Next Article in Journal
Keyword Search over RDF: Is a Single Perspective Enough?
Next Article in Special Issue
Using Big and Open Data to Generate Content for an Educational Game to Increase Student Performance and Interest
Previous Article in Journal
Sound Event Detection in Underground Parking Garage Using Convolutional Neural Network
Previous Article in Special Issue
A Personalized Heritage-Oriented Recommender System Based on Extended Cultural Tourist Typologies
Article

Data-Assisted Persona Construction Using Social Media Data

1
Department of Informatics and Telecommunications, University of the Peloponnese, 22100 Tripolis, Greece
2
Department of Informatics and Telecommunications, University of Athens, 15784 Athens, Greece
*
Author to whom correspondence should be addressed.
Big Data Cogn. Comput. 2020, 4(3), 21; https://doi.org/10.3390/bdcc4030021
Received: 19 June 2020 / Revised: 12 August 2020 / Accepted: 14 August 2020 / Published: 19 August 2020
(This article belongs to the Special Issue Big Data Analytics for Cultural Heritage)
User experience design and subsequent usability evaluation can benefit from knowledge about user interaction, types, deployment settings and situations. Most of the time, the user type and generic requirements are given or can be obtained and used to model interaction during the design phase. The deployment settings and situations can be collected through the needfinding phase, either via user feedback or via the automatic analysis of existing data. Personas may be defined using the aforementioned information through user research analysis or data analysis. This work utilizes an approach to activate an accurate persona definition early in the design cycle, using topic detection to semantically enrich the data that are used to derive the persona details. This work uses Twitter data from a music event to extract information that can be used to assist persona creation. A user study in persona construction compares the topic modelling metadata to a traditional user collected data analysis for persona construction. The results show that the topic information-driven constructed personas are perceived as having better clarity, completeness and credibility. Additionally, the human users feel more attracted and similar to such personas. This work may be used to model personas and recommend suitable ones to designers of other products, such as advertisers, game designers and moviegoers. View Full-Text
Keywords: persona; user experience; user interface design; topic modelling; usability; personalization; cultural events persona; user experience; user interface design; topic modelling; usability; personalization; cultural events
Show Figures

Figure 1

MDPI and ACS Style

Spiliotopoulos, D.; Margaris, D.; Vassilakis, C. Data-Assisted Persona Construction Using Social Media Data. Big Data Cogn. Comput. 2020, 4, 21. https://doi.org/10.3390/bdcc4030021

AMA Style

Spiliotopoulos D, Margaris D, Vassilakis C. Data-Assisted Persona Construction Using Social Media Data. Big Data and Cognitive Computing. 2020; 4(3):21. https://doi.org/10.3390/bdcc4030021

Chicago/Turabian Style

Spiliotopoulos, Dimitris, Dionisis Margaris, and Costas Vassilakis. 2020. "Data-Assisted Persona Construction Using Social Media Data" Big Data and Cognitive Computing 4, no. 3: 21. https://doi.org/10.3390/bdcc4030021

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop