Human-centered learning design
Goal-Based Scenarios and Self-Regulated Learning support contextual decision-making while accounting for psychology, cognition, and behavior during disasters.
Practices & Tools
A mobile-first disaster-prevention job aid designed to support essential actions across languages, organizations, and unstable network conditions.
Design and evaluation for disaster and safety education
As natural and human-induced hazards become more frequent, severe, and diverse, disaster and safety education must connect disaster information with decision-making while accounting for psychology, cognition, and behavior. This page explores how information technologies and systems, including AI, extended reality, and mobile tools, can support the design, practice, and evaluation of simulated experiences, evacuation drills, and first-response aids for a resilient society.
As natural and human-induced hazards become more frequent, severe, and diverse, disaster and safety education must connect disaster information with decision-making while accounting for psychology, cognition, and behavior. This page explores how information technologies and systems, including AI, extended reality, and mobile tools, can support the design, practice, and evaluation of simulated experiences, evacuation drills, and first-response aids for a resilient society.
Connecting disaster and safety education with field action
The pathway connects psychology, cognition, and behavior with disaster information and information systems to guide the design, practice, and evaluation of ActionCard for a resilient society.
Disaster-information workflow
Information literacy, information ethics, and security guide the connection of disaster information, reflection, and risk management.
Mobile design for resilience
Digital job aids support disaster and safety education and evacuation action in multilingual and connectivity-constrained settings.
ACTIONCARD / INTERFACE PREVIEW
A field tool connecting disaster information with action
This digital job aid is designed based on Cognitive Load Theory and Goal-Based Scenarios (GBS). It is intended for smartphone use and proposes connecting disaster information with context-sensitive decisions and essential actions.
Accessible by designKeyboard operableHigh-contrast interfaceOffline use under evaluationMultilingual support
Open the full ActionCard ↗ActionCard☰
TODAY'S FOCUS
Take one clear action.
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Goal
Confirm the first action for your team.
- Check the local situation
- Confirm who needs support
- Share the next action
Try the interaction on this page, or open the published ActionCard interface. Its current implementation and operation require separate confirmation.
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01 / USAGE
Digital job aid in the moment of need
Accounting for psychology, cognition, and behavior during disasters, the interface aims to reduce working-memory depletion and support initial response and decision-making in diverse teams. These expected effects remain outcomes to evaluate, not verified findings.
Three layers of support
- Identify the relevant hazard and disaster information, then select only the immediate actions.
- Local handling of personal information and organization-specific contacts is proposed for evaluation and requires information-literacy, privacy, and security review.
- Continued use during a network outage and later reconnection are proposed design behaviors to evaluate.
02 / DESIGN CASE
Sustainable disaster prevention in developing countries
The design considers how a disaster and safety education system could support community resilience in international-cooperation settings. It connects risk management and disaster information with locally led decision-making.
Evidence boundary
The international field setting below is a proposed application scenario. Expected effects are outcomes to evaluate, not verified findings. AI-assisted organization of disaster information and XR-supported simulated experiences are possible means of supplementing evacuation drills, not assumed requirements.
The international field setting below is a proposed application scenario. Expected effects are outcomes to evaluate, not verified findings. AI-assisted organization of disaster information and XR-supported simulated experiences are possible means of supplementing evacuation drills, not assumed requirements.
Proposed application in an international field setting
In developing areas prone to cyclones and earthquakes, paper manuals may deteriorate or be lost. The PWA concept allows community leaders to save the app on smartphones and review evacuation guidance and initial responses in multiple languages even offline.
Expected effects to evaluate
- Greater community ownership of disaster prevention and resilience.
- Fewer decision errors under extreme conditions.
- Less dependence on knowledge held by only one person.
03 / OPERATION
DIY customization and After Action Review
The concept extends beyond viewing instructions. Local personnel customize rules, and After Action Review (AAR) data from simulated experiences or evacuation drills informs the next risk-management cycle.
DIY customizationSaving emergency contacts, SMS destinations, and department rules in browser LocalStorage for use at the next offline start is an operational candidate proposed for evaluation. Implementation requires information-ethics, privacy, and security review.
AAR and GAS integrationA proposed operational option would use Google Apps Script to aggregate drill data after connectivity returns. Its data handling and use in reflection on psychology, cognition, behavior, and decision-making require evaluation.
Plan / DoInstall ActionCard and configure local disaster information and evacuation rules.
Check / ActionRun drills, review AAR data, and improve procedures, scenarios, and disaster and safety education.
Five-step implementation process
Step 1. Consultation & Needs Assessment
Discuss field risks, current manuals, disaster information, target languages, and user groups.
Discuss field risks, current manuals, disaster information, target languages, and user groups.
Step 2. Issue Analysis
Use the consultation findings and GBS theory to identify bottlenecks in psychology, cognition, behavior, cognitive load, and decision-making.
Use the consultation findings and GBS theory to identify bottlenecks in psychology, cognition, behavior, cognitive load, and decision-making.
Step 3. System Design & Proposal
Design a multilingual PWA prototype, define the DIY and AAR data scope, and assess whether AI or XR is needed and appropriate.
Design a multilingual PWA prototype, define the DIY and AAR data scope, and assess whether AI or XR is needed and appropriate.
Step 4. Implementation & Drill
Install the tool, use it in simulated experiences or evacuation drills, and verify offline operation and conditions of use.
Install the tool, use it in simulated experiences or evacuation drills, and verify offline operation and conditions of use.
Step 5. Evaluation & Improvement
Aggregate and analyze AAR data, evaluate expected effects, and return findings to the next risk-management cycle.
Aggregate and analyze AAR data, evaluate expected effects, and return findings to the next risk-management cycle.
COLLABORATION
Discuss a pilot or design review
Consultation is available for disaster and safety education, multilingual job aids, disaster-information-based decision training, and the design and evaluation of possible AI or XR applications.
Go to contact →