Meeka is built on rigorous academic research exploring how playful systems can drive holistic behavior change. Our work draws from complexity science, persuasive technology design, and ecological philosophy.
Below you'll find our master's thesis, case studies, and theoretical foundations. All publications are available for academic citation and collaboration.
Publications
Persuasive Affordance Design: Applying Complexity Theory to Behavior Change Systems
This thesis explores how complexity theory principles can inform the design of persuasive behavior change systems. Rather than treating habits as linear cause-and-effect sequences, we argue that meaningful change emerges from interactions within complex adaptive systems.
We propose "Persuasive Affordance Design" as a framework that creates environmental conditions conducive to behavior change without manipulation. Drawing on ecological design patterns and biomimicry, we demonstrate how playful engagement (Homo Ludens) can facilitate intrinsic motivation.
The Mindful Meerkats prototype — precursor to Meeka — serves as a case study, implementing holistic attributes (H.BMS.CTP) to address the fragmentation of quantified self applications.
Bottom-Up System Design: Emergence in Behavioral Applications
This case study examines how bottom-up design principles — where complex behavior emerges from simple local interactions — can be applied to digital behavior change interventions. We contrast top-down prescriptive systems (rigid habit tracking) with emergent systems that adapt to user context.
Behavioral Biomimicry: Learning from Meerkat Social Structures
Meerkats exhibit remarkable balance between vigilance and playfulness, independence and community. This case study explores how their social structures — cooperative sentinel behavior, collaborative pup-rearing, balanced risk-taking — can inform the design of holistic wellbeing systems.
Planetary Boundaries for Personal Growth: Recognizing Limits in Optimization Culture
Drawing parallels between ecological Planetary Boundaries and personal wellbeing, this framework argues that endless self-optimization is both unsustainable and counterproductive. We propose a "sufficiency-based" model that celebrates "enough" rather than "more."
Academic Collaboration
Interested in citing this work, collaborating on research, or exploring these concepts further?
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