Understanding User Experience: Exploration of Various Definitions Using Natural Language Process
摘要
Understanding the experience of products and users are critical aspect in design science. In daily life, individuals interact with various physical or digital interfaces. However, the concept of User Experience (UX) often remains ambiguous for designers, who struggle to differentiate between empathy, usability, and interaction. This study aims to clarify the definition of UX by identifying key features related to outcome, novelty, and value across multiple existing definitions. Sixteen commonly cited definitions of UX were analyzed using natural language processing (NLP) with cosine similarity to determine the prevalence of specific features. These definitions were selected based on the frequency of three feature categories: outcome (observable, satisfaction, emotion, and engagement), novelty (uniqueness, freshness, innovation, and adaptability), and value (task efficiency, task effectiveness, ethics, and accessibility). For the outcome-related features, the cosine similarity for “observable” was 0.24 (Definition 6), “satisfaction” was 0.47 (Definition 9), “emotion” was 0.32 (Definition 15), and “engagement” was 0.38 (Definition 12). In terms of novelty, the cosine similarity for “uniqueness” was 0.25 (Definition 6), “freshness” was 0.34 (Definition 9), “innovation” was 0.41 (Definition 9), and “adaptability” was 0.38 (Definition 12). Regarding value features, the cosine similarity for “task efficiency” was 0.48 (Definition 12), “task effectiveness” was 0.42 (Definition 12), “ethics” was 0.28 (Definition 6), and “accessibility” was 0.39 (Definition 9). Following this analysis, a brainstorming session was conducted with design students (n = 5) to gather their perspectives on these definitions and compare them to a newly developed UX definition. The results suggest that design students had an unclear understanding of UX and its core meaning in the context of product design.