Перегляд за автором "Gnatovych, V."

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  • Зображення мініатюри
    Публікація
    Multimodal UX: synchronizing visual, auditory, and haptic design for human centered interfaces
    (ТОВ «Видавництво Ліра-К», 2025) Chebotarova, I.; Gnatovych, V.
    This thesis introduces the User-Centered Sensory Integration Framework (UCSIF) –a design approach that helps UX teams create multimodal experiences aligned with human perception, cognition, and cultural diversity. Synthesizing recent studies and real-world applications, it argues that well-integrated combinations of visual, auditory, and haptic feedback enhance task flow, emotional resonance, and accessibility. Examples from education, mobility, and assistive tech show how designers can harmonize sensory input to support, not overwhelm users.
  • Зображення мініатюри
    Публікація
    Simulating the studio: how designers orchestrate ai across ux and product workflows
    (ТОВ «Видавництво Ліра-К», 2025) Gnatovych, V.
    This article explores the shift in UX and product design from manual execution to AI orchestration. Through a reflexive case study, we examine how solo designers use tools like ChatGPT, Perplexity, and Claude to simulate multidisciplinary studios. Findings show 60% faster creative output alongside challenges in governance and equity. A roles-and- tools framework is presented that positions design orchestration within the broader AI augmentation paradigm, distinct from replacement narratives.
  • Зображення мініатюри
    Публікація
    UX design for trustworthy ai: five principles and product patterns for teams
    (ТОВ «Видавництво Ліра-К», 2025) Gnatovych, V.
    This thesis explores UX design strategies for fostering trust in AI systems through real-world applications across healthcare, finance, and content moderation. It introduces a framework of five trust-enabling principles derived from cross- sector product implementations and academic literature (2018–2025). Designed from a UX and product lens, the framework helps teams operationalize explainability, user control, and system transparency in AI-powered experiences.