Studiengänge
| Abschluss |
Studiengang |
Semester |
Leistungspunkte |
| Bachelor |
Medieninformatik (B.Sc.), PV 29
|
-
|
15
|
| Master |
Computer Science and Media (M.Sc.), PV 11
|
-
|
15
|
| Bachelor |
Medieninformatik (B.Sc.), PV 11
|
-
|
15
|
| Master |
Human-Computer Interaction (M.Sc.), PV14
|
-
|
15
|
| Bachelor |
Medieninformatik (B.Sc.), PV 17
|
-
|
15
|
| Bachelor |
Medieninformatik (B.Sc.), PV 16
|
-
|
15
|
| Master |
Human-Computer Interaction (M.Sc.), PV17
|
-
|
15
|
| Master |
Human-Computer Interaction (M.Sc.), PV15
|
-
|
15
|
| Master |
Computer Science for Digital Media (M.Sc.), PV 18
|
-
|
15
|
| Master |
Human-Computer Interaction (M.Sc.), PV19
|
-
|
12/18
|
| Master |
Computer Science for Digital Media (M.Sc.), PV 17
|
-
|
15
|
Inhalt
| engl. Beschreibung/ Kurzkommentar |
Dating platforms provide the opportunity to indicate interest in other users by reacting to their online profile. In a binary selection procedure, one may either like (swipe right) or reject (swipe left) a given account. Thereby, every profile picture (regardless of whether rated attractive or not) should be associated with a specific increase in bodily arousal on the recipient’s side. Various studies have shown pupil diameter to constitute a valid indicator of changes in bodily activation. Moreover, recent research on machine learning techniques "paddprovides promising results on classifying emotional states with the help of pupillary dynamics. The current project aims to implement a pupil-based algorithm to automatically detect user preferences while viewing faces of potential partners.
Participant’s task is 1) to collect empirical data on pupil reactions towards various face stimuli, 2) to identify useful features in the pupillary signal and 3) to train selected machine learning techniques with the acquired data. |
| Literatur |
t.b.d. |
| Bemerkung |
Zeit und Ort werden zur Projektbörse bekannt gegeben / Time and place will be announced on the project fair |
| Voraussetzungen |
(Practical) experience in and/or theoretical knowledge of machine learning techniques. Also, we assume you are interested in carrying out an empirical study. |
| Leistungsnachweis |
Active participation during data collection, feature selection, classifying procedure and documentation. |
| Zielgruppe |
Bachelor MI, Master CS4DM, Master CSM, Master HCI |
