Pohsun Wang
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1
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About
Pohsun Wang is a rising scholar at the intersection of design engineering, human factors, and knowledge management, with a primary focus on Kansei Engineering—a methodology that translates human emotions and subjective impressions into tangible product design parameters. Wang’s most cited work, “Integrating Reliability, Uncertainty, and Subjectivity in Design Knowledge Flow: A CMZ-BENR Augmented Framework for Kansei Engineering” (2025), tackles a critical challenge in the field: the inherent unreliability and subjectivity of human-centered design data. By introducing the CMZ-BENR framework, Wang proposes a novel approach to augment traditional Kansei Engineering, enhancing the flow of design knowledge while accounting for uncertainty and subjective bias. This contribution offers a more robust, data-driven pathway for designers to capture and apply consumer emotional responses, improving product development outcomes. Although early in their career, Wang’s work has already garnered attention, with the framework being cited for its potential to revolutionize how designers integrate reliability into subjective design processes. Wang’s research promises to bridge the gap between rigorous engineering principles and the nuanced, human-centric aspects of design, marking them as a key innovator in the evolving field of affective engineering.
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