The Persona Lifecycle 2006
DOI: 10.1016/b978-012566251-2/50005-8
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Persona Conception and Gestation

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Cited by 28 publications
(42 citation statements)
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“…Empathy mapping provides a complementary view to more traditional customer segmentation methods [11]. Particularly of value is the analysis of the gaps between see/hear and do/say as this provides deeper understandings into the behaviours of the persona that can later be applied in the creation of the value proposition.…”
Section: Identification Of the Users Needs Through Persona Analysis Amentioning
confidence: 99%
“…Empathy mapping provides a complementary view to more traditional customer segmentation methods [11]. Particularly of value is the analysis of the gaps between see/hear and do/say as this provides deeper understandings into the behaviours of the persona that can later be applied in the creation of the value proposition.…”
Section: Identification Of the Users Needs Through Persona Analysis Amentioning
confidence: 99%
“…We note that many biases stem from the attention to the typical user in technology design, an ethos that stems from the commercial development of AI. AI development often makes use of personas (a popular product design tool (Pruitt and Adlin 2006)), involving characterizations of typical users. The usage of personas ensures that the technology works well for the typical users, an important criteria for commercial products.…”
Section: Pathways Forwardmentioning
confidence: 99%
“…UCD aims to create solutions that meet the specific needs, characteristics, preferences, and tasks of the intended users [17,19]. Systems developed using an iterative design process following UCD principles are easy to use and learn, reach high user acceptance and satisfaction levels, and reduce the number of user errors [17,19,20]. Most UCD methods in health care involve service users and service providers in the different stages of the development process [19][20][21], and involving health care professionals (HCPs) in the development of such solutions may have a positive impact on their perceived reliability [22,23].…”
Section: Developing Digital Health Toolsmentioning
confidence: 99%