Presentation information

Organized Session

Organized Session » OS-20

[1M5-OS-20c] 社会現象とAIと可視化(3/3)

Tue. Jun 14, 2022 4:20 PM - 5:40 PM Room M (Room B-2)

オーガナイザ:伊藤 貴之(お茶の水女子大学)[現地]、脇田 建(東京工業大学)

5:00 PM - 5:20 PM

[1M5-OS-20c-03] Multiscale Visual Analytics of Long-term Conversation Records from the Apollo Missions

Kyo Ueda1, 〇Ken Wakita1 (1. Tokyo Institute of Technology)

Keywords:Visual Analytics

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.

Authentication for paper PDF access

A password is required to view paper PDFs. If you are a registered participant, please log on the site from Participant Log In.
You could view the PDF with entering the PDF viewing password bellow.