, real-world examples and a research project which will be conducted by the students themselves. In particular, the course will explore the application of psychological research methods (experimental design, statistical analysis) to human computer interaction.
The course aligns with the Human Factors theme, the Data Science theme and the AV theme on Research Methods. The course builds on aspects of human cognition and perception covered in the introductory course IK in Vogelvlucht in the first year. In addition, it builds on the first-year Analytical Methods and Techniques course and prepares students for the third-year course on Research Methods and Techniques as well as the Thesis.
The central theme of the course is how users interact with complex systems, dynamic or otherwise. We address this overarching theme through three sub-themes:
In addition to the academic content covered in each theme, students deepen their statistical knowledge and skills, and conduct their own research (in groups of 4-5 students) on one of the three sub-themes. The aim is to complete all phases of the research project, from formulating a good question, to choosing and using an appropriate research method, to analysing and interpreting the data collected and finally, to reporting on the research, both orally and in writing.
Literature for each of the sub-themes as well as the statistics materials are available on Canvas.
Het materiaal op de Canvas site van Practicum Oriëntatie en Reflectie
The course combines studying and analysing the relevant research literature along with seminars on statistics and research methods.
The format of the course is as follows. Each week there will be: one lecture (2 hours), one statistics seminar (2 hours), and one research seminar (2 hours).
Lecture (hoorcollege): During the lectures (hoorcolleges), the three sub-themes and their associated literature (see Canvas) will be discussed. The lecture covers the main points from the literature and addresses any questions you may have about the articles.
In order to prepare for the lecture, you should read the assigned articles, and prepare any questions you would like to ask (these can be emailed in advance if you prefer not to ask questions during the lecture).
Statistics seminar (werkcollege): each week during the statistics seminar, a new statistical technique will be introduced, and you will be given the opportunity to practice applying it.
The material for each week (including relevant data files) can be found on Canvas.
During this seminar, groups of students will also give a presentation on that week’s statistical topic (for example, on Principal Component Analysis, or ANOVA).
In preparation for the statistics course, it is expected that students have:
Success in this seminar depends on preparation. If you are not well prepared, then you will not gain much from the seminar. The goal is to acquire the required prior knowledge independently and to deepen and apply that knowledge during the seminar, and ask any questions that you might have.
Research seminar (werkcollege): In this seminar, you will group in group (4-5 students) on a research question of your own choosing (from the three sub-themes presented in the course). Each week, your tutor will guide you in conducting a specific part of the research (e.g. devising a question, choosing a method, etc.). The project will conclude with a research report, a (poster) presentation and a short pitch.
Activity |
Number of hours |
Tests |
4 |
Lectures |
12 |
Presentation |
4 |
Seminars |
24 |
Self study |
84 |
In addition to attending the lectures and seminars (6 hours per week), you are expected to spend approximately 15 hours per week on the course, e.g.: 4 hours studying the required literature, 4 hours studying the statistics materials, and 7 hours on developing, conducting and reporting on the research.
Within the course, research skills, writing skills and presentation skills play an important role.
Research skills are assessed through the research paper, using the following criteria:
Writing skills are also assess through the research report, using the criteria below:
Reflection skills are assessed on the basis of the individually written reflection on the research.
Aanwezigheidseisen opleiding (OER-B):
Aanvullende eisen voor dit vak:
There is a strict attendance requirement for both types of seminars. If you are unable to attend due to serious circumstances, please report this to your tutor as soon as possible.
Lectures (hoorcolleges): attendance is highly recommended.
Onderdeel en weging | Details | Opmerkingen |
Eindcijfer | ||
1 (50%) Theoretical Part | ||
0.25 (50%) Exam 1 | Average of the two exams must be 5.5 or higher | |
0.25 (50%) Exam 2 | ||
1 (50%) Practical Part | Average of the three practical elements must be 5.5 or higher | |
0.3 (60%) Group research report | ||
0.1 (20%) Group research presentation and poster | ||
0.1 (20%) Group statistics presentation |
Both subtests consist of open-ended questions (6 on the research literature and 3 on statistics). To pass, the average of the two subtests must be 5.5 or higher.
The group research report (including the individual reflection), group research presentation and poster and group statistics presentation must also have an average grade of 5.5 or higher.
De manier van inzage wordt via de digitale leeromgeving gecommuniceerd.
The first seminar of each week is devoted to a statistical topic. Each week a group will give a presentation on that particular topic. The seminar tutor will also provide information on the topic, and students will work through an assignment using R (and with the data files which will be made available on Canvas).
The second seminar of each week is devoted to your own research, which will be developed in groups. Each week, a topic relevant to your research project will be discussed during the seminar: choosing a theme, doing a literature search, writing article summaries, formulating a research question, deciding on an appropriate method and statistical analysis technique, collecting and analysing data, reporting, and final presentation. Each week, your group will be required to submit the relevant section of your research report, which will culminate in a group report (along with an individual reflection written by each group member). The research will also conclude with a presentation and a pitch.
Dit vak hanteert de algemene 'Fraude- en plagiaatregeling' van de UvA. Hier wordt nauwkeurig op gecontroleerd. Bij verdenking van fraude of plagiaat wordt de examencommissie van de opleiding ingeschakeld. Zie de Fraude- en plagiaatregeling van de UvA: http://student.uva.nl
Overview, lecture topics, statistics topics, and research seminar activities
Week |
Lecture theme |
Statistics seminar |
Research seminar |
1 |
Social robots I |
t-test |
Choose topic/ literature search |
2 |
Social robots II |
reliability |
Summarise three research articles plus research question |
3 |
Serious games I |
ANOVA (analysis of variance) |
Choose method |
4 |
Test |
||
5 |
Serious games II |
effect size, significance, power |
Conduct research |
6 |
Visual Analytics |
ANCOVA (analysis of co-variance) |
Analyse results |
7 |
Visual Analytics |
Principal Component Analysis (PCA) |
Report |
8 |
Presentation and test |
Detailed overview of research project (activities and deliverables)
Week |
Activities |
Product |
Deadline |
Feedback |
Week 1 |
Literature search, select and summarise three relevant articles and devise draft research question(s) |
Three summaries and draft research question(s) |
In consultation with seminar tutor |
During seminar week 2 |
Week 2 |
Peer and tutor feedback on summaries draft and question(s) Begin writing introduction and theoretical background |
Draft introduction and theoretical background |
In consultation with seminar tutor |
During seminar week 3 |
Week 3 |
Peer and tutor feedback on introduction and theoretical background Begin writing method section |
Draft method section |
In consultation with seminar tutor |
NB: week 4 is test 1 week; feedback on request |
Week 4 |
No lecture or seminars Test 1: 23 November 13.00 - 15.00. If possible, begin conducting research. Submit revised introduction and theoretical background report sections |
|||
Week 5 |
Feedback on method section, carry out research |
Final method section |
In consultation with seminar tutor |
During seminar week 6 |
Week 6 |
Present preliminary results |
Draft results section, plus bullet points for discussion and conclusion |
In consultation with seminar tutor |
During seminar week 7 |
Week 7 |
(Peer) feedback on results, discussion and conclusion |
Draft final report: all sections in one pdf + draft poster |
In consultation with seminar tutor |
|
Week 8 |
Test 2 Tuesday, 20 December, 9:00 - 11:00
|
Poster presentations Thursday, 22 December, 9:00 - 13:00
|
||
Submission of final report: Saturday, 24 December, 23:59 pm |
Het rooster van dit vak is in te zien op DataNose.
Aanbevolen voorkennis:
Analysemethoden- en technieken.
Bijzonderheden:
Practicum Oriëntatie en Reflectie
Oriëntatie op studiekeuze en het beroepenveld is deels belegd in Practica Oriëntatie en Reflectie (POR). Deze practica maken deel uit van het lesprogramma van dit vak en worden verzorgd door tutoren, de coördinator academische vaardigheden en gastsprekers.
Voor Informatiekunde-studenten is het volgen van deze practica een voorwaarde om dit vak te kunnen afsluiten. Hiervoor geldt onder andere een aanwezigheidsplicht. Studenten die geen Informatiekunde studeren, zijn vrijgesteld van deze practica.
Studenten die eerder het vak Tutoraat IK2 of de Practica Oriëntatie en Reflectie (2015-2016) hebben gevolgd en succesvol afgesloten, kunnen vrijstelling aanvragen voor deze practica Oriëntatie en Reflectie bij de coördinator academische vaardigheden. Neem ook met andere vragen over POR contact op met deze coördinator.
Canvas:
This course has a Canvas site, where you will find all relevant materials and information, and where you can upload your assignments. Please check it regularly!
Based on last year's feedback and experience, the two tests will be open book, and the requirement to prepare questions as a group before the lecture and the statistic seminar has been dropped (although preparing questions is still strongly encouraged).