@inproceedings{2374290b4a124eef9eb7a1d3051a0349,
title = "Society of “citizen science through dancing”",
abstract = "Citizen science is scientific research conducted by nonprofessional scientists. Game-based citizen science tools have contributed to accelerating recent science progress. They have been paid great attention because nonexperts can find new scientific facts. However, the approach mainly fascinates only hardcore gamers because finding new facts is too challenging for casual users and does not fascinate them for long periods. In this paper, we present Citizen Science through Dancing, where two casual users collaboratively find better protein-protein docking through their body actions. Then, we enhance the basic approach with a virtual reality platform named CollectiveEyes to present multiple persons{\textquoteright} eye views in a virtual space. CollectiveEyes offers a social watching functionality to Citizen Science through Dancing for more fascinating casual users. We also report the opportunities and pitfalls into our current approach.",
keywords = "Casual game players, Citizen science, Dance performance, Gamification, Health, Learning, Social watching, Wellbeing",
author = "Risa Kimura and Keren Jiang and Di Zhang and Tatsuo Nakajima",
year = "2021",
doi = "10.1007/978-3-030-58356-9_2",
language = "English",
isbn = "9783030583552",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "13--23",
editor = "Paulo Novais and Gianni Vercelli and Larriba-Pey, {Josep L.} and Francisco Herrera and Pablo Chamoso",
booktitle = "Ambient Intelligence – Software and Applications - 11th International Symposium on Ambient Intelligence, ISAml 2020",
note = "11th International Symposium on Ambient Intelligence, ISAmI 2020 ; Conference date: 07-10-2020 Through 09-10-2020",
}