The Wise Old Owl and Obvious Lessons for UX Researchers
Introduction User Experience (UX) research is a field that thrives on deep insights, empathy, and meticulous observation. Drawing parallels between the characteristics of a wise old owl and the essential skills of a UX researcher can offer unique perspectives and practical lessons for anyone involved in
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AI-Enhanced UX Research: Unveiling User Insights through NLP
As UX professionals continue to explore wider applications of AI in user experience research and design, Natural Language Processing (NLP), a specialized domain of AI, emerges as a key area of interest. In an article published in 2021 and authored by Rahman, Nwokeji, et al, an
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Mitigating Cognitive Biases in UX Research: The Role of Generative AI
Contemporary organizations invest in user experience research (UXR) to derive objective insights that truly reflect user needs, preferences, and behaviors. These insights are critical inputs to product design strategies, ensuring that products and services meet user needs and deliver value to the organization. Although the duties
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Can Generative AI Be the Antidote to Biased User Research?
In recent times, there appears to be increasing interest in the use of generative A.I. in user experience research and design (UXD/R). Many use cases have been proposed by influential UXers. But one potential use case that is often neglected is detecting UXR bias. User experience research
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Understanding Large Language Models, Generative AI, and Their Applications in UX Research
Large Language models (LLMs) are multi-layered neural network or deep learning model pretrained with large corpus of data (IBM.com). Typically, very large text corpus (e.g., 100 trillion words) are sources from the internet, wikis, journals, etc., see Figure 1. A typical LLM consist of trillions of
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