Solo Research
Full Semester
Mixed Methods
Eye-tracking
Problem: While the concept of flow is central to positive gaming experiences, game designers lack a comprehensive, evidence-based framework for identifying which design elements most reliably evoke flow. Existing research emphasizes challenge-skill balance but does not fully integrate physiological, behavioral, and experiential data.
Solution: Conducted a mixed-methods study combining eye-tracking, psychophysiological measures, gameplay telemetry, and reflective interviews to identify the design features that most consistently induce flow. Synthesized findings into the CLEAR Framework (Challenge, Latency, Evolution, Audio, Readability) to guide developers in designing for optimal player engagement.
Key Outcomes:
- Achieved perfect score (100/100) for rigorous mixed-methods research design
- Identified measurable "flow profile" across physiological, behavioral, and experiential levels
- Developed CLEAR Framework offering practical design guidance grounded in empirical evidence
- Extended theoretical understanding of flow through progressive mastery and multisensory integration
Role: Principal researcher and author - conducted literature review, research design, experimental setup, data collection, statistical and thematic analysis, framework development
Methods: Mixed-methods research, eye-tracking (iMotion), psychophysiological monitoring (Shimmer3 GSR+), gameplay telemetry, stimulated recall interviews, thematic coding, statistical analysis in JMP
Skills Demonstrated: Research design, HCI theory integration, data triangulation, experimental methods, UX analysis, framework synthesis, advanced statistical analysis
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