Design Challenges and Opportunities of Fossil Preparation Tools and Methods
- Fossil preparation is the activity of processing paleontological specimens for research and exhibition purposes. In addition to traditional mechanical extraction of fossils, preparation presently comprises non-destructive digital methods that are part of a relatively new field, namely virtual paleontology. Despite significant technological advances, both traditional and digital preparation remain cumbersome and time-consuming endeavors. However, this field has received scarce attention from a human-computer interaction perspective. The present study aims to elucidate the state-of-the-art for paleontological fossil preparation in order to determine its main challenges and start a conversation regarding opportunities for creating novel designs that tackle the field's current issues. We conducted a qualitative study involving both technical preparators and virtual paleontologists. The study was divided into two parts: First, we assembled technical preparators and paleontology researchers in a focus group session to discuss their workflows, obtain a preliminary understanding of their issues, and ideate solutions based on their counterparts' workflows. Next, we conducted a series of contextual inquiries involving direct observation and semi-structured in-depth interviews. We transcribed our recordings and examined the data through theoretical and inductive thematic analysis, clustering emerging themes and applying concepts from human-computer interaction and related fields. Our findings report on challenges faced by traditional and digital fossil preparators and potential opportunities to improve their tools and workflows. We contribute with a novel analysis of fossil preparation from an HCI perspective.
Author: | Lucas Siqueira RodriguesORCiD, John Nyakatura, Stefan Zachow, Johann Habakuk Israel |
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Document Type: | In Proceedings |
Parent Title (English): | Proceedings of the 20th International Conference on Culture and Computer Science: Code and Materiality |
Publisher: | Association for Computing Machinery |
Place of publication: | New York, NY, USA |
Date of first Publication: | 2023/12/06 |
DOI: | https://doi.org/10.1145/3623462.3623470 |