ID 2521: SocialmEDiA – Physiological Responses to Visual Stimuli

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Research Internship / Project

Background: The effects of excessive social media use remain a relatively underexplored area. Given how common and frequent smartphone use has become, this topic is currently a relevant research field. Among other things, it raises the question of whether frequent social media use has (negative) effects on human physiology.

The aim of this project is to determine whether social media use influences physiological responses to visual stimuli. We are examining electrodermal activity, heart rate variability, and breathing patterns. Data collection is currently ongoing. The goal of the project is to process, analyze, and interpret these data accordingly.

Tasks:

  1. Preprocessing of ECG, EDA, and respiration signals
  2. Feature extraction of relevant properties
  3. Statistical analysis of features and presentation of results

Requirements:

  • Very good knowledge of Python
  • Good knowledge of signal processing
  • Good knowledge of statistics/evaluation (e.g., correlations)
  • Interest in the interface between data science, AI, and psychology
  • Independent working style
  • English proficiency

 

If you are interested in working with us, please use the application form to apply. We will then get in contact with you and together, we can identify a suitable topic for you.

Supervisors

Sophie Fischerauer, M. Sc.

Researcher & PhD Candidate

Marie Oesten, M. Sc.

Researcher & Doctoral Candidate