Data-Driven Personas

نویسندگان

چکیده

Data-driven personas are a significant advancement in the fields of human-centered informatics and human-computer interaction. enhance user understanding by combining empathy inherent with rationality analytics using computational methods. Via employment these methods, data-driven persona method permits use large-scale data, which is novel creation. A common approach for increasing stakeholder engagement about audiences, customers, or users, creation remained relatively unchanged several decades. However, availability digital data science algorithms, easy access to platforms provide avenues opportunities from often sketchy representations segments precise, actionable, interactive decision-making tools—data-driven personas! Using approach, profile can serve as an interface fully functional system that present representation at various levels information granularity more task-aligned insights. We trace techniques have enabled development then conceptually frame how one leverage tools both empathizing users. Presenting conceptual framework consisting (a) benefits, (b) (c) outcomes, we illustrate applying this via practical cases areas design, marketing, content demonstrate application applied situations. overview example multi-level aggregation needed decision making systems critical, empathetic, functionalities anyone needing such

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ژورنال

عنوان ژورنال: Synthesis Lectures on Human-centered Informatics

سال: 2021

ISSN: ['1946-7680', '1946-7699']

DOI: https://doi.org/10.2200/s01072ed1v01y202101hci048