Knowledge Base Repository
In addition to research papers, the Design Society is developing several valuable resources for those interested in the study of design. These include a repository of PhD theses, a library of case studies and transcripts of design activities, and an archive of our newsletters. Please note that these resources are accessible exclusively to Design Society members.
Exploring online reviews for user experience modeling
Liang, Yan; Liu, Ying; Loh, Han Tong
Type:
Year:
2013
Editor:
Udo Lindemann, Srinivasan V, Yong Se Kim, Sang Won Lee, John Clarkson, Gaetano Cascini
Author:
Series:
ICED
Institution:
Mechanical Engineering, National University of Singapore, Singapore
Page(s):
237-246
ISBN:
978-1-904670-50-6
ISSN:
2220-4334
Abstract:
In the market-driven design paradigm which aims to serve customers with attractive user experience (UX), one of the important stages is to understand customerâs feelings about products. Traditional techniques like questionnaire remain important approaches to collect data for UX analysis. However, the data captured are often limited and incremental costs are needed to acquire userâs changeable experiences over time. In addition, with the wide use of social software, customers have generated increasing amount of online reviews to share their opinions. In this paper, we aim to investigate whether online reviews are suitable data sources for UX analysis and how useful reviews can be surfaced. Firstly, by considering UX elements and data processing, a faceted-based UX model is proposed. We then measure review content from several aspects, such as richness and diversity, and propose scoring methods to identify useful reviews. Using Amazon reviews as research data, we have reported our experiments on issues like a brief example of useful reviews suggested by the proposed methods, situation-based features concerned by customers and some key product features generated from reviews.
Keywords:
