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SoSe 2024

How to Track Eyes Online (Fast) - Einzelansicht

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Grunddaten
Veranstaltungsart Projekt SWS 10
Veranstaltungsnummer 420210012 Max. Teilnehmer/-innen 8
Semester WiSe 2020/21 Zugeordnetes Modul
Erwartete Teilnehmer/-innen
Rhythmus
Hyperlink http://www.uni-weimar.de/usability
Sprache englisch


Zugeordnete Person
Zugeordnete Person Zuständigkeit
Ehlers, Jan, Jun.Prof., Dr.phil.
Studiengänge
Abschluss Studiengang Semester Leistungspunkte
Master Computer Science and Media (M.Sc.), PV 11 - 15
Master Human-Computer Interaction (M.Sc.), PV14 - 15
Master Human-Computer Interaction (M.Sc.), PV17 - 15
Master Digital Engineering (M.Sc.), PV 17 - 12
Master Human-Computer Interaction (M.Sc.), PV15 - 15
Master Computer Science for Digital Media (M.Sc.), PV 18 - 15
Master Digital Engineering (M.Sc.), PV 19 - 12
Master Human-Computer Interaction (M.Sc.), PV19 - 12/18
Master Computer Science for Digital Media (M.Sc.), PV 2020 - 12
Master Computer Science for Digital Media (M.Sc.), PV 17 - 15
Zuordnung zu Einrichtungen
Fakultät Medien
Inhalt
Beschreibung

Physiological data (like brain waves, skin conductance changes, pupil dynamics or heart rate variabilities) can be applied to determine user-states and enable computer systems to dynamically adapt to changes in cognitive or affective processing. Usually, controlled laboratory experiments are carried out to investigate basic mechanisms of bodily activations and to specify connections between physiologic arousal and cognitive processing. However, hygiene regulations and social distancing currently make it difficult to collect such data in the usual way. This gives rise to the question of how recent advances in webcam technology can be applied to conduct eye-tracking studies or to remotely collect other types of physiological data like changes in facial blood flow. The current project aims to evaluate state-of-the-art webcams during remote psychophysiological testing. We will review the current literature, discuss experimental designs and carry out an empirical study to determine the measurement accuracy of selected physiological variables during both cognitive and affective tasks.

Literatur

Will be announced

Voraussetzungen

We assume you are interested in the realization of technical solutions as well as in designing and carrying out an empirical study on remote physiological measures. (Basic) Programming skills in Python and some technical understandings are a precondition; knowledge of quantitative research and the experimental method is helpful.

Leistungsnachweis

Project members are encouraged to implement and carry out an empirical study; physiological data need to be processed and statistical analyses have to be performed; results are to be documented in a lab report.

Zielgruppe

M.Sc. Human-Computer Interaction

M.Sc. Computer Studies for Digital Media

M.Sc. Digital Engineering


Strukturbaum
Keine Einordnung ins Vorlesungsverzeichnis vorhanden. Veranstaltung ist aus dem Semester WiSe 2020/21 , Aktuelles Semester: SoSe 2024

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