2.7 KiB
Research Notes
Literature Review
Org Mode Studies
"Org Mode as Knowledge Management System" paper
Abstract
This paper explores the use of org-mode for personal knowledge management.
Key Findings
- Structured text improves information retrieval
- Hierarchical organization aids comprehension
- Plain text format ensures longevity
Methodology
The study involved 50 participants using org-mode for 6 months.
Data Collection
- Weekly surveys
- Usage analytics
- Interview sessions
Analysis
Statistical analysis revealed significant improvements in:
- Information organization
- Task completion rates
- Note-taking efficiency
"Tree Visualization of Hierarchical Data" paper
Research Question
How do different tree visualization methods affect user comprehension?
Experiments
Experiment 1: Static vs Interactive Trees
Interactive trees showed 23% better comprehension scores.
Experiment 2: Vertical vs Horizontal Layout
No significant difference in comprehension, but users preferred vertical layout.
Data Analysis
User Feedback
Survey Results
Satisfaction Ratings
- Ease of use: 4.2/5
- Visual clarity: 4.5/5
- Performance: 3.8/5
Common Requests
- Better mobile support
- Collaborative editing
- Integration with other tools
Usability Testing
Task Completion Times
File Import
Average: 12 seconds (target: < 10 seconds)
Node Editing
Average: 8 seconds (target: < 5 seconds)
Export Function
Average: 6 seconds (meets target)
Future Research Directions
Enhanced Visualization
3D Tree Representations
Explore whether 3D visualization improves understanding of deep hierarchies.
Color Coding Systems
Investigate optimal color schemes for different node types.
Performance Optimization
Lazy Loading
Implement progressive loading for large org files.
Virtual Scrolling
Handle thousands of nodes without performance degradation.
User Experience
Accessibility Features
- Screen reader compatibility
- Keyboard-only navigation
- High contrast modes
Mobile Interface
Design touch-friendly interaction patterns.
Methodology Notes
Data Collection Protocol
Participant Recruitment
Target users: knowledge workers who use structured documents
Metrics
Quantitative
- Task completion time
- Error rates
- Feature usage frequency
Qualitative
- User satisfaction surveys
- Interview feedback
- Observation notes
Analysis Framework
Statistical Methods
Use ANOVA for comparing group means across different conditions.
Thematic Analysis
Code qualitative feedback to identify common themes and patterns.