User Acceptance of Cognition-Aware E-Learning: An Online Survey

Nico Herbig; Patrick Schuck; Antonio Krüger

In: Proceedings of the 18th International Conference on Mobile and Ubiquitous Multimedia. International Conference on Mobile and Ubiquitous Multimedia (MUM-2019), November 27-29, Pisa, Italy, ISBN 978-1-4503-7624-2/19/11, ACM, 11/2019.


The idea to enhance the learning experience of e-learning platforms by incorporating measures about the user’s cognitive state, e.g. the cognitive load, boredom, or attention, has been proposed several times and shows promising results. However, the works have mostly dealt with conceptual implications and technical possibilities to detect the state, without considering the user acceptance. This paper therefore investigates whether users would actually be willing to provide access to sensor data such as heart or skin measurements for the sake of making e-learning systems cognitionaware. The results of an online survey with 50 participants show that people would provide access to behavioral data like keyboard input without major concerns; however, other sensors are considered more sensitive and would require strong learning experience improvements to make disclosure worthwhile. Participants also appear less concerned about sensors that are integrated into consumer devices than about less widespread ones. Furthermore, we report the general opinions regarding cognition-aware e-learning and discuss ideas on how best to adapt to the cognitive state.


Weitere Links

KOALA_UserAcceptance_MUM_final.pdf (pdf, 492 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence