The Ancient Greek Potter’s Wheel

Brandon Neth, Eleni Hasaki

The Ancient Greek Potter’s Wheel

Číslo: 2/2021
Periodikum: Interdisciplinaria Archaeologica
DOI: 10.24916/iansa.2021.2.1

Klíčová slova: potter’s wheel ancient Greece Mediterranean visualization velocity measurement web application

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Anotace: The potter’s wheel is central to the understanding of ancient technology, knowledge transfer, and social

complexity. With scant evidence of potter’s wheels from antiquity, experimental projects with replica
potter’s wheels can help researchers address larger questions on ceramic production. One such set of
experiments, performed using the Ancient Greek wheel replica in Tucson modelled on Athenian and
Corinthian iconographic evidence, provided useful insight into the qualitative experience of ancient
potters. In past experiments, the quantitative analysis of the throwing sessions included data on wheel
velocity which had been collected collected over large intervals, comprising entire stages of the
throwing process. While this method provides an overview of rotational speed, a continuous velocity
graph provides a clearer picture collected data on wheel velocity. To address this, we developed a web
application (WheelVis; brandonneth.github.io/wheelvis) to aid in the velocity analysis of experimental
potter’s wheels. Users provide a recording of the throwing session and while advancing through the
recording, they mark points where the wheel has completed rotations. Using the time intervals between
these points, the tool reconstructs a graph of the velocity of the wheel throughout the throwing session.
This innovative application provides fast, fine-grained velocity information, and helps archaeologists
answer questions about the physical properties of their experimental replicas or wheels used in
traditional workshops. Future development of the application will include contextual partitions to
allow users to split the throw into different stages, enabling further analysis into the throwing process.
Moreover, intelligent error detection would notify users when a mark is likely to be made in error and
allow them to correct their mistake