Elicitations and persona development

This paper presents a user-centered approach for the design/re-design of a mobile application for chronic pain management, with a focus on chronic low back pain, sometimes referred to as "invisible disability". Within the framework of a multidisciplinary project involving physicians, patients and computer scientists, the work presented here describes firstly an identification and representation process of the needs/expectations of the users of such an application (patients/physicians), based on a data-driven persona development method and, secondly, an evaluation process of the user experience (UX) of the current version of the application, using among others usability tests. The aim of the approach is to establish (re-)design guidelines in order to improve this kind of application.

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‘I’m not a tech person’

Pragmatics and Society ◽

10.1075/ps.20049.lee ◽

2021 ◽

Vol 12 (5) ◽

pp. 805-827

Author(s):

Carmen Lee ◽

Dennis Chau

Keyword(s):

Social Media ◽

Hong Kong ◽

Language Choice ◽

Professional Identities ◽

Public And Private ◽

Workplace Discourse ◽

Persona Development ◽

Media Choices ◽

The Way

Abstract This study contributes to existing research on polymedia by probing into what we call academic polymedia, investigating the constant availability of interpersonal, professional, and social media for constructing scholarly personas. Drawing on the technobiographical narratives of a group of Hong Kong bilingual academics, we analyze academics’ perceptions of their media choices as situated in their professional polymedia environments. In particular, we examine how choices between public and private media shape academic persona development, and the way polymedia engagement impacts the participants’ language choice for academic purposes. This study sheds light on existing research on workplace discourse and identity in sociolinguistics by offering a polymedia dimension that draws on people’s media ideology in developing their professional identities.

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Data-driven persona development

Proceeding of the twenty-sixth annual CHI conference on Human factors in computing systems - CHI '08 ◽

10.1145/1357054.1357292 ◽

2008 ◽

Cited By ~ 54

Author(s):

Jennifer (Jen) McGinn ◽

Nalini Kotamraju

Keyword(s):

Data Driven ◽

Persona Development

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Personas Design for Conversational Systems in Education

Informatics ◽

10.3390/informatics6040046 ◽

2019 ◽

Vol 6 (4) ◽

pp. 46 ◽

Cited By ~ 2

Author(s):

Fatima Ali Amer Jid Almahri ◽

David Bell ◽

Mahir Arzoky

Keyword(s):

Machine Learning ◽

Student Engagement ◽

Interaction Analysis ◽

Design Science ◽

Science Research ◽

Data Driven ◽

Gap Statistic ◽

Optimal Value ◽

Persona Development ◽

Future Work

This research aims to explore how to enhance student engagement in higher education institutions (HEIs) while using a novel conversational system (chatbots). The principal research methodology for this study is design science research (DSR), which is executed in three iterations: personas elicitation, a survey and development of student engagement factor models (SEFMs), and chatbot interaction analysis. This paper focuses on the first iteration, personas elicitation, which proposes a data-driven persona development method (DDPDM) that utilises machine learning, specifically the K-means clustering technique. Data analysis is conducted using two datasets. Three methods are used to find the K-values: the elbow, gap statistic, and silhouette methods. Subsequently, the silhouette coefficient is used to find the optimal value of K. Eight personas are produced from the two data analyses. The pragmatic findings from this study make two contributions to the current literature. Firstly, the proposed DDPDM uses machine learning, specifically K-means clustering, to build data-driven personas. Secondly, the persona template is designed for university students, which supports the construction of data-driven personas. Future work will cover the second and third iterations. It will cover building SEFMs, building tailored interaction models for these personas and then evaluating them using chatbot technology.

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Comparing Semi-Automated Clustering Methods for Persona Development

IEEE Transactions on Software Engineering ◽

10.1109/tse.2011.60 ◽

2012 ◽

Vol 38 (3) ◽

pp. 537-546 ◽

Cited By ~ 12

Author(s):

Jonalan Brickey ◽

Steven Walczak ◽

Tony Burgess

Keyword(s):

Clustering Methods ◽

Persona Development

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Development of Personas to Communicate Narrative-Based Information About the HPV Vaccine on Twitter

Frontiers in Digital Health ◽

10.3389/fdgth.2021.682639 ◽

2021 ◽

Vol 3 ◽

Author(s):

Philip M. Massey ◽

Shawn C. Chiang ◽

Meredith Rose ◽

Regan M. Murray ◽

Madeline Rockett ◽

...

Keyword(s):

Social Media ◽

Health Information ◽

Hpv Vaccine ◽

Design Thinking ◽

Digital Health ◽

Hpv Vaccination ◽

Real Life ◽

Data Sources ◽

Vaccine Hesitancy ◽

Persona Development

Introduction: Personas are based on real-life typologies of people that can be used to create characters and messages to communicate important health information through relatable narrative storylines. Persona development is data-driven and can involve multiple phases of formative research and evaluation; however, personas are largely underutilized in digital health research. The purpose of this study was to create and document persona development to deliver narrative-focused health education for parents on Twitter with the goal of increasing uptake of HPV vaccination among adolescents.Methods: Leveraging data from a mixed-method study conducted in the U.S. with a diverse population of parents with adolescents ages 9–14, we used both qualitative and quantitative data (e.g., the National Immunization Survey—Teen, focus groups, and social media) to create personas. These data sources were used to identify and develop key characteristics for personas to reflect a range of parents and their diverse understandings and experiences related to HPV vaccination. A parent advisory board provided insight and helped refine persona development.Results: Four personas emerged and were characterized as the (1) Informed Altruist, (2) Real Talker, (3) Information Gatherer, and (4) Supporter. Characteristics differed across personas and provided insights into targeted narrative strategies. Described attributes included demographics, psychographics, communication style, vaccine goals and aspirations, vaccine challenges and frustrations, and vaccine hesitancy.Discussion: This work demonstrates how multiple data sources can be used to create personas to deliver social media messages that can address the diverse preferences and needs of parents for HPV vaccine information. With increasing usage of social media for health information among parents, it is important for researchers to consider marketing and design thinking to create health communication messages that resonate with audiences.

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