Write Post With Name Password Homepage Non Public J Language En
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Human Interface and the Management of Information. Designing Information
This two-volume set LNCS 12184 and 12185 constitutes the refereed proceedings of the Thematic Area on Human Interface and the Management of Information, HIMI 2020, held as part of HCI International 2020 in Copenhagen, Denmark.* HCII 2020 received a total of 6326 submissions, of which 1439 papers and 238 posters were accepted for publication after a careful reviewing process. The 72 papers presented in the two volumes were organized in the following topical sections: Part I: information presentation and visualization; service design and management; and information in VR and AR. Part II: recommender and decision support systems; information, communication, relationality and learning; supporting work, collaboration and creativity; and information in intelligent systems and environments. *The conference was held virtually due to the COVID-19 pandemic.
Data-Driven Personas
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 understandingfunctionalities for anyone needing such insights.