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WiSe 2021/22

Data Physicalization of Hidden Data - Einzelansicht

  • Funktionen:
Grunddaten
Veranstaltungsart Seminar SWS 4
Veranstaltungsnummer Max. Teilnehmer/-innen 10
Semester WiSe 2021/22 Zugeordnetes Modul
Erwartete Teilnehmer/-innen
Rhythmus einmalig
Hyperlink  
Weitere Links https://hide.medien.ifi.lmu.de/
Sprache englisch
Termine Gruppe: [unbenannt]
  Tag Zeit Rhythmus Dauer Raum Raum-
plan
Lehrperson Bemerkung fällt aus am Max. Teilnehmer/-innen
Einzeltermine anzeigen
Mo. 09:15 bis 10:45 wöch. von 18.10.2021     

online

 
Einzeltermine anzeigen
Mo. 11:00 bis 12:30 wöch. von 18.10.2021     

online

 
Gruppe [unbenannt]:
 
 


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

Computers and sensors are becoming more and more integrated and ubiquitous in users' daily environments and routines. Thus, the amount and types of information that is collected is constantly growing. In communication between users, such information can be crucial, but is sometimes difficult to convey due to the lack of language. For example, it is easy to report on a successful training session by referring to miles run or time spent in the gym, but other areas lack such quantifiable metrics or even understandable language at all. We call such information "hidden data" that is typically not directly accessible to users, such as hormone levels, emotional status, or memories and dreams.

 

The goal of this seminar-project style course is to explore the possibilities for data physicalization of such "hidden data", allowing users to learn a physical language that they can use as a medium for implicit or explicit communication in a collocated situation. Through a designerly approach, we will explore hidden data in our lives, how we can represent this data, and the potential consequences. This course is perfect for students who would like to be challenged to find problems, who enjoy multi-disciplinary group-work, and to come up with their own concepts.

 

The course is conducted in collaboration between LMU Munich, Bauhaus-Universität Weimar, and University of Augsburg and aims to explore and prototype physical artifacts. Students will focus on research topics such as "interactive/intelligent materials", "flexible/deformable interface materials", "shape-changing interfaces", and "ambient/peripheral interfaces". We encourage students to participate that have a high interest in prototyping with hardware (e.g., Arduino), working with unconventional materials (e.g., silicone), or using traditional fabrication techniques (e.g., origami-folding).

 

The course will have a mix of lectures, seminar-style reading, practical exercises as well as a final project. As up to 10 students from each of the three Universities involved can participate, the course will be delivered via online teaching.

 

This course is co-taught by Dr. Ceenu George (Univ. Augsburg) and Beat Rossmy (MSc), Luke Harrington, M.A.Sc. (LMU).

Literatur

http://dataphys.org

Bemerkung

max. participants: 10 (of which would be 7 places dedicated for HCI students) 

Voraussetzungen

All participants should enjoy working in an interdisciplinary group, want to be creative, build prototypes, and be able to converse in English.

Please send your application until October 12th to eva.hornecker@uni-weimar.de and rosa.donna.van.koningsbruggen@uni-weimar.de  (please include a description/portfolio of your prior experience in relevant areas and explain your interest in the project). We will inform accepted students by the 15th.

Leistungsnachweis

Active participation and interim presentations, practical problem-based work in multidisciplinary groups, and a project-based report.

Zielgruppe

Master Human-Commputer Interaction

Master Computer Science for Digital Media


Strukturbaum
Die Veranstaltung wurde 6 mal im Vorlesungsverzeichnis WiSe 2021/22 gefunden:
Electives  - - - 1
Master  - - - 2
Electives  - - - 3
Electives  - - - 4
Electives  - - - 5
Electives  - - - 6

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