Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
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Data-Driven Personas (Paperback)
Loot Price: R2,109
Discovery Miles 21 090
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Data-Driven Personas (Paperback)
Series: Synthesis Lectures on Human-Centered Informatics
Expected to ship within 10 - 15 working days
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Total price: R2,119
Discovery Miles: 21 190
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Data-driven personas are a significant advancement in the fields of
human-centered informatics and human-computer interaction.
Data-driven personas enhance user understanding by combining the
empathy inherent with personas with the rationality inherent in
analytics using computational methods. Via the employment of these
computational methods, the data-driven persona method permits the
use of large-scale user data, which is a novel advancement in
persona creation. A common approach for increasing stakeholder
engagement about audiences, customers, or users, persona creation
remained relatively unchanged for several decades. However, the
availability of digital user data, data science algorithms, and
easy access to analytics platforms provide avenues and
opportunities to enhance personas from often sketchy
representations of user segments to precise, actionable,
interactive decision-making tools-data-driven personas! Using the
data-driven approach, the persona profile can serve as an interface
to a fully functional analytics system that can present user
representation at various levels of information granularity for
more task-aligned user insights. We trace the techniques that have
enabled the development of data-driven personas and then
conceptually frame how one can leverage data-driven personas as
tools for both empathizing with and understanding of users.
Presenting a conceptual framework consisting of (a) persona
benefits, (b) analytics benefits, and (c) decision-making outcomes,
we illustrate applying this framework via practical use cases in
areas of system design, digital marketing, and content creation to
demonstrate the application of data-driven personas in practical
applied situations. We then present an overview of a fully
functional data-driven persona system as an example of multi-level
information aggregation needed for decision making about users. We
demonstrate that data-driven personas systems can provide critical,
empathetic, and user understanding functionalities for anyone
needing such insights.
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