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Home arrow Engineering arrow Cognitive Systems Engineering: An Integrative Living Laboratory Framework

Cognitive Systems Engineering: An Integrative Living Laboratory Framework


IntroductionORIENTATIONMOTIVATION FOR THE BOOKPreludeEarly Work in Ecological Settings and Cognitive Design PracticeCollaborative and Human-Autonomous SystemsThe AKADAM InitiativeDeveloping Team Cognition and Collaborative SystemsMoving Forward with Sociocognitive Simulations and TechnologyThe MINDS Group as It Has Evolved at The Pennsylvania State UniversityAUDIENCE FOR THE BOOKWhy the Book Is NecessaryTopics and Coverage of the BookA Progression of Human Factors/Cognitive System TermsTHE RELEVANCE OF THE LIVING LABORATORY FRAMEWORKBasic PhilosophyEcological in NatureExperience Matters in Fields of PracticeElements of the Living Laboratory FrameworkKnowledge as Design as Living EcosystemSTRUCTURE OF THE BOOKCONCLUDING REMARKSREFERENCESSection II The Living Laboratory Learning in ActionThe Living Laboratory in the Context of Educational ResearchPURPOSETHEORETICAL PERSPECTIVESMIDWAY BREATHERTHE LIVING LABORATORY EXAMPLE 1: DEVELOPING A WEB-BASED COGNITIVE SUPPORT SYSTEMDescription of the SystemIterative Design Process in ContextConceptualizationDeveloping, Modifying, and Validating the SystemRefining and Expanding the SystemInquiry Methods and Research ToolsThe Researchers' RolesLearner Contribution to the SystemTHE LIVING LABORATORY EXAMPLE 2: STUDENTS-AS-DESIGNERS LEARNING ENVIRONMENTDescription of the Learning Environment: Students-as-DesignersIterative Design of the Students-as-Designers Learning Environment ConceptualizationEthnography Study 1: Conceptualization and InitiationEthnography Study 2: Modification and RedesignInquiry Methods and Research ToolsThe Researchers' RolesWorking with StakeholdersCONCLUSIONREVIEW QUESTIONSREFERENCESDistributed Teams in the Living Laboratory. Applications of Transactive MemoryTransactive MemoryAPPLICATIONS OF THE LIVING LABORATORYMIDWAY BREATHERPRACTICE TO THEORY: TRANSACTIVE MEMORY IN CYBER OPERATIONSScaled-World Simulation: teamNETSReconfigurable Prototype: Distributed Team CognitionExploring Transactive Memory in teamNETSValue of the Living LaboratoryFUTURE CONSIDERATIONSCONCLUSIONREVIEW QUESTIONSREFERENCESDigital Architectures for Distributed Learning and CollaborationCOLLABORATING ON GROUP PROGRAMMING ASSIGNMENTSMIDWAY BREATHERCAN FORKING BE APPLIED TO SHARING IDEAS?CONCLUSIONREVIEW QUESTIONSREFERENCESA Cognitive-Systems Approach to Understanding Natural Gas Exploration Supply Chains A Purview and Research AgendaBACKGROUND: NATURAL GAS FIELD OF PRACTICEThe CCRINGSS InitiativePREMISEAPPROACHGeneral ProgressionsMIDWAY BREATHER-STOP AND REFLECTELEMENT #1: ETHNOGRAPHIC FIELDWORKResearch OverviewSpecific Research Agenda ItemsOpportunities to Move Research Forward (via CCRINGSS or Otherwise)ELEMENT #2: KNOWLEDGE ELICITATIONSpecific Challenges/Research Agenda ItemsOpportunities to Move Research ForwardELEMENT #3: THEORETICAL FOUNDATIONSSpecific Challenges/Research Agenda ItemsOpportunities to Move Research ForwardELEMENT #4: SCALED-WORLD SIMULATIONSpecific Challenges/Research Agenda ItemsOpportunities to Move Research ForwardELEMENT #5: DESIGN PROTOTYPING AND INNOVATIONSSpecific Challenges/Research Agenda ItemsOpportunities to Move Research ForwardCONCLUSIONREVIEW QUESTIONSREFERENCESSection III Theoretical Perspectives in Cognitive-Collaborative SystemsMethodological Techniques and Approaches to Developing Empirical Insights of Cognition during Collaborative Information SeekingTHE NEED FOR UNDERSTANDING COGNITION DURING COLLABORATIVE INFORMATION SEEKINGWHAT IS COLLABORATIVE INFORMATION SEEKING? A REVIEW OF THE LITERATUREConceptualizations and DefinitionsHow Has CIS Been Studied? Empirical Results of CISSocial and Technical Aspects of CIS: Cognition Is MissingCOGNITIVE SYSTEMS ENGINEERING PERSPECTIVES AND METHODS FOR STUDYING THE COGNITIVE ASPECTS OF COLLABORATIVE INFORMATION SEEKINGMIDWAY BREATHER-STOP AND REFLECTKnowledge ElicitationHow Knowledge Elicitation Methods Can Be Applied to CISObservations and InterviewsProcess TracingConceptual TechniquesA Case Study of Knowledge Elicitation and Collaborative Information SeekingCognitive Task Analysis ApproachHow Can a Cognitive Task Analysis Approach Be Applied to Collaborative Information Seeking?A Case Study of the Cognitive Task Analysis Approach and Collaborative Information SeekingThe Living Lab ApproachHow Can the Living Lab Approach Be Applied to Collaborative Information Seeking?A Case Study of the Living Lab Approach and Collaborative Information SeekingCONCLUSIONREVIEW QUESTIONSREFERENCESA Case Study of Crisis Management Readiness in Cross-National Contexts. Applying Team Cognition Theories to Crisis Response TeamsCOGNITIVE SYSTEMS ENGINEERING IN CRISES AND THE CRISIS MANAGEMENT ENVIRONMENTWhat Are Crises?Cognitive Systems Engineering in Crisis ManagementHOW IS IT IMPACTED BY CULTURE?The Crisis Management ContextCrisis CycleTeams in Crisis ManagementTeam CognitionChallenges Teams Face in Crisis Management ActivitiesCommon Operational PictureTeam Situation AwarenessInformation SharingHidden KnowledgeCultural CompositionMIDWAY BREATHER-STOP AND REFLECTA CASE STUDY EXAMINING TEAM COGNITION AND CULTURENeoCITIES SimulationManchester University Case-Study ContextDiscussionPenn State Case Study ContextREVIEW QUESTIONSREFERENCESEmotion, Stress, and Collaborative SystemsTHEORETICAL PERSPECTIVESEmotion, Stress, and Individual CognitionEmotion, Stress, and Team CognitionMIDWAY BREATHERRESEARCH APPROACHESManipulations and MeasuresTeam-Level MeasuresApplications of Team-Level Emotion and Stress ResearchCONCLUSIONREVIEW QUESTIONSDISCUSSION AND FUTURE WORKS TOPICSADDITIONAL ACTIVITIES AND EXPLORATIONSREFERENCESSection IV Models and Measures of Cognitive WorkMeasuring Team Cognition in Collaborative Systems Integrative and Interdisciplinary PerspectivesTeam CognitionTemporality and Team CognitionStorytelling and ReflexivityEXPERIMENTAL METHODOLOGYThe NeoCITIES Team SimulationRationale for Selecting NeoCITIESScenario Development in NeoCITIESMIDWAY BREATHER-STOP AND REFLECTDependent MeasuresTeam Mental ModelsINDEPENDENT VARIABLE MANIPULATIONSStory Content: Collaboration and TimingStory Context: Metaphorical versus AnalogGuided Team ReflexivityGuided Individual ReflexivitySUMMARY OF KEY FINDINGS AND ACROSS THE FOUR EXPERIMENTSResearch Objective 1: To Understand the Differential Effects of Multiple Types of Team CognitionResearch Objective 2: To Infuse a Temporal Focus into the Study of Team CognitionResearch Objective 3: To Investigate the Effectiveness of Interventions Designed to Improve Team CognitionLESSONS LEARNEDThe Value of an Integrative PerspectiveThe Value of an Interdisciplinary PerspectiveCONCLUSIONREVIEW QUESTIONSREFERENCESModeling Cognition and Collaborative WorkOverview of Cognition ModelingMIDWAY BREATHERLIVING LAB-GENERATED FCMs IN PRACTICEApplication #1: FCM to Study Emergency Crisis-Management TeamsApplication #2: The SA-FCM Modeling ApproachSA-FCM for Decision-Aiding SupportSA-FCM for Predictive AssessmentsSA-FCM for Measuring Cognitive ReadinessA Conceptual Model of the SA-FCM for Data FusionCONCLUSIONREVIEW QUESTIONSREFERENCESCognitive Architectures and Psycho-Physiological MeasuresCOGNITIVE ARCHITECTURESCognitive Architectures and the Driving StoryPSYCHO-PHYSIOLOGICAL MEASURES AND COGNITIVE ARCHITECTURESElectroencephalographyFunctional Magnetic Resonance ImagingElectrodermal ActivityAN EXAMPLE OF A STRESSED SERIAL SUBTRACTION MODELDISCUSSIONSUMMARYREVIEW QUESTIONSREFERENCESSection V Scaled-World Simulationsating Team Cognition How the NeoCITIES Simulation Can Address Key Research NeedsThe NeoCITIES Simulation OverviewEvolutionSimulation StructureInterfaceGameplayNeoCITIES as a Computer Simulation for Team ResearchMIDWAY BREATHERNeoCITIES as a Test Bed for Team Cognition ResearchTEAM MENTAL MODELSTEAM SITUATION AWARENESSTEAM INFORMATION SHARINGCONCLUSIONREVIEW QUESTIONSREFERENCESScaled-World Simulations in Attention Allocation ResearchTHE DUAL-TASK ATTENTION RESEARCH TESTBEDIncorporation of Dual-Task Attention Research Testbed in CybersecurityThe Dual-Task Attention Research Testbed Paradigm in the Living Laboratory FrameworkMIDWAY BREATHERTHE AIDL SIMULATOR FOR FINANCIAL EVENT MONITORINGTask LoadPredictabilityInterruptionDISCUSSIONREVIEW QUESTIONSREFERENCESHow Multiplayer Video Games Can Help Prepare Individuals for Some of the World's Most Stressful JobsOBSTACLES TO TEAM PERFORMANCE IN CRISIS ENVIRONMENTSPrior to the RaidDuring the RaidAfter the RaidSYNERGIES BETWEEN WoW RAIDS AND NeoCITIESGROUP SUPPORT SYSTEMSRAIDING EXAMPLE: C'THUNSIMILARITIES AND DIFFERENCES BETWEEN RAID AND CRISIS MANAGEMENT ENVIRONMENTSAPPLICABILITY IN THE TWENTY-FIRST CENTURY WORKPLACECONCLUSIONREVIEW QUESTIONSREFERENCESSection VI Knowledge Capture, Design, Integration, and Practicee Cognition and Participatory DesignLIVING LAB FRAMEWORKPOLICE COGNITIONLITERATURE REVIEWMIDWAY BREATHERMETHODOLOGYPolice DepartmentsStage I: EthnographyStage II: Knowledge ElicitationStage III: Scaled WorldsANALYSIS AND RESULTSDISCUSSIONREVIEW QUESTIONSREFERENCESIntermodal InterfacesAN INTRODUCTION TO INTERMODAL INTERFACESDefinition and OverviewThe Case against Straight DigitalizationRelationship with Naturalistic Decision Making and Situational AwarenessApplication DomainsDesign ChallengesEXPLORATION BY EXPERIMENTExperiment OverviewInterface Requirements and Experimental HypothesesPrimary: Quick and Accurate Collection of Real-Time Intermodal DataSecondary: Development and Maintenance of Situational AwarenessFindingsSUMMARYREFERENCESing Theory and Practice through the Living LaboratoryLIVING LABORATORY AND USER EXPERIENCEIdentifying the ProblemFrom Knowledge Elicitation to Sense-MakingMitigating Risk through PersonasBuilding the Product VisionMock-Ups and PrototypesMIDWAY BREATHER: STOP AND REFLECTLIVING LABORATORY AND AGILE DEVELOPMENTSprint PlanningDevelopmentSprint ReviewEvaluating User FeedbackCONCLUSIONREVIEW QUESTIONSREFERENCESIncorporating Human Systems Engineering in Advanced Military Technology DevelopmentHUMAN SYSTEMS ENGINEERING FOR TECHNOLOGY DEVELOPMENTMIDWAY BREATHEREMBEDDING HUMAN SYSTEMS WITHIN SYSTEMS ENGINEERINGOrigin of IDEASWhat Is IDEAS?Needs AnalysisRequirements GenerationDesign and EngineeringInterface ReviewImplementationEvaluationREAL-WORLD APPLICATION OF IDEASA Challenging ExperienceSuccessful ApplicationUsing IDEAS with Software Development MethodsCONCLUSIONREVIEW QUESTIONSREFERENCESSection VII The Future of the Living Laboratory Future of the Integrated Living Laboratory Framework Innovating Systems for People's UsePERSPECTIVEProblem-Centered ChallengesTechnological AdvancementsPractical ConsiderationsCONCLUDING THOUGHTSREFERENCES
 
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