Exploring neuroscience literature and understanding relations between brain-related topics - Using Augmented Reality
Neuroscience researchers are interested in understanding relation between anatomical regions of the brain and disorders that affect them, for example. Using the topics themselves, rather than individual articles, to examine relation in a large body of literature, can provide a higher-level approach. I investigate the use of 3D representations in Augmented Reality to aid neuroscientists to explore literature and understand relations between brain-related topics, given the three-dimensional nature of the brain. Distant reading refers to comprehending the results of studies of a large number of articles, as opposed to the more common ”close reading” of individual publications. For distant reading of neuroscience literature, I identify visualization and interaction design requirements. My assumption is that by providing overviews of the correlations among topics through the use of literature, these will allow neuroscientists to better understand the gaps in the literature and more quickly identify the most suitable experiments to carry out. The DatAR team at Utrecht University has created a prototype 3D AR implementation using which I have carried out two studies of a literature exploration interface. These studies showed that visualizing topics and their relation in an immersive AR environment is clear, understandable and helpful for exploring neuroscience literature. In the following, I will carry out a study that participants can make parallel query and compare the results. I will further investigate in finding indirect relations between brain regions and brain diseases. The last study will support neuroscience students to understand course material. Interface improvements are considering where necessary.
|L. Hardman (Lynda)|
|Organisation||Human-Centered Data Analytics|
Tanhaei, G. (2022). Exploring neuroscience literature and understanding relations between brain-related topics - Using Augmented Reality. In Proceedings of the ACM SIGIR Conference on Human Information Interaction and Retrieval (pp. 387–390). doi:10.1145/3498366.3505806