Auflistung nach Autor:in "Li, Zhenni"
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- KonferenzbeitragThe Evolving Landscape of UX Research in Industry: How AI is Transforming Manual Practices(Mensch und Computer 2024 - Usability Professionals, 2024) Li, Zhenni; Wang, Yu-Ling; Zhang, Bo; Klein, AndreasArtificial intelligence (AI) significantly impacts research techniques, strategic decision-making, and result quality control. This study explores how current AI tools reshape user experience research (UXR), their limitations, and future concerns. Insights from interviews with UX researchers and a focus group with UX consultants in China reveal AI’s effectiveness in supporting repetitive tasks, automating workflows, and showing impressive contextual synthesis abilities. However, human judgment remains crucial, and satisfaction with AI is moderate due to data security, regulatory challenges, and the complexity of new tools. The experts emphasized balanced AI integration, ensuring it complements human efforts without replacing human expertise. Strategic implementation and continuous evolution are key to maximizing AI’s potential. Experts suggested that future research should focus on developing AI tools tailored to specific needs, fostering innovation and motivation.