Introducing Layers of Meaning (LoM): A Framework to Reduce Semantic Distance of Visualization In Humanistic Research

Houda Lamqaddam, Andrew Vande Moere, Vero Vanden Abeele, Koenraad Brosens, Katrien Verbert

View presentation:2020-10-30T16:15:00ZGMT-0600Change your timezone on the schedule page
2020-10-30T16:15:00Z
Exemplar figure
Diagram showing the five axes of the Layers of Meaning (LoM) framework, divided along two categories. This is a framework aimed at enriching the semantic expressiveness of infovis tools for humanities research.
Keywords

Infovis, Humanities, Digital Humanities

Abstract

Information visualization (infovis) is a powerful tool for exploring rich datasets. Within the context of humanistic research, rich qualitative data and domain specificities make traditional infovis approaches appear reductive and disconnected, leading to low adoption. In this paper, we use a multi-step approach to scrutinize the relationship between infovis and the humanities and suggest new directions for it. We first look into infovis from the humanistic perspective by exploring the humanistic literature around infovis. We then validate and expand upon those findings though a co-design workshop with humanist researchers and infovis experts. Then, we translate our findings into guidelines for designers and conduct a design critique exercise to explore their effect on humanist researchers perception. Based on these steps, we propose a framework to reduce the semantic distance between humanist researchers and visualizations of their research material, by grounding infovis tools in time and space, physicality, terminology, nuance, and provenance.