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SoSe 2024

HCI Theory and Research Methods - Einzelansicht

  • Funktionen:
Grunddaten
Veranstaltungsart Vorlesung SWS 3
Veranstaltungsnummer 4345590 Max. Teilnehmer/-innen 30
Semester WiSe 2021/22 Zugeordnetes Modul
Erwartete Teilnehmer/-innen
Rhythmus einmalig
Hyperlink  
Weitere Links http://www.ehornecker.de/
Sprache englisch
Termine Gruppe: [unbenannt]
  Tag Zeit Rhythmus Dauer Raum Raum-
plan
Lehrperson Bemerkung fällt aus am Max. Teilnehmer/-innen
Einzeltermine anzeigen
Di. 09:15 bis 10:45 wöch. von 12.10.2021     

 online


->Lecture: provided as recorded video via Moodle 

 
Gruppe [unbenannt]:
 
 


Zugeordnete Person
Zugeordnete Person Zuständigkeit
Hornecker, Eva, Prof., Dr.-Ing.
Studiengänge
Abschluss Studiengang Semester Leistungspunkte
Master Computer Science and Media (M.Sc.), PV 11 - 4,5
Master Human-Computer Interaction (M.Sc.), PV14 - 4,5
Master Human-Computer Interaction (M.Sc.), PV17 - 4,5
Master Human-Computer Interaction (M.Sc.), PV15 - 4,5
Master Computer Science for Digital Media (M.Sc.), PV 18 - 4,5
Master Human-Computer Interaction (M.Sc.), PV19 - 6
Master Computer Science for Digital Media (M.Sc.), PV 2020 - 6
Master Computer Science for Digital Media (M.Sc.), PV 17 - 4,5
Zuordnung zu Einrichtungen
Human-Computer Interaction (HCI)
Fakultät Medien
Inhalt
Beschreibung

The course provides an overview of the different perspectives within HCI and of its interdisciplinary nature. It will introduce students to the different types of research methods commonly used within HCI research, ranging from quantitative experimental studies to qualitative research methods and mixed method strategies, and present case studies as examples illustrating the use of these methods. Students will gain practical experience in utilizing a selection of these methods through practical assignments and mini-projects, and work with the research literature.

 

The course will furthermore provide an overview of how the role of theory in HCI has expanded from the early days of human factors and mathematical modelling of behaviour to include explanatory and generative theories, which reflect influences from fields such as design, sociology, and ethnography.

 

Successful students should be able to

-      appreciate the diversity of research methods and relate them to research paradigms and theory

-      select research methods appropriate to the domain and research question, based on an understanding of the characteristics, strengths and weaknesses, and practical demands of methods 

-      reflect on ethical aspects of study design

-      utilize a range of HCI research methods and approaches to investigate a research question 

-      design, plan, and organize user studies and interpret the data

-      report and present user studies and findings properly

-      relate the role of theory in HCI to the expanding range of methodical approaches utilized for HCI research

 

engl. Beschreibung/ Kurzkommentar

The course will introduce students to the different types of research methods commonly used within HCI research in order to study and understand people, from quantitative experimental studies to qualitative research methods and mixed method strategies, and will present example case studies illustrating the use of these methods. The focus of this course lies on qualitative methods (e.g. interviews and observation) and qualitative data analysis (that is, approaches which do not rely on statistical analysis). You will gain practical experience in utilizing a selection of these methods through practical assignments and mini-projects, and will work with the research literature.

The course will furthermore provide an overview of how the role of theory in HCI has expanded from the early days of human factors and mathematical modelling of behaviour to include explanatory and generative theories, which reflect influences from fields such as design, sociology, and ethnography.


Successful students should be able to
-    appreciate the diversity of research methods and relate them to research paradigms and theory
-    select research methods appropriate to the domain and research question, based on an understanding of the characteristics, strengths and
     weaknesses, and practical demands of methods  
-    utilize a range of HCI research methods and approaches to investigate a research question  
-    report and present user studies and findings properly
-    relate the role of theory in HCI to the expanding range of methodical approaches utilized for HCI research

Due to the current situation, the course will be taught online, with a Moodle page as main entry point where you find all further details and access to contents and sessions. Please prepare for a mix of synchronous teaching (where you need to be online at specific times) and asynchronous delivery.

We will start with recorded lectures, but might switch to live-lectures (if this proves to work out). We plan to run the practical sessions in real-time via University online platforms. We also plan a half-hour real-time check-in session per week for discussion and questions. Provided in-person teaching may be allowed again, we may do a few in-presence sessions later in the semester, if this does not leave out any of the participants.

Students need to organize themselves into small groups for assignments and should thus be able to communicate, at least remotely, with each other.

Literatur

Main texts (in excerpts):

Lazar et al. Research Methods in Human-Computer Interaction

Cairns & Cox. Research Methods for Human-Computer Interaction. Cambridge Univ Press

Yvonne Rogers, HCI Theory. Morgan & Claypool

 

Additional readings:

Andy Field and Graham Hole. How to Design and Report Experiments. Sage

Uwe Flick. Introduction to Qualitative research. Sage 2014

 

Leistungsnachweis

For 4,5 ECTS: practical assignments in group work and an individual mini-project with report (at end of semester).

 

To achieve 6 ECTS, students need to do some additional (smaller) individual tasks over the course of the semester.

Zielgruppe

Master Human-Computer Interaction

Master Computer Science and Media /Computer Science for Digital Media

 


Strukturbaum
Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester WiSe 2021/22 , Aktuelles Semester: SoSe 2024

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