TY - GEN
T1 - Trace
T2 - 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
AU - Xia, Huichuan
AU - Østerlund, Carsten
AU - McKernan, Brian
AU - Folkestad, James
AU - Rossini, Patricia
AU - Boichak, Olga
AU - Robinson, Jerry
AU - Kenski, Kate
AU - Myers, Roc
AU - Clegg, Benjamin A.
AU - Stromer-Galley, Jennifer
N1 - Publisher Copyright:
© 2019 IEEE Computer Society. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Crowdsourcing has become a frequently adopted approach to solving various tasks from conducting surveys to designing products. In the field of reasoning-support, however, crowdsourcing-related research and application have not been extensively implemented. Reasoning-support is essential in intelligence analysis to help analysts mitigate various cognitive biases, enhance deliberation, and improve report writing. In this paper, we propose a novel approach to designing a crowdsourcing platform that facilitates stigmergic coordination, awareness, and communication for intelligence analysis. We have partly materialized our proposal in the form of a crowdsourcing system which supports intelligence analysis: TRACE (Trackable Reasoning and Analysis for Collaboration and Evaluation). We introduce several stigmergic approaches integrated into TRACE and discuss the potential experimentation of these approaches. We also explain the design implications for further development of TRACE and similar crowdsourcing systems to support reasoning.
AB - Crowdsourcing has become a frequently adopted approach to solving various tasks from conducting surveys to designing products. In the field of reasoning-support, however, crowdsourcing-related research and application have not been extensively implemented. Reasoning-support is essential in intelligence analysis to help analysts mitigate various cognitive biases, enhance deliberation, and improve report writing. In this paper, we propose a novel approach to designing a crowdsourcing platform that facilitates stigmergic coordination, awareness, and communication for intelligence analysis. We have partly materialized our proposal in the form of a crowdsourcing system which supports intelligence analysis: TRACE (Trackable Reasoning and Analysis for Collaboration and Evaluation). We introduce several stigmergic approaches integrated into TRACE and discuss the potential experimentation of these approaches. We also explain the design implications for further development of TRACE and similar crowdsourcing systems to support reasoning.
UR - http://www.scopus.com/inward/record.url?scp=85107646904&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85107646904&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85107646904
T3 - Proceedings of the Annual Hawaii International Conference on System Sciences
SP - 440
EP - 448
BT - Proceedings of the 52nd Annual Hawaii International Conference on System Sciences, HICSS 2019
A2 - Bui, Tung X.
PB - IEEE Computer Society
Y2 - 8 January 2019 through 11 January 2019
ER -