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Enhancing Design Thinking Through Adaptive Environments: A Smart Innovation Space
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence ; Design Thinking (DT) is a powerful methodology for fostering innovation and addressing complex problems. However, DT workshops often rely on static environments that fail to adapt to the specific needs of the Inspire, Ideate, and Implement phases. This study addresses this gap by developing and evaluating a Smart Environment Control System (SECS), an IoTenabled solution that dynamically adjusts environmental conditions—lighting, sound, temperature, and scent—to support engagement, creativity, and collaboration across these phases. The SECS demonstrated significant improvements in workshop outcomes by tailoring the environment to phase-specific requirements. Adaptive lighting was found to enhance creativity and focus, controlled soundscapes improved collaboration, and temperature adjustments boosted participant comfort. Mixed feedback on the integration of scent highlighted the importance of customization for individual preferences. These findings underscore the potential of adaptive environments to elevate DT workshop effectiveness by aligning physical conditions with the dynamic demands of human-centered design processes. This study provides a novel framework for designing adaptive environments in DT and beyond, offering valuable insights to the fields of IoT and innovation spaces design, highlighting the relevance of phase-specific environmental interventions, an underexplored area in the literature. Moreover, it lays the foundation for broader applications in education, office design, and collaboration spaces. The integration of IoT-enabled adaptability into DT environments not only enhances the methodology’s outcomes but also reimagines the role of space in fostering creativity and innovation.
Enhancing Design Thinking Through Adaptive Environments: A Smart Innovation Space
Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Knowledge Management and Business Intelligence ; Design Thinking (DT) is a powerful methodology for fostering innovation and addressing complex problems. However, DT workshops often rely on static environments that fail to adapt to the specific needs of the Inspire, Ideate, and Implement phases. This study addresses this gap by developing and evaluating a Smart Environment Control System (SECS), an IoTenabled solution that dynamically adjusts environmental conditions—lighting, sound, temperature, and scent—to support engagement, creativity, and collaboration across these phases. The SECS demonstrated significant improvements in workshop outcomes by tailoring the environment to phase-specific requirements. Adaptive lighting was found to enhance creativity and focus, controlled soundscapes improved collaboration, and temperature adjustments boosted participant comfort. Mixed feedback on the integration of scent highlighted the importance of customization for individual preferences. These findings underscore the potential of adaptive environments to elevate DT workshop effectiveness by aligning physical conditions with the dynamic demands of human-centered design processes. This study provides a novel framework for designing adaptive environments in DT and beyond, offering valuable insights to the fields of IoT and innovation spaces design, highlighting the relevance of phase-specific environmental interventions, an underexplored area in the literature. Moreover, it lays the foundation for broader applications in education, office design, and collaboration spaces. The integration of IoT-enabled adaptability into DT environments not only enhances the methodology’s outcomes but also reimagines the role of space in fostering creativity and innovation.
Enhancing Design Thinking Through Adaptive Environments: A Smart Innovation Space
2028-02-13
Theses
Electronic Resource
English
DDC:
720
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