TRACE: A Stigmergic Crowdsourcing Platform for Intelligence Analysis

Huichuan Xia, Carsten Oesterlund, Brian McKernan, James E. Folkestad, Patrícia Rossini, Olga Boichak, Jerry Lamont Robinson, Kenski K, Myers R, B. A. Clegg, Jennifer Stromer-Galley

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.
Original languageEnglish (US)
Title of host publicationProceedings of the 51st Hawaii International Conference on System Sciences
Number of pages9
DOIs
StatePublished - 2019

Fingerprint

Communication

Cite this

Xia, H., Oesterlund, C., McKernan, B., Folkestad, J. E., Rossini, P., Boichak, O., ... Stromer-Galley, J. (2019). TRACE: A Stigmergic Crowdsourcing Platform for Intelligence Analysis. In Proceedings of the 51st Hawaii International Conference on System Sciences https://doi.org/10.24251/HICSS.2019.053

TRACE : A Stigmergic Crowdsourcing Platform for Intelligence Analysis. / Xia, Huichuan; Oesterlund, Carsten; McKernan, Brian; Folkestad, James E.; Rossini, Patrícia; Boichak, Olga; Robinson, Jerry Lamont; K, Kenski; R, Myers; Clegg, B. A.; Stromer-Galley, Jennifer.

Proceedings of the 51st Hawaii International Conference on System Sciences. 2019.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xia, H, Oesterlund, C, McKernan, B, Folkestad, JE, Rossini, P, Boichak, O, Robinson, JL, K, K, R, M, Clegg, BA & Stromer-Galley, J 2019, TRACE: A Stigmergic Crowdsourcing Platform for Intelligence Analysis. in Proceedings of the 51st Hawaii International Conference on System Sciences. https://doi.org/10.24251/HICSS.2019.053
Xia H, Oesterlund C, McKernan B, Folkestad JE, Rossini P, Boichak O et al. TRACE: A Stigmergic Crowdsourcing Platform for Intelligence Analysis. In Proceedings of the 51st Hawaii International Conference on System Sciences. 2019 https://doi.org/10.24251/HICSS.2019.053
Xia, Huichuan ; Oesterlund, Carsten ; McKernan, Brian ; Folkestad, James E. ; Rossini, Patrícia ; Boichak, Olga ; Robinson, Jerry Lamont ; K, Kenski ; R, Myers ; Clegg, B. A. ; Stromer-Galley, Jennifer. / TRACE : A Stigmergic Crowdsourcing Platform for Intelligence Analysis. Proceedings of the 51st Hawaii International Conference on System Sciences. 2019.
@inproceedings{266f741504ac432e8797663dd545bfaa,
title = "TRACE: A Stigmergic Crowdsourcing Platform for Intelligence Analysis",
abstract = "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.",
author = "Huichuan Xia and Carsten Oesterlund and Brian McKernan and Folkestad, {James E.} and Patr{\'i}cia Rossini and Olga Boichak and Robinson, {Jerry Lamont} and Kenski K and Myers R and Clegg, {B. A.} and Jennifer Stromer-Galley",
year = "2019",
doi = "10.24251/HICSS.2019.053",
language = "English (US)",
booktitle = "Proceedings of the 51st Hawaii International Conference on System Sciences",

}

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 -