The Experts below are selected from a list of 6000 Experts worldwide ranked by ideXlab platform
Bernard J Jansen - One of the best experts on this subject based on the ideXlab platform.
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a literature review of quantitative Persona Creation
Human Factors in Computing Systems, 2020Co-Authors: Joni Salminen, Kathleen W Guan, Soongyo Jung, Shammur Absar Chowdhury, Bernard J JansenAbstract:Quantitative Persona Creation (QPC) has tremendous potential, as HCI researchers and practitioners can leverage user data from online analytics and digital media platforms to better understand their users and customers. However, there is a lack of a systematic overview of the QPC methods and progress made, with no standard methodology or known best practices. To address this gap, we review 49 QPC research articles from 2005 to 2019. Results indicate three stages of QPC research: Emergence, Diversification, and Sophistication. Sharing resources, such as datasets, code, and algorithms, is crucial to achieving the next stage (Maturity). For practitioners, we provide guiding questions for assessing QPC readiness in organizations.
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design issues in automatically generated Persona profiles a qualitative analysis from 38 think aloud transcripts
Conference on Human Information Interaction and Retrieval, 2019Co-Authors: Joni Salminen, Soongyo Jung, Sercan Sengun, Bernard J JansenAbstract:Increased access to data and computational techniques enable innovations in the space of automated customer analytics, for example, automatic Persona generation. Automatic Persona generation is the process of creating data-driven representations from user or customer statistics. Even though automatic Persona generation is technically possible and provides advantages compared to manual Persona Creation regarding the speed and freshness of the Personas, it is not clear (a) what information to include in the Persona profiles and (b) how to display that information. To query into these aspects relating information design of Personas, we conducted a user study with 38 participants. In the findings, we report several challenges relating to the design of automatically generated Persona profiles, including usability issues, perceptual issues, and issues relating to information content. Our research has implications for the information design of data-driven Personas.
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Customer segmentation using online platforms: isolating behavioral and demographic segments for Persona Creation via aggregated user data
Social Network Analysis and Mining, 2018Co-Authors: Haewoon Kwak, Joni Salminen, Soongyo Jung, Bernard J JansenAbstract:We propose a novel approach for isolating customer segments using online customer data for products that are distributed via online social media platforms. We use non-negative matrix factorization to first identify behavioral customer segments and then to identify demographic customer segments. We employ a methodology for linking the two segments to present integrated and holistic customer segments, also known as Personas. Behavioral segments are generated from customer interactions with online content. Demographic segments are generated using the gender, age, and location of these customers. In addition to evaluating our approach, we demonstrate its practicality via a system leveraging these customer segments to automatically generate Personas, which are fictional but accurate representations of each integrated behavioral and demographic segment. Results show that this approach can accurately identify both behavioral and demographical customer segments using actual online customer data from which we can generate Personas representing real groups of people.
Kim Barbour - One of the best experts on this subject based on the ideXlab platform.
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registers of performance negotiating the professional Personal and intimate in online Persona Creation
Media margins and popular culture, 2015Co-Authors: Kim BarbourAbstract:The presentation of a digital self or identity has become increasingly ubiquitous with the widespread use of social and professional networking and media platforms. However, the ways that individuals engage with these platforms and negotiate their performance of self for different audiences of friends, family, fans and followers requires new ways of theorising and studying identity and self-presentation. In this chapter, I contribute to the emerging field of Persona studies by conceptualising three registers of performance: the professional, Personal and intimate.
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finding the edge online Persona Creation in fringe art forms
2014Co-Authors: Kim BarbourAbstract:This study investigates the experience of Persona Creation by eight artists working in fringe art forms. The research demonstrates that for these artists, the online Persona can operate in three registers of performance—professional, Personal, and intimate—and in creating their Personas, participants draw on socio-cultural discourses of artistness.
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finding the edge online Persona Creation by fringe artists
CPIS 2014 : Persona celebrity publics : Proceedings of the Contemporary Publics 2014 International Symposium, 2014Co-Authors: Kim BarbourAbstract:Self-presentation through the Creation of profiles and pages on digitally networked spaces is becoming ever more ubiquitous. In order to develop greater depth of understanding of the place of social media in our self-identification practice, my dissertation investigates the experiences of online Persona Creation by eight artists. Drawing on sociological and cultural studies approaches to understanding identity as performance, I tie current artists’ presentational and representational practices to historically grounded, socio-culturally constructed discourses of ‘artistness’. Through this connection, I argue that the Creation of online Persona has not radically changed notions of what it means to be an artist, or how artistness is represented and understood by audiences of fans or followers, but rather that digital technology has allowed for renegotiation of the boundaries of artistness that still draws from historical understandings of the role and Persona of the artist. This shifting of boundaries, allowing for more inclusivity within the art world, is demonstrated by my focus on ‘fringe’ artists: those whose creative practice places them outside of the traditional art world and its existing structures of representation, distribution and consumption. The eight fringe artists who participated in this study are drawn from street art, performance poetry, craftivism and tattoo. Interpretative Phenomenological Analysis drives the methodological focus on the experiences of the artists. Rather than a consideration of behaviour and habit, or what the artists do, this phenomenological approach allowed me to instead focus on what it is like for the artists to create Persona, what drives particular types of representational practices. Using unstructured interviews, and online listening as an extension of participant observation, the artists’ narratives of experience are expressed through transcript extracts and screenshots: both are necessary to fully explore the nature of online Persona Creation. My analysis of the artists experiences has demonstrated that there are three somewhat distinct registers of performance with which an artist’s Persona can engage: the professional register, where one demonstrates ones proficiency, experience, popularity, and professionalism; the Personal register, where one connects with wider social and political interests and activities; and the intimate register, where one allows the audience in to one’s private world. These three registers occupy the same performance space, but are implicitly or explicitly for different segments of the digitally networked audience of fans, followers, friends and family. The complexity of the performance and reception of these registers is influenced by the shared nature of the performance space – where previously different roles would be performed for different audiences without reference to one another, the networked nature of online social media influences decisions of how much, and when, to share with whom. Interpreted here using themes of strategy|happenstance, specialisation|diversification, visibility|self-protection, self|others and work|play, the professional, Personal and intimate registers of performance enable us to see the consideration and care with which each participant creates their artists Persona. The experiences of performing the self in these three registers, as presented here, provides an insight into the complexities involved in creating online Persona, while also demonstrating that this type of presentation of self is, in itself, no different from the types of role play and performance of self that has arguably always occurred in our physical world. Despite focusing on the role and performance of artistness, this dissertation speaks to the Creation and performance of online Persona more broadly.
Haewoon Kwak - One of the best experts on this subject based on the ideXlab platform.
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Customer segmentation using online platforms: isolating behavioral and demographic segments for Persona Creation via aggregated user data
Social Network Analysis and Mining, 2018Co-Authors: Haewoon Kwak, Joni Salminen, Soongyo Jung, Bernard J JansenAbstract:We propose a novel approach for isolating customer segments using online customer data for products that are distributed via online social media platforms. We use non-negative matrix factorization to first identify behavioral customer segments and then to identify demographic customer segments. We employ a methodology for linking the two segments to present integrated and holistic customer segments, also known as Personas. Behavioral segments are generated from customer interactions with online content. Demographic segments are generated using the gender, age, and location of these customers. In addition to evaluating our approach, we demonstrate its practicality via a system leveraging these customer segments to automatically generate Personas, which are fictional but accurate representations of each integrated behavioral and demographic segment. Results show that this approach can accurately identify both behavioral and demographical customer segments using actual online customer data from which we can generate Personas representing real groups of people.
Joni Salminen - One of the best experts on this subject based on the ideXlab platform.
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a literature review of quantitative Persona Creation
Human Factors in Computing Systems, 2020Co-Authors: Joni Salminen, Kathleen W Guan, Soongyo Jung, Shammur Absar Chowdhury, Bernard J JansenAbstract:Quantitative Persona Creation (QPC) has tremendous potential, as HCI researchers and practitioners can leverage user data from online analytics and digital media platforms to better understand their users and customers. However, there is a lack of a systematic overview of the QPC methods and progress made, with no standard methodology or known best practices. To address this gap, we review 49 QPC research articles from 2005 to 2019. Results indicate three stages of QPC research: Emergence, Diversification, and Sophistication. Sharing resources, such as datasets, code, and algorithms, is crucial to achieving the next stage (Maturity). For practitioners, we provide guiding questions for assessing QPC readiness in organizations.
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design issues in automatically generated Persona profiles a qualitative analysis from 38 think aloud transcripts
Conference on Human Information Interaction and Retrieval, 2019Co-Authors: Joni Salminen, Soongyo Jung, Sercan Sengun, Bernard J JansenAbstract:Increased access to data and computational techniques enable innovations in the space of automated customer analytics, for example, automatic Persona generation. Automatic Persona generation is the process of creating data-driven representations from user or customer statistics. Even though automatic Persona generation is technically possible and provides advantages compared to manual Persona Creation regarding the speed and freshness of the Personas, it is not clear (a) what information to include in the Persona profiles and (b) how to display that information. To query into these aspects relating information design of Personas, we conducted a user study with 38 participants. In the findings, we report several challenges relating to the design of automatically generated Persona profiles, including usability issues, perceptual issues, and issues relating to information content. Our research has implications for the information design of data-driven Personas.
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Customer segmentation using online platforms: isolating behavioral and demographic segments for Persona Creation via aggregated user data
Social Network Analysis and Mining, 2018Co-Authors: Haewoon Kwak, Joni Salminen, Soongyo Jung, Bernard J JansenAbstract:We propose a novel approach for isolating customer segments using online customer data for products that are distributed via online social media platforms. We use non-negative matrix factorization to first identify behavioral customer segments and then to identify demographic customer segments. We employ a methodology for linking the two segments to present integrated and holistic customer segments, also known as Personas. Behavioral segments are generated from customer interactions with online content. Demographic segments are generated using the gender, age, and location of these customers. In addition to evaluating our approach, we demonstrate its practicality via a system leveraging these customer segments to automatically generate Personas, which are fictional but accurate representations of each integrated behavioral and demographic segment. Results show that this approach can accurately identify both behavioral and demographical customer segments using actual online customer data from which we can generate Personas representing real groups of people.
Soongyo Jung - One of the best experts on this subject based on the ideXlab platform.
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a literature review of quantitative Persona Creation
Human Factors in Computing Systems, 2020Co-Authors: Joni Salminen, Kathleen W Guan, Soongyo Jung, Shammur Absar Chowdhury, Bernard J JansenAbstract:Quantitative Persona Creation (QPC) has tremendous potential, as HCI researchers and practitioners can leverage user data from online analytics and digital media platforms to better understand their users and customers. However, there is a lack of a systematic overview of the QPC methods and progress made, with no standard methodology or known best practices. To address this gap, we review 49 QPC research articles from 2005 to 2019. Results indicate three stages of QPC research: Emergence, Diversification, and Sophistication. Sharing resources, such as datasets, code, and algorithms, is crucial to achieving the next stage (Maturity). For practitioners, we provide guiding questions for assessing QPC readiness in organizations.
-
design issues in automatically generated Persona profiles a qualitative analysis from 38 think aloud transcripts
Conference on Human Information Interaction and Retrieval, 2019Co-Authors: Joni Salminen, Soongyo Jung, Sercan Sengun, Bernard J JansenAbstract:Increased access to data and computational techniques enable innovations in the space of automated customer analytics, for example, automatic Persona generation. Automatic Persona generation is the process of creating data-driven representations from user or customer statistics. Even though automatic Persona generation is technically possible and provides advantages compared to manual Persona Creation regarding the speed and freshness of the Personas, it is not clear (a) what information to include in the Persona profiles and (b) how to display that information. To query into these aspects relating information design of Personas, we conducted a user study with 38 participants. In the findings, we report several challenges relating to the design of automatically generated Persona profiles, including usability issues, perceptual issues, and issues relating to information content. Our research has implications for the information design of data-driven Personas.
-
Customer segmentation using online platforms: isolating behavioral and demographic segments for Persona Creation via aggregated user data
Social Network Analysis and Mining, 2018Co-Authors: Haewoon Kwak, Joni Salminen, Soongyo Jung, Bernard J JansenAbstract:We propose a novel approach for isolating customer segments using online customer data for products that are distributed via online social media platforms. We use non-negative matrix factorization to first identify behavioral customer segments and then to identify demographic customer segments. We employ a methodology for linking the two segments to present integrated and holistic customer segments, also known as Personas. Behavioral segments are generated from customer interactions with online content. Demographic segments are generated using the gender, age, and location of these customers. In addition to evaluating our approach, we demonstrate its practicality via a system leveraging these customer segments to automatically generate Personas, which are fictional but accurate representations of each integrated behavioral and demographic segment. Results show that this approach can accurately identify both behavioral and demographical customer segments using actual online customer data from which we can generate Personas representing real groups of people.