INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
The main goal of writing this review paper is to understand how Data Science methodologies can be used to design more human-centric and functional digital products.
This review also examines the challenges and drawbacks of using Data Science in UX. These include issues around data privacy and ethical considerations. Additionally, the review highlights the need for interdisciplinary collaboration between data scientists and UX designers as both professionals focus on creating solutions for their target audience based on research. The only difference is data. Overall, this literature review suggests that data science can play a crucial role in improving UX design by providing insights into user behavior and preferences. However, it also emphasizes the need for careful consideration of ethical and practical concerns in the implementation of data-driven UX design practices.
Keywords:
User Experience (UX), Data Science, Human-Computer Interaction (HCI), User Behavior Analysis, Data-Driven Design, UX Research, Data Visualization in UX, Machine Learning for UX UX, Analytics User-Centered Design (UCD), Personalization in UX, A/B Testing, User Testing with Data Science
Cite Article:
"BUILDING BETTER DIGITAL EXPERIENCES USING DATA SCIENCE", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 6, page no.b332-b336, June-2023, Available :http://www.ijnrd.org/papers/IJNRD2306136.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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