Data-Assisted Persona Construction Using Social Media Data
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 de...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-08-01
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| Series: | Big Data and Cognitive Computing |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2504-2289/4/3/21 |
| _version_ | 1797557153255391232 |
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| author | Dimitris Spiliotopoulos Dionisis Margaris Costas Vassilakis |
| author_facet | Dimitris Spiliotopoulos Dionisis Margaris Costas Vassilakis |
| author_sort | Dimitris Spiliotopoulos |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T17:13:18Z |
| format | Article |
| id | doaj.art-884e4c4701ab413faf51b59b5e0b751d |
| institution | Directory Open Access Journal |
| issn | 2504-2289 |
| language | English |
| last_indexed | 2024-03-10T17:13:18Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Big Data and Cognitive Computing |
| spelling | doaj.art-884e4c4701ab413faf51b59b5e0b751d2023-11-20T10:34:34ZengMDPI AGBig Data and Cognitive Computing2504-22892020-08-01432110.3390/bdcc4030021Data-Assisted Persona Construction Using Social Media DataDimitris Spiliotopoulos0Dionisis Margaris1Costas Vassilakis2Department of Informatics and Telecommunications, University of the Peloponnese, 22100 Tripolis, GreeceDepartment of Informatics and Telecommunications, University of Athens, 15784 Athens, GreeceDepartment of Informatics and Telecommunications, University of the Peloponnese, 22100 Tripolis, GreeceUser 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.https://www.mdpi.com/2504-2289/4/3/21personauser experienceuser interface designtopic modellingusabilitypersonalization |
| spellingShingle | Dimitris Spiliotopoulos Dionisis Margaris Costas Vassilakis Data-Assisted Persona Construction Using Social Media Data Big Data and Cognitive Computing persona user experience user interface design topic modelling usability personalization |
| title | Data-Assisted Persona Construction Using Social Media Data |
| title_full | Data-Assisted Persona Construction Using Social Media Data |
| title_fullStr | Data-Assisted Persona Construction Using Social Media Data |
| title_full_unstemmed | Data-Assisted Persona Construction Using Social Media Data |
| title_short | Data-Assisted Persona Construction Using Social Media Data |
| title_sort | data assisted persona construction using social media data |
| topic | persona user experience user interface design topic modelling usability personalization |
| url | https://www.mdpi.com/2504-2289/4/3/21 |
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