J. An’s research while affiliated with Hamad bin Khalifa University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (1)


Fig. 1. Automatic personas generation (APG) approach. The APG approach is a six-step process to convert raw Web analytics data into rich persona descriptions.
Fig. 2. Overview of matrix decomposition for identifying distinct interaction patterns and then impactful demographic segments, which form the basis for the resulting personas.
Fig. 5. AJ+ YouTube channel, sample digital content and example from video comments section.
Fig. 6. An example of the AJ+ YouTube Analytics interface via the YouTube API, from which we access the research data.
Fig. 7. Topics of interest, most viewed content, persona snippets, and social media comments used in the persona descriptions. Quotes are social media comments from the appropriate platform (e.g., YouTube, Facebook, Twitter).

+3

Imaginary People Representing Real Numbers: Generating Personas from Online Social Media Data
  • Article
  • Full-text available

November 2018

·

1,771 Reads

·

106 Citations

ACM Transactions on the Web

J. An

·

H. Kwak

·

S. Jung

·

[...]

·

B. Jansen

We develop a methodology to automate creating imaginary people, referred to as personas, by processing complex behavioral and demographic data of social media audiences. From a popular social media account containing more than 30 million interactions by viewers from 198 countries engaging with more than 4,200 online videos produced by a global media corporation, we demonstrate that our methodology has several novel accomplishments, including: (a) identifying distinct user behavioral segments based on the user content consumption patterns; (b) identifying impactful demographics groupings; and (c) creating rich persona descriptions by automatically adding pertinent attributes, such as names, photos, and personal characteristics. We validate our approach by implementing the methodology into an actual working system; we then evaluate it via quantitative methods by examining the accuracy of predicting content preference of personas, the stability of the personas over time, and the generalizability of the method via applying to two other datasets. Research findings show the approach can develop rich personas representing the behavior and demographics of real audiences using privacy-preserving aggregated online social media data from major online platforms. Results have implications for media companies and other organizations distributing content via online platforms.

Download

Citations (1)


... Abbas et al. [1] surveyed existing literature on how machine learning is utilized in user experience design, and Dave et al. [15] conducted a survey on AI-based approaches to turn UI mockups into wireframes and prototypes, and such approaches have reported good results [6,61]. Other work in this area has explored using AI/ML to, among other things, assist in creating design proposals [13], serve as a collaborative partner to foster self-reflection [73] and creativity [32] among designers, generate personas [5,33,62], and communicate data analysis findings to UX researchers [39]. ...

Reference:

Generative AI in User Experience Design and Research: How Do UX Practitioners, Teams, and Companies Use GenAI in Industry?
Imaginary People Representing Real Numbers: Generating Personas from Online Social Media Data

ACM Transactions on the Web