SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search

@article{Otto2022SaLLightningDS,
  title={SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search},
  author={Christian Otto and Markus Rokicki and Georg Pardi and Wolfgang Gritz and Daniel Hienert and Ran Yu and Johannes von Hoyer and Anett Hoppe and Stefan Dietze and Peter Holtz and Yvonne Kammerer and Ralph Ewerth},
  journal={ACM SIGIR Conference on Human Information Interaction and Retrieval},
  year={2022}
}
The emerging research field Search as Learning (SAL) investigates how the Web facilitates learning through modern information retrieval systems. SAL research requires significant amounts of data that capture both search behavior of users and their acquired knowledge in order to obtain conclusive insights or train supervised machine learning models. However, the creation of such datasets is costly and requires interdisciplinary efforts in order to design studies and capture a wide range of… 

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