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Last modified by Mark Neerincx on 2025/04/17 14:02
From version 6.1
edited by Mark Neerincx
on 2022/02/06 14:17
Change comment: There is no comment for this version
To version 5.1
edited by Bart Vastenhouw
on 2021/05/27 13:55
Change comment: There is no comment for this version

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1 -HOME SCE
1 +HOME sCE
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1 -XWiki.MarkNeerincx
1 +XWiki.BartVastenhouw
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1 -This space provides an overview and short examples of the **Wiki Socio-Cognitive Engineering (WiSCE) tool,** which is built and maintained in XWiki (a wiki content tool for teams to collaborate and share knowledge efficiently). WiSCE provides guidance and structure for capturing, maintaining and refining functional (user) requirements with the design rationale, in addition to providing [[a library of validated team and interaction design patterns>>tdplibrary:Main.WebHome]]. 
1 +This space provides an overview and short examples of the **Wiki Socio-Cognitive Engineering (WiSCE) tool,** which is built and maintained in xWiki (a wiki content tool for teams to collaborate and share knowledge efficiently). WiSCE provides guidance and structure for capturing, maintaining and refining functional (user) requirements with the design rationale, in addition to providing [[a library of validated team and interaction design patterns>>tdplibrary:Main.WebHome]]. 
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3 3  The SCE methodology entails an iterative incremental research and development (R&D) process of human-agent systems with an explicit description of the design rationale. The methodology distinguishes three main components, each providing specific R&D outcomes (see Figure):
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14 14  For agile R&D, SCE defines the **Minimal Viable Product (MVP)** as a coherent and concise set of (interim) SCE-outcomes, i.e. a coherent set of milestones that lead to the envisioned prototype or simulation.
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16 -WiSCE is the successor to the Socio-Cognitive Engineering Tool (SCET) that was hosted on Atlassian Confluence. WiSCE provides **design rationale** templates and **links** design concepts to each other (see the [[SCE Guide>>url:https://confluence.ewi.tudelft.nl/display/SG]]). The top menu of WiSCE shows the items of the main menu (i.e., the "boxes" of the Figure and reference items). General information about the Socio-Cognitive Engineering methodology can be found at [[http:~~/~~/scetool.ewi.tudelft.nl/;>>url:https://confluence.ewi.tudelft.nl/pages/removepage.action?pageId=59539816]] an example application is provided by Neerincx et al. [[^^[1] ^^>>url:https://confluence.ewi.tudelft.nl/display/SE/SCE+Example+Home#cite-summary-1-1]]([[https:~~/~~/doi.org/10.3389/frobt.2019.00118>>url:https://doi.org/10.3389/frobt.2019.00118]]).
16 +This wiki-environment is called the **Wiki Socio-Cognitive Engineering (WiSCE) tool, **and aims** **aimed to support the process as summarized above. WiSCE is the successor to the Socio-Cognitive Engineering Tool (SCET) that was hosted on Atlassian Confluence. WiSCE provides **design rationale** templates and **links** design concepts to each other (see the [[SCE Guide>>url:https://confluence.ewi.tudelft.nl/display/SG]]). The top menu of WiSCE shows the items of the main menu (i.e., the "boxes" of the Figure and reference items). General information about the Socio-Cognitive Engineering methodology can be found at [[http:~~/~~/scetool.ewi.tudelft.nl/;>>url:https://confluence.ewi.tudelft.nl/pages/removepage.action?pageId=59539816]] an example application is provided by Neerincx et al. [[^^[1] ^^>>url:https://confluence.ewi.tudelft.nl/display/SE/SCE+Example+Home#cite-summary-1-1]]([[https:~~/~~/doi.org/10.3389/frobt.2019.00118>>url:https://doi.org/10.3389/frobt.2019.00118]]).
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18 18  === References ===
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21 21  |1.|[[1 >>url:https://confluence.ewi.tudelft.nl/display/SE/SCE+Example+Home#cite-1-1]](((
22 -M. A. Neerincx et al., “Socio-Cognitive Engineering of a Robotic Partner for Child’s Diabetes Self-Management,” Frontiers in Robotics and AI, vol. 6, 2019, [[https:~~/~~/doi.org/10.3389/frobt.2019.00118>>url:https://doi.org/10.3389/frobt.2019.00118]].
22 +M. A. Neerincx et al., “Socio-Cognitive Engineering of a Robotic Partner for Child’s Diabetes Self-Management,” Frontiers in Robotics and AI, vol. 6, 2019, doi: 10.3389/frobt.2019.00118.
23 23  )))