Abstract
Design thinking has become a widely adopted approach to innovation, yet its ideation phase frequently depends on intuition and loosely defined heuristics, particularly when creating services intended to shape user behavior over time. To address this gap, this study operational izes the Fogg Behavior Model (FBM)—which conceptualizes behavior as the convergence of Motivation, Ability, and Prompt—into a set of actionable design taxonomies. We conducted a systematic qualitative analysis of 28 widely used digital applications across health, productivity, and finance domains to identify recurring strategies demonstrating how FBM’s constructs are applied in practice. The resulting framework comprises three taxonomies that specify concrete patterns of motivational strategies, ability dynamics, and prompting mechanisms. Building on these insights, we developed a structured ideation framework that guides designers in applying the framework to generate and refine behavior ally informed concepts during early-stage design. In doing so, this work advances the integration of behavioral theory into design thinking practice, providing a replicable approach to bridge the gap between theoretical models and practical design decision-making.
Keywords
Fogg’s Behavior Model; Design Ideation Framework; Taxonomy; Design Thinking
DOI
https://doi.org/10.21606/iasdr.2025.1154
Citation
Kim, Y.S., Kwon, H., Jun, J., Kim, N.,and Lee, S.(2025) Bridging Behavioral Theory and Design Practice: A Taxonomy-Driven Framework for Design Ideation Grounded in the Fogg Behavior Model, in Chang, C.-Y., and Hsu, Y. (eds.), IASDR 2025: Design Next, 02-05 December, Taiwan. https://doi.org/10.21606/iasdr.2025.1154
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Conference Track
Track 5 - Design Thinking
Bridging Behavioral Theory and Design Practice: A Taxonomy-Driven Framework for Design Ideation Grounded in the Fogg Behavior Model
Design thinking has become a widely adopted approach to innovation, yet its ideation phase frequently depends on intuition and loosely defined heuristics, particularly when creating services intended to shape user behavior over time. To address this gap, this study operational izes the Fogg Behavior Model (FBM)—which conceptualizes behavior as the convergence of Motivation, Ability, and Prompt—into a set of actionable design taxonomies. We conducted a systematic qualitative analysis of 28 widely used digital applications across health, productivity, and finance domains to identify recurring strategies demonstrating how FBM’s constructs are applied in practice. The resulting framework comprises three taxonomies that specify concrete patterns of motivational strategies, ability dynamics, and prompting mechanisms. Building on these insights, we developed a structured ideation framework that guides designers in applying the framework to generate and refine behavior ally informed concepts during early-stage design. In doing so, this work advances the integration of behavioral theory into design thinking practice, providing a replicable approach to bridge the gap between theoretical models and practical design decision-making.