Proceedings of the Annual Conference of JSAI
Online ISSN : 2758-7347
36th (2022)
Session ID : 1M5-OS-20c-03
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Multiscale Visual Analytics of Long-term Conversation Records from the Apollo Missions
Kyo UEDA*Ken WAKITA
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Keywords: Visual Analytics
CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

It is intriguing to learn how people share challenging goals and work together over a long period. Analysis and insights from the records of such activities can contribute to accomplishing even more challenging goals in the future. In this report, we describe Artemis, a visual analytics system that supports the analysis of more than 1,000 hours of recorded conversations documenting the operation of an ambitious space program. Artemis supports five major analysis tasks through hierarchical indexing of a large set of recorded conversations. We will also report on some of the insights gained from its use.

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© 2022 The Japanese Society for Artificial Intelligence
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