Hand(y) Movements: Defining Cognitive Load Through Smartphone Accelerometer Sensors (CoLA) - Einzelansicht

Exploring non-invasive ways to determine the level of mental processing is essential for human-computer applications as an all too low/high cognitive load is likely to cause human errors in critical tasks.
The present project aims to investigate a yet unexplored way to quantify the extent of cognitive load via smartphone accelerometer sensors in a controlled lab study. Students will be asked to implement a simple App that allows to vary the amount of load in two established cognitive tasks and that collects data on individual hand movement patterns. Results need to be analysed and documented in a lab report.

to be announced

Zeit und Ort werden zu Projektbörse bekannt gegeben!
The time and place will be announced at the project fair!

Experiences in App programming as well as knowledge ofexperimental methods are beneficial

1) Implement an App that allows to vary the task load in two cognitive load assignments

2) Find a way to derive hand movement patterns from smartphone accelerometer sensors

3) Design an empirical study in order to correlate the shivering of the hand with different levels of cognitive load

4) Analyse and document your findings in a lab report

B.Sc. Informatik,
M.Sc. Computer Science and Media,
M.Sc. Computer Science for Digital Media,
M.Sc. Human Computer Interaction.