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Managing flash flood crises with cultural perspectives: A user-centric feature identification study.
Siti Fatimah Abdul Razak1, Sumendra Yogarayan1, Umar Ali Bukar2
1Faculty of Information Science and Technology, Multimedia University, Ayer Keroh, Melaka, Malaysia.
Understanding cultural viewpoints is key to improving flash flood crisis management. This study reveals how cultural biases influence the design of in-vehicle flash flood apps for better preparedness and response.
Area of Science:
- Disaster Management
- Human-Computer Interaction
- Social Science
Background:
- Flash floods cause significant damage, necessitating improved crisis management strategies.
- Traditional approaches focus on technical solutions, often overlooking user-centric cultural factors.
- Grid-Group Cultural Theory offers a framework to understand diverse societal viewpoints.
Purpose of the Study:
- To explore the impact of user-centric cultural viewpoints on flash flood crisis management.
- To identify cultural biases influencing the design of in-vehicle flash flood applications.
- To integrate cultural perspectives into disaster preparedness, response, and recovery.
Main Methods:
- Quantitative analysis of 351 survey responses from adults in flood-prone areas.
- Application of descriptive statistics, exploratory factor analysis, average factor, and rank scoring.
- Utilizing Grid-Group Cultural Theory to analyze cultural biases.
Main Results:
- Distinct cultural biases were identified, affecting user perceptions and preferences for in-vehicle flash flood app features.
- The study uncovered critical user-centric cultural traits relevant to flash flood preparedness and response.
- Analysis revealed how different cultural groups prioritize specific app functionalities.
Conclusions:
- Incorporating diverse cultural perspectives is crucial for effective flash flood management.
- A holistic approach combining cultural insights with technical solutions enhances community resilience.
- Tailored in-vehicle flash flood app features, based on cultural biases, can improve disaster outcomes.
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