AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (831.4 KB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research paper | Open Access

Experimental results on large-scale cyber-physical hybrid discussion support

Takayuki Ito1( )Takanobu Otsuka1Satoshi Kawase1Akihisa Sengoku1Shun Shiramatsu1Takanori Ito1Eizo Hideshima1Tokuro Matsuo2Tetsuya Oishi2Rieko Fujita2Naoki Fukuta3Katsuhide Fujita4
Nagoya Institute of Technology, Nagoya, Japan
Advanced Institute of Industrial Technology, Tokyo, Japan
Shizuoka University, Hamamatsu, Japan
Tokyo University of Agriculture and Technology, Tokyo, Japan
Show Author Information

Abstract

Purpose

This paper aims to present a preliminary experimental result on a large-scale experiment on a cyber-physical hybrid discussion support environment in a panel discussion session in an international conference.

Design/methodology/approach

In this paper, the authors propose a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously. The authors conducted a large-scale experiment in a panel discussion session in an international conference where participants can discuss by using their online discussion support system and by physical communications as usual.

Findings

The authors analyzed the obtained date from the following three viewpoints: participants’ cyber-physical attention, keywords cyber-physical linkage and cyber-physical discussion flow. These three viewpoints indicate that the methodology of the authors can be effective to support hybrid large-scale discussions.

Originality/value

Online large-scale discussion has been focused as a new methodology that enable people to discuss, argue and make consensus in terms of political issues, social complex problems (like climate change), city planning and so on. In several cases, the authors found that online discussions are very effective to gather people opinions and discussions so far. Moreover, this paper proposes a hybrid (cyber-physical) environment in which people can discuss online and also offline simultaneously.

References

 

Gurkan, A., Iandoli, L., Klein, M. and Zollo, G. (2010), “Mediating debate through on-line large-scale argumentation: evidence from the field”, Information Sciences, Vol. 180 No. 19, pp. 3686-3702.

 
Ito, T., Imi, Y., Ito, T., and and Hideshima, E. (2014), “Collagree: facilitator-mediated large-scale consensus support system”, The 2nd Collective Intelligence Conference, available at: http://collective.mech.northwestern.edu/?page_id=217
 

Klein, M. (2012), “Enabling large-scale deliberation using attention-mediation metrics”, Computer Supported Cooperative Work (CSCW), Vol. 21 Nos 4/5, pp. 449-473. available at: http://dx.doi.org/10.1007/s10606-012-9156-4

 
Malone, T.W., Laubacher, R., Introne, J., Klein, M., Abelson, H., Sterman, J. and Olson, G. (2009), “The climate collaboratorium: project overview”, MIT Center for Collective Intelligence Working Paper No. 2009-03.
 

Robertson, S. and Zaragoza, H. (2009), “The probabilistic relevance framework: Bm25 and beyond”, Foundations and Trends in Information Retrieval, Vol. 3 No. 4, pp. 333-389. available at: http://dx.doi.org/10.1561/1500000019

 
Sengoku, A., Ito, T., Fujita, K., Shiramatsu, S., Ito, T. and Hideshima, E. (2016a), “Towards intelligent crowd decision support: a preliminary result on large-scale discussion suppor based on the discussion Tree (for special track on crowd decision making)”, Vancover, July 2016, pp. 27-30.
 
Sengoku, A., Ito, T., Takahashi, K., Shiramatsu, S., Ito, T., Hideshima, E. and Fujita, K. (2016b), “Discussion tree for managing large-scale internet-based discussions”, Collective Intelligence 2016, Stern School of Business, New York, University, (accessed 1-3 June 2016).
 
Takahashi, K., Ito, T., Ito, T., Hideshima, E., Shiramatsu, S., Sengoku, A. and Fujita, K. (2016), “Incentive mechanism based on qualit of opinion for Large-Scale discussion support”, Collective Intelligence 2016, Stern School of Business, New York, University, (accessed 1-3 June 2016).
International Journal of Crowd Science
Pages 26-38
Cite this article:
Ito T, Otsuka T, Kawase S, et al. Experimental results on large-scale cyber-physical hybrid discussion support. International Journal of Crowd Science, 2017, 1(1): 26-38. https://doi.org/10.1108/IJCS-01-2017-0003

656

Views

6

Downloads

10

Crossref

11

Scopus

Altmetrics

Received: 18 October 2016
Revised: 28 December 2016
Accepted: 09 January 2017
Published: 06 March 2017
© The author(s)

Takayuki Ito, Takanobu Otsuka, Satoshi Kawase, Akihisa Sengoku, Shun Shiramatsu, Takanori Ito, Eizo Hideshima, Tokuro Matsuo, Tetsuya Oishi, Rieko Fujita, Naoki Fukuta and Katsuhide Fujita. Published in International Journal of Crowd Science. Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

Return