EVOKEDB: A KANSEI DATABASE SYSTEM FOR AUTOMATED SURVEYS

• NORDGREN Andreas

  Keio University

• AOYAMA Hideki

  Keio University

Abstract

Kansei Engineering methods are difficult to implement into the design process due to a lack of specialized tools in the public domain. Surveys are costly to conduct, and the use and analysis of data through simplified models may not explore the deeper meaning of how Kansei relates to complex artifacts. EvokeDB, a Kansei database system for automated surveys, was created to address these issues. It implements a new model of Kansei, where realms and senses are considered important entities, into a flexible and usable web-application based on the Ruby on Rails framework. A database structure is presented, along with a description of how tables are mapped to programming objects in order to create a rich set of relationships that can be used to explore Kansei. The systems' opensource components, and the data flow between them, are explained A simulated project exemplifies the steps needed to set-up and launch an un-supervised, on-line survey to multiple, remote users.

Journal

• KANSEI Engineering International

  KANSEI Engineering International 7 (2), 101-112, 2008

  Japan Society of Kansei Engineering

Keywords

• Kansei Database
• Kansei Measuring
• Survey
• Ruby on Rails
• AJAX

Details

• CRID: 1390282679459770880
• NII Article ID: 130004301740
• DOI: 10.5057/kei.7.101
• ISSN: 18845231
• ISSN: 13451928
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed