Project EVOLUZ, financed by the Academy of Finland (duration: 2017-2021) is a research project, which addresses the need to understand and support historians' work tasks in digital invironment. Our goal is to understand and to develop methods and tools for improving information interactions of the end users accessing digital cultural heritage collections. The research is based on the task-based information interactions (TBII paradigm). Personnel: Dr. Heikki Keskustalo (research leader), Dr. Sanna Kumpulainen (user studies), Dr. Boyang Zhang (constructive research and development). National and international cooperation: Dr. Jaap Kamps, University of Amsterdam; Dr. Kimmo Kettunen, National Library of Finland; Dr. Marko Tikka, University of Tampere; Dr. Krisztian NBalog, University of Stavanger; Dr. Thea Lindquist, University of Colorado Boulder. This GitHub site is intended for documenting and sharing the programming codes developed during the research.
In addition to historians themselves, the digital methods in history research have drawn the attention of researchers in information studies. Our fields of study include information retrieval and information behavior. This is an international research effort aiming at supporting digital historians research work tasks. The context of the research is historian’s research work and we will particularly focus on (a) research processes and needs descriptions of the historians' work tasks, and (b) the study the information retrieval in historical document collections, and how to support these with fuzzy matching methods.
Traditionally, digital access methods in historical research have been studied from the viewpoint of the document collections and data. Instead of this data-centric view, we adopt information interaction centered view towards accessing digital collection. Information interaction is understood as behavioral and cognitive activities related to task planning, searching and selecting information items, working with information items, and synthetizing and reporting. Information interaction encompasses searching in the larger task context. This means that the actions are framed by a motivating task that triggers searching. We aim at better understanding the rationale behind actions and by this enable combining task-based approach into tool development and evaluation.
This repository contains the code to collect .
The tasks include: