Exploring User Experience of Smartphones in Social Media: A Mixed-Method Analysis

• Published in: International journal of human-computer interaction Vol. 34; no. 10; pp. 960 - 969
• Main Authors: Rhiu, Ilsun, Yun, Myung Hwan
• Format: Journal Article
• Language: English
• Published: Norwood Taylor & Francis 03.10.2018; Lawrence Erlbaum Associates, Inc
• Subjects: Autonomy; Data mining; Digital media; Mixed methods research; Smartphones; Social networks; User experience; User interfaces
• ISSN: 1044-7318; 1532-7590; 1044-7318
• DOI: 10.1080/10447318.2018.1471572

This study aims to analyze and categorize user experience (UX) of smartphones by utilizing social media data (Twitter). Social media (e.g., Facebook, Twitter) can be helpful for observing natural UX through the users' words. It is a potentially valuable source of data that can be used to examine the thoughts of millions of people. To gather UXs of smartphones, mining social media data (Twitter) techniques were used. Collected UXs were categorized according to the product smartness and the relationship between the product smartness and UXs were identified. A total of 19,288 tweets involving the term "smartphone" were collected from 2014.06.01 to 2014.08.31. Among these, a total of 699 tweets were related to UXs of smartphones. In addition, 478 tweets were categorized according to the five dimensions of product smartness (Autonomy, Adaptability, Multi-functionality, Connectivity, and Personalization). Results found that many satisfactory experiences for all dimensions, but there were unsatisfactory experiences associated with the multi-functionality and connectivity. Findings suggest that mining techniques can be used to gather and analyze UX effectively and efficiently. Also, the results of this study can be helpful for understanding user's implicit needs concerning smartphones, and provide valuable insights for developing smartphones.