Internalization, qualitative methods, and evaluation
Proceedings of the 2008 Workshop on BEyond time and errors: novel evaLuation methods for Information Visualization
Challenges of evaluating the information visualisation experience
BCS-HCI '07 Proceedings of the 21st British HCI Group Annual Conference on People and Computers: HCI...but not as we know it - Volume 2
Bridging the Gap between Linked Data and the Semantic Desktop
ISWC '09 Proceedings of the 8th International Semantic Web Conference
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As researchers we are constantly working with academic literature. Literature data is growing exponentially. Interacting with this huge amount of information has been a challenge for the field of HCI for years. The goal is to assist users in making sense of this information by producing usable designs. Information Visualization (InfoVis) augments users' cognition when interacting with complex data structures. Although the use of InfoVis as a tool for representing literature data is not new, we have found that most of the existing Literature Knowledge Domain Visualizations (LKDViz) target specialists known as domain analysts who study publication patterns. Our goal is to design a LKDViz tool for academic users. Due to the diversity of academic literature users we captured their experiences and used it as the main source for our design. Interestingly, this method generated design criteria that have not been applied in most of the academic literature visualizations.