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https://dx.doi.org/10.18420/mu...
Other literature type . 2017
Data sources: Datacite
https://dx.doi.org/10.48550/ar...
Article . 2019
License: CC BY NC SA
Data sources: Datacite
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Positive Personas: Integrating Well-being Determinants into Personas

Authors: Jan M. Pawlowski; Stefan Geisler; Irawan Nurhas;

Positive Personas: Integrating Well-being Determinants into Personas

Abstract

System design for well-being needs an appropriate tool to help designers to determine relevant requirements that can help human well-being to flourish. Personas come as a simple yet powerful tool in the early development stage of the user interface design. Considering well-being determinants in the early design process provide benefits for both the user and the development team. Therefore, in this short paper, we performed a literature study to provide a conceptual model of well-being in personas and propose positive design interventions in the personas creation process.

4 pages, conference MuC 2017, Regensburg

Keywords

FOS: Computer and information sciences, H.5.2, design for well-being, well-being, Computer Science - Human-Computer Interaction, positive design, personas, positive computing, Human-Computer Interaction (cs.HC)

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green