TY - GEN
T1 - TRACE
T2 - A Stigmergic Crowdsourcing Platform for Intelligence Analysis
AU - Xia, Huichuan
AU - Oesterlund, Carsten
AU - McKernan, Brian
AU - Folkestad, James E.
AU - Rossini, Patrícia
AU - Boichak, Olga
AU - Robinson, Jerry Lamont
AU - K, Kenski
AU - R, Myers
AU - Clegg, B. A.
AU - Stromer-Galley, Jennifer
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.
U2 - 10.24251/HICSS.2019.053
DO - 10.24251/HICSS.2019.053
M3 - Conference contribution
BT - Proceedings of the 51st Hawaii International Conference on System Sciences
ER -